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Celem opracowania poniższego wykazu było nie tyle stworzenie pełnej listy prac, co wyszczególnienie pozycji merytorycznie kluczowych, o szczególnym znaczeniu historycznym oraz w miarę możliwości dostępnych w postaci pełnotekstowej w sieci internet lub w źródłach ogólnie dostępnych (artykuły w czasopismach, ksiażki wydane w Polsce), umożliwiających polskiemu czytelnikowi samodzielne rozwijanie wiedzy z tego zakresu. Dołączono ponadto najważniejsze prace w języku angielskim (książki i artykuły w czasopismach).
Tam, gdzie to było możliwe podano odsyłacz do wersji elektronicznej tekstu. Ponieważ bibliografia jest konsekwentnie aktualizowana, nowe odsyłacze są dodawane na bieżąco. W związku z tym brak odsyłacza przy danej pozycji nie oznacza, że nie jest on dostępny w wersji elektronicznej. Dlatego zachęcamy odbiorców niniejszej bibliografii do samodzielnego sprawdzenia dostępności aktualnej wersji tekstu.
Bibliografia

I.      Statystyka, biostatystyka, analiza danych

II.     Prace z zakresu EBM, HTA, metodologii badań klinicznych, farmakoekonomiki, epidemiologii klinicznej, oceny jakości życia

a)     Epidemiologia, epidemiologia kliniczna

b)     EBM, przeglądy systematyczne, metaanalizy

c)     Medyczne bazy danych, wyszukiwanie informacji

d)     Badania kliniczne

e)     HTA, ekonomika zdrowia, farmakoekonomika

f)      EBHC i zastosowania HTA / EBM

g)     Decyzje medyczne, modelowanie, badania operacyjne

h)     Pomiar zdrowia, metody jakościowe

i)      Metody bayesowskie

j)      Słowniki, bibliografie.

III.       Materiały do historii EBM i HTA

IV.       Inne artykuły, teksty krytyczne, komentarze, varia

 


I.Statystyka, biostatystyka, analiza danych

  1. Armitage P., Berry G., Statistical Methods in Medical Research, Blackwell, Oxford 1994. (polskie tłumaczenie: Armitage P., Metody statystyczne w badaniach medycznych, PZWL, Warszawa 1978).
  2. Box G. E. P., Hunter W. G., Hunter J. S., Statistics for Experimenters, Wiley, New York, 1978.
  3. Lang T., Twenty Statistical Errors Even YOU Can Find in Biomedical Research Articles, Croatian Medical Journal, 45(4):361-370,2004.
  4. Brandt S., Analiza danych, PWN, Warszawa 1998.
  5. Buchanan-Wollaston H., The philosophic basis of statistical analysis, J. Int. Council Explor. Sea 1935; 10:249–263.
  6. Byrne D. W., How to Learn Everything You Ever Wanted to Know About Statistics, http://www.mc.vanderbilt.edu/gcrc/workshop_files/2002-10-04.ppt
  7. Casella G., Berger R. L., Statistical Inference, Wadsworth & Brooks, Pacific Grove 1990.
  8. Chernick M. R., Friis R. H., Introductory Biostatistics for the Health Sciences: Modern Applications Including Bootstrap, Wiley-Interscience, 2003.
  9. Coggon D., Statistics in Clinical Practice, BMJ Publishing Group, London 1995.
  10. Cook R., Sackett D. L., The number needed to treat: a clinically useful measure of treatment effect, BMJ 1995;310:452-454.
  11. Cordell W. H., Number needed to treat (NNT), Acad. Emerg. Med. 1999; 33: 433-436.
  12. Cox D. R., Some problems connected with statistical inference, Ann. Math. Stat. 1958; 29:357–372.
  13. Cox D. R., The role of significance tests, Scand J. Stat. 1977; 4:49–70.
  14. Daniel W. W., Biostatistics: A Foundation for Analysis in the Health Sciences, John Wiley & Sons, 2004.
  15. Davison A. C., Hinkley D. V., Bootstrap Methods and Their Application, Cambridge University Press, New York 1997.
  16. Dawson B. i wsp., Basic & Clinical Biostatistics, McGraw-Hill Medical, 2004.
  17. Durka P. J., Wstęp do współczesnej statystyki, Wydawnictwo Adamantan, Warszawa 2003.
  18. Dyke G., How to avoid bad statistics, Field Crops Res. 1997; 51:165–197.
  19. Efron B., Tibshirani R., An Introduction to the Bootstrap, Chapman and Hall, New York 1993.
  20. Feller W., Wstęp do rachunku prawdopodobieństwa, PWN, Warszawa 1981.
  21. Fisher R. A., Statistical Methods and Scientific Inference, Macmillan, New York 1973.
  22. Fisz M., Rachunek prawdopodobieństwa i statystyka matematyczna, PWN, Warszawa 1958.
  23. Gajek L., Kałuszka M., Wnioskowanie statystyczne. Modele i metody, WNT, Warszawa 1996.
  24. Gehan E. A., Lemak N. A., Statistics in Medical Research, Plenum Medical Book Company, New York 1994.
  25. Glantz S., Biostatistics: How to detect, correct and prevent errors in the medical literature, Circulation 1980; 61:1–7.
  26. Good P. I., Hardin J. W., Common Errors in Statistics (and How to Avoid Them), Wiley, 2003.
  27. Good P. I., Resampling Methods, Birkhauser, Boston 2001.
  28. Gore S., Altman D., Statystyka w praktyce lekarskiej, Wyd. Naukowe PWN, Warszawa 1997.
  29. Greenland S., Randomization, statistics, and causal inference, Epidemiology 1990; 1:421–429.
  30. Greń J., Statystyka matematyczna. Modele i zadania, PWN, Warszawa 1976.
  31. Grzegorzewski P. i wsp., Rachunek prawdopodobieństwa i statystyka, WSISiZ, Warszawa 2005.
  32. Guyatt G. i wsp., Correlation and regression, Can Med Assoc J 1995 Feb 15; 152(4): 497-504, http://www.cmaj.ca/cgi/content/abstract/152/4/497
  33. Guyatt G. i wsp., Hypothesis testing, Can Med Assoc J 1995 Jan 1; 152(1): 27-32, http://www.cmaj.ca/cgi/content/abstract/152/1/27
  34. Guyatt G. i wsp., Interpreting study results: confidence intervals, Can Med Assoc J 1995 Jan 15; 152(2): 169-173, http://www.cmaj.ca/cgi/content/abstract/152/2/169
  35. Hellwig Z., Elementy rachunku prawdopodobieństwa i statystyki matematycznej, PWN 1998.
  36. Hill B., A Short Textbook of Medical Statistics, Oxford University Press, Oxford 1977.
  37. Jakubowski J., Sztencel R., Rachunek prawdopodobieństwa dla (prawie) każdego, Script, Warszawa 2002.
  38. Jakubowski J., Sztencel R., Wstęp do teorii prawdopodobieństwa, Script, Warszawa 2000.
  39. Jędrychowski W., Penar A., Statystyczna analiza wyników badań naukowych w medycynie i biologii, Wydawnictwo UJ, Kraków 2000.
  40. Jóźwiak J., Podgórski J., Statystyka od podstaw, PWE 2006.
  41. Koronacki J., Mielniczuk J., Statystyka, WNT, Warszawa 2001.
  42. Lindley D., The philosophy of statistics (with discussion), The Statistician 2000; 49:293–337.
  43. Little R. J. A., Rubin D. B., Statistical Analysis with Missing Data, John Wiley & Sons, New York 1987.
  44. Mantel N., Haenszel W., Statistical aspects of the analysis of data from retrospective studies of disease, J. Natl. Cancer Inst. 1959; 22: 719-748.
  45. Middleton M. R., Microsoft Excel w analizie danych, Wydawnictwo RM, 2003.
  46. Moczko J., Bręborowicz G., Tadeusiewicz K., Statystyka w badaniach medycznych, Springer PWN, Warszawa 1998.
  47. Moses L., Statistical concepts fundamental to investigations, N. Engl. J. Med. 1985; 312:890-897.
  48. Norman G., Streiner D., Biostatistics: the Bare Essentials, Mosby, St Louis 1994.
  49. Petrie A., Sabin C., Statystyka medyczna w zarysie, PZWL, Warszawa 2006.
  50. Podstawy statystyki, dostępny: http://www.mp.pl/artykuly/index.php?lid=356
  51. Poole C., Low p-values or narrow confidence intervals: Which are more durable? Epidemiology 2001; 12:291–294.
  52. Radhakrishna Rao C., Statystyka i prawda, Wydawnictwo Naukowe PWN, Warszawa 1994.
  53. Rothman K. J., Statistics in nonrandomized studies, Epidemiology 1990b; 1:417–418.
  54. Royall R. M., Statistical Evidence: A Likelihood Paradigm, Chapman and Hall, New York 1997.
  55. Sawicki F., Elementy statystyki dla lekarzy, PZWL, 1982.
  56. Seidenfeld T., Philosophical Problems of Statistical Inference, Reidel, Boston 1979.
  57. Silvey S. D., Wnioskowanie statystyczne, PWN, Warszawa 1978.
  58. Sobczyk M., Statystyka, PWN, Warszawa 1996.
  59. Stanisz A., Przystępny kurs statystyki z zastosowaniem STATISTICA PL na przykładach z medycyny. Tom 1. Statystyki podstawowe, StatSoft Polska, Kraków, 2006.
  60. Streiner D. L., Maintaining standards: differences between the standard deviation and standard error, and when to use each, Can. J. Psychiatry 1996; 41:498-502.
  61. Watała C., Biostatystyka – wykorzystanie metod statystycznych w pracy badawczej w naukach biomedycznych, Alfa Medica Press, Bielsko-Biała 2002.
  62. White S. J., Ashby D., Brown P. J., An introduction to statistical methods for health technology assessment, Health Technol Assess 2000;4(8), dostępny: http://www.ncchta.org/fullmono/mon408.pdf
  63. World Health Organization, Statistical Indicators for the Planning and Evaluation of Public Health Programs: Fourteenth Report of the Expert Comittee on Health Statistics, WHO Technical Report Series No. 472, Geneva 1971.


II.  Prace z zakresu EBM, HTA, metodologii badań klinicznych, farmakoekonomiki, epidemiologii klinicznej, oceny jakości życia


a) Epidemiologia, epidemiologia kliniczna

  1. Barker D. J. P., Hall A. J., Practical Epidemiology, Churchill Livingstone, Edinburgh 1991.
  2. Beaglehole R., Bonita R., Kjellstrom T., Podstawy epidemiologii, Wydawnictwo IMP, Łódź 1996.
  3. Brzeziński Z. J., Szamotulska K., Epidemiologia kliniczna, PZWL, Warszawa, 1997.
  4. Coggon D., Rose G., Barker D. J. P., Epidemiology for the Uninitiated, BMJ Publishing Group 1997, dostępny: http://bmj.bmjjournals.com/epidem/epid.html
  5. Evans A. S., Causation and disease: a chronological journey, Am. J. Epidemiol. 1978; 108: 249-258.
  6. Fletcher R. H., Fletcher S. W., Wagner E. H., Clinical epidemiology: the Essentials, Williams & Wilkins, Baltimore 1995.
  7. Freedman D. A., From association to causation, Stat. Sci. 1999; 14:243–258.
  8. Jabłoński L., Epidemiologia. Podręcznik dla lekarzy i studentów, Folium, 1999.
  9. Jadad A. R. i wsp., Assessing the quality of reports of randomized clinical trials: Is blinding necessary? Controlled Clin Trials 1996; 17:1-12.
  10. Jędrychowski W., Podstawy epidemiologii, Wydawnictwo Uniwersytetu Jagiellońskiego, 2002.
  11. Kundi M., Causality and the Interpretation of Epidemiological Evidence, Environmental Health Perspectives, The National Institute of Environmental Health Sciences, National Institutes of Health, dostępny: http://www.ehponline.org/members/2006/8297/8297.pdf
  12. Norell S. E., Workbook of Epidemiology, Oxford University Press, New York, Oxford 1995.
  13. Parascandola M., Weed D. L., Causation in epidemiology, J. Epidemiol. Community Health 2001;55;905-912, dostępny: http://jech.bmjjournals.com/cgi/content/full/55/12/905
  14. Pearce N., A short introduction to Epidemiology, Occasional Report Series No 2, Centre for Public Health Research, Massey University Wellington Campus, http://publichealth.massey.ac.nz/publications/introepi.pdf
  15. Pearl J., Causal Inference in the Health Sciences: A Conceptual Introduction, Technical Report R-282, 2001, dostępny: ftp://ftp.cs.ucla.edu/pub/stat_ser/R282.pdf
  16. Robins J., Data, Design, and Background Knowledge in Etiologic Inference, Epidemiology, 11 (3), 313{320}, 2001.
  17. Rothman K. J., Greenland S., Causation and Causal Inference in Epidemiology, American Journal of Public Health, Supplement 1, 2005, Vol 95, No. S1.
  18. Rothman K. J., Modern Epidemiology, Little, Brown, Boston 1986.
  19. Sackett D. L. i wsp., Clinical epidemiology: a basic science for clinical medicine, Little, Brown & Company, 1991.
  20. Szeszenia-Dąbrowska N. (red.), Podstawy epidemiologii. Podręcznik dla słuchaczy studiów podyplomowych oraz słuchaczy Szkoły Zdrowia Publicznego, Instytut Medycyny Pracy, Łódź 1996.
  21. Vineis P., Causality in epidemiology, Soz.- Präventivmed. 48 (2003) 80–87.
  22. Weiss N. S., Inferring causal relationships: elaboration of the criterion of „dose-response”, Am. J. Epidemiol. 1981; 124:985-990.
  23. Woodward J., Making Things Happen: A Theory of Causal Explanation, Oxford University Press, 2005.
  24. Zieliński A., Mazurek J., Badanie związków przyczynowych w epidemiologii, Ruch Filozoficzny 2002;59:275-87.


b) EBM, przeglądy systematyczne, metaanalizy

  1. Alderson P., Green S., Cochrane Collaboration open learning material for reviewers, dostępny: http://www.cochrane-net.org/openlearning/PDF/Openlearning-full.pdf
  2. Bailar J. C., The promise and problems of meta-analysis, N Engl J Med 1997 Aug 21; 337(8): 559-561.
  3. Baujat B., Mahe C., Pignon J. P., Hill C., A graphical method for exploring heterogeneity in meta-analyses: application to a meta-analysis of 65 trials, Statistics in Medicine 2002;
    20:3635–3647.
  4. Berkey C. i wsp., A random effects regression model for meta-analysis, Stat. Med. 1995; 14:395–411.
  5. Berlin J. A. i wsp., A comparison of statistical methods for combining event rates from clinical trials, Stat. Med. 1989; 8:141–151.
  6. Bero L. A., Jadad A. R., How consumers and policymakers can use systematic reviews for decision making, Ann Intern Med 1997 July 1; 127(1): 37-42, http://www.acponline.org/journals/annals/01jul97/consumer.htm
  7. Cappelleri J. C. i wsp., Large trials vs. meta-analysis of smaller trials: how do their results compare? JAMA 276: 1332-1338, 1996.
  8. Chalmers I., Altman D. G., Systematic reviews, BMJ Publishing Group, London 1995.
  9. Chalmers T. C. i wsp., Bias in treatment assignment in controlled clinical trials, New England J. Med. 1983; 309:1358–1361.
  10. Cochrane Reviewers’ Handbook, version 4. 2. 5, The Cochrane Collaboration, March 2004, dostępny: http://www.cochrane.org/resources/handbook/handbook.pdf
  11. Concato J., Shah N., Horwitz R. I., Randomized, controlled trials, observational studies, and the hierarchy of research designs, N Engl J Med 2000;342:1887–1892.
  12. Cook D. J. i wsp., The relation between systematic reviews and practice guidelines, Ann Intern Med 1 Aug 1997; 127(3): 210-216, http://www.acponline.org/journals/annals/01aug97/systrev.htm
  13. Cook D. J., Mulrow C. D., Haynes R. B., Systematic reviews: synthesis of best evidence for clinical decisions, Ann Intern Med 1997 Mar 1; 126(5):376-80, http://www.acponline.org/journals/annals/01mar97/bestevid.htm
  14. Cooper H. M., Rosenthal R., Statistical versus traditional procedures for summarising research findings, Psychol. Bull. 1980; 87:442–449.
  15. Cooper, H. M., Hedges, L. V. (red.), The Handbook of Research Synthesis, Sage Publications New York 1994.
  16. Croskerry P., Achieving quality in clinical decision making: cognitive strategies and the detection of bias, Acad. Emerg. Med. 2002; 9: 1184.
  17. Dawes M., Evidence-based practice: a primer for health care professionals, Churchill Livingstone, Edinburgh 1999.
  18. Definitions of Evidence Based Medicine [w:] http://www.shef.ac.uk/~scharr/ir/def.html
  19. Deighan M., Hitch S. (red.), Clinical effectiveness: from guidelines to cost-effective practice, Brentwood, Essex: Earlybrave Publications Limited, 1995.
  20. Dixon R. A., Munro J. F., Silcocks P. B., The Evidence Based Medicine Workbook: Critical Appraisal for Clinical Problem Solving, Oxford University Press, Oxford 1997.
  21. Dunn G., Everitt B., Clinical biostatistics: an introduction to evidence-based medicine, E. Arnold, Halsted Press, London, New York 1995.
  22. Easterbrook P. J. i wsp., Publication bias in clinical research, Lancet 1991; 337:867–872.
  23. Eddy D. M., Hasselblad V., Shachter R., Meta-analysis by the confidence profile method. The statistical synthesis of evidence, Academic Press, Boston 1992.
  24. Egger M, Davey Smith G. Meta-analysis: potentials and promise. BMJ 1997; 315: 1371-4, http://bmj.bmjjournals.com/archive/7119/7119ed.htm
  25. Egger M., Smith G. D., Phillips A. N., Meta-analysis: Principles and procedures, BMJ 1997; 315:1533–1537.
  26. Egger M.,Smith G. D., Altman D. G., Systematic Reviews in Health Care: Meta-Analysis in Context, BMJ Publishing Group 2001 (dostępny także jako seria artykułów: Juni P, Altman DG, Egger M.Systematic reviews in health care: Assessing the quality of controlled clinical trials.BMJ 2001;323:42-6, Sterne JAC, Egger M, Smith GD.Investigating and dealing with publication and other biases in meta-analysis.BMJ 2001;323:101-105, Deeks JJ.Systematic reviews of evaluations of diagnostic and screening tests.BMJ 2001;323:157-162, Altman DG.Systematic reviews of evaluations of prognostic variables.BMJ 2001;323:224-228)
  27. Ellrodt G. i wsp., Evidence-based disease management, JAMA 1997 26 Nov; 278(20):1687-92.
  28. Elwood J. M., Critical Appraisal of Epidemiological Studies and Clinical Trials, Oxford University Press, New York 1998.
  29. Ernst E., Evidence based complementary medicine: a contradiction in terms? Ann. Rheum. Dis. 1999;58:69-70.
  30. Everitt B. S. (red.), Meta-analysis, Statistical Methods in Medical Research 1993; 2: 117-192 .
  31. Evidence Based Medicine (EBM), dostępny http://www.mp.pl/artykuly/index.php?lid=357
  32. Evidence Based Medicine [w:] Medical Subject Heading (MeSH) scope note in MEDLINE database, http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?CMD=search&DB=mesh lub [w:] BMJ 1995; 310: 1122
  33. Friedland D. J. i wsp., Evidence-Based Medicine: A Framework for Clinical Practice, Appleton & Lange, Stamford 1998.
  34. Gelbach S. H., Interpreting the Medical Literature, McGraw-Hill, New York, 1993.
  35. Geyman J. P., Deyo R. A., Ramsey S. D., Evidence Based Clinical Practice: Concepts and Approaches, Butterworth Heinemann, Boston 1999.
  36. Gioacchino L., Meta-analysis In Medical Research: The Handbook for the Understanding and Practice of Meta-Analysis, Blackwell Publishers, 2005
  37. Glasziou P., EBM – rola Cochrane Collaboration i Cochrane Library, Medycyna Praktyczna 2003/03.
  38. Glasziou P., Irwig L., Bain C., Colditz G., Systematic Reviews in Health Care: A Practical Guide, Cambridge University Press 2001.
  39. Glasziou P., Sanders S. L., Investigating causes of heterogeneity in systematic reviews, Statistics in Medicine 2002; 21:1503–1511.
  40. Godlee F., Applying research evidence to individual patients (editorial) BMJ 1998 30 May; 316(7145): 1621-1622, dostępny http://www.bmj.com/cgi/content/full/316/7145/1621
  41. Goodman C., Literature searching and evidence interpretation for assessing health care practices, SBU: The Swedish Council on Technology Assessment in Health Care, Stockholm 1993.
  42. Greenhalgh T., How to Read a Paper: The Basics of Evidence-based Medicine, Bmj Publishing Group; 2006, http://bmj.bmjjournals.com/collections/read.shtml
  43. Greenhalgh T., Papers that summarise other papers (systematic reviews and meta-analyses), Br Med J 315: 672-5, 1997.
  44. Guyatt G. H., Drummond R., Rennie D., Users' Guides to the Medical Literature: A Manual for Evidence-Based Clinical Practice, American Medical Association Press, Chicago 2002 (dostępny: http://www.cche.net/usersguides/main.asp lub http://www.shef.ac.uk/scharr/ir/userg.html)
  45. Haines A., Donald A., Getting research findings into practice, BMJ Books, London 1998, dostępny: http://www.health.library.mcgill.ca/ebm/haines.hm
  46. Hedges L. V., Olkin I., Statistical Methods for Meta Analysis, Academic Press, New York 1985.
  47. Henry J., McQuay D. M., Moore R. A., Using Numerical Results from Systematic Reviews in Clinical Practice, Annals of Internal Medicine, 1 May 1997 | Volume 126 Issue 9 | Pages 712-720, http://www.annals.org/cgi/content/full/126/9/712
  48. Higgins J. P. T., Thompson S. G., Quantifying heterogeneity in a meta-analysis, Statist. Med. 2002; 21:1539–1558.
  49. Hunter J. E., Schmidt F. L., Methods of Meta-Analysis. Correcting Error and Bias in Research Findings, SAGE Publications, Newbury Park 2004.
  50. Jadad A. R., Methodology and Reports of Systematic Reviews and Meta-analyses. A Comparison of Cochrane Reviews With Articles Published in Paper-Based Journals, JAMA, July 15, 1998–Vol 280, No. 3.
  51. Jadad A., Randomised Controlled Trials: A User's guide, BMJ, London 1997.
  52. Jaeschke R. i wsp., Assessing the effects of treatment: measures of association, Can Med Assoc J 1995 Feb 1; 152(3): 351-357, dostępny: http://www.cmaj.ca/cgi/content/abstract/152/3/351
  53. Jaeschke R., Cook D., Guyatt G., Evidence based medicine (EBM), czyli praktyka medyczna oparta na wiarygodnych i aktualnych publikacjach (POWAP), „Medycyna Praktyczna”, wydanie specjalne 1/ 1999.
  54. Knottnerus JA, van Weel C, Muris JWM.1.Evaluation of diagnostic procedures.BMJ 2002;324:477-80
  55. Levels of Evidence [w:] http://www.cebm.net/levels_of_evidence.asp
  56. Light R. J., Pillemar D. B., Summing Up: The Science of Reviewing Research. Harvard University Press, Cambridge 1984.
  57. Lockett T., Evidence-based and cost-effective medicine for the uninitiated, Radcliffe Medical Press, Oxford, NewYork 1997.
  58. Mallett S., Clarke M., The typical Cochrane Review, International Journal of Technology Assessment in Health Care 18:820-823, 2002.
  59. Mayer D., Essential Evidence-Based Medicine, Cambridge University Press, 2004.
  60. McGee S. R., Evidence-Based Physical Diagnosis, Saunders, Philadelphia 2001.
  61. Moher D. i wsp., Assessing the quality of reports of randomised trials: implications for the conduct of meta-analyses, Health Technol Assess 1999;3(12), dostępny: http://www.hta.nhsweb.nhs.uk/fullmono/mon312.pdf
  62. Mulrow C. D., Cook D., Davidoff F., Systematic reviews: critical links in the great chain of evidence [editorial; comment], Ann Intern Med 1997 Mar 1; 126(5):389-91, dostępny: http://www.acponline.org/journals/annals/01mar97/critlink.htm
  63. Mulrow C. D., The medical review article: state of the science, Ann Intern Med,106: 485-8, 1987.
  64. Mulrow C., Cook D., Systematic Reviews: Synthesis of Best Evidence for Health Care Decisions, ACP, Philadelphia 1998.
  65. Mulrow C., Langhorne P., Grimshaw J., Integrating heterogeneous pieces of evidence in systematic reviews, Ann Intern Med 1997 Dec 1; 127(11): 989-995, dostępny: http://www.acponline.org/journals/annals/01dec97/evidence.htm
  66. Nicoll D., Detmer W. M., Basic Principles of Diagnostic Test Use and Interpretation [w:] Pocket Guide to Diagnostic Tests, Third Edition, Lange/McGraw-Hill 2003, dostępny: http://www.people.virginia.edu/~wmd4n/pgdt/ch1.pdf
  67. Niżankowski R. i wsp., Analiza efektywności, Uniwersyteckie Wydawnictwo Medyczne „Vesalius”, Kraków 2002, dostępny: http://www.bpz.gov.pl/
  68. Petitti D. B., Meta Analysis, Decision Analysis and Cost-effectiveness Analysis: Methods for Quantitative Synthesis in Medicine, Oxford University Press, New York 2000.
  69. Reynolds S., Trinder L., Evidence-based practice: a critical appraisal, Blackwell Science, Oxford 2000.
  70. Riegelman R. K., Hirsch D. S., Studying a Study and Testing a Test. How to Read the Medical Literature, Little Brown, Boston 2000.
  71. Sackett D. L. . i wsp., Evidence Based Medicine – what it is and what it isn’t, BMJ 1996; 312: 71-2
  72. Sackett D. L., Bias in analytic research, J. Chronic Dis. 1979; 32: 51-63.
  73. Sackett DL, Haynes RB.2.The architecture of diagnostic research.BMJ 2002;324:539-41
  74. Sackett, D. L. i wsp. Evidence-based Medicine: How to Practice and Teach EBM, 2nd ed. New York: Churchill Livingstone, 2000.
  75. Schulze R., Meta-Analysis: A Comparision of Approaches, Hogrefe & Huber Publishing, 2004.
  76. Shaughnessy A. F., Slawson D. C., Bennett J. H., Becoming an information master: a guidebook to the medical information jungle. J Fam Pract 1994; 39: 489-499.
  77. Staines A., Evidence Based practice Handbook, Department of Public Health Medicine and Epidemiology, University College Dublin.
  78. Straus S. E. i wsp., Evidence-based Medicine: How to Practice and Teach EBM, Churchill Livingstone, Edinburgh 2005.
  79. Straus S. E., Practising evidence-based medicine: tutor's manual, Radcliffe Medical Press, Abingdon 2000.
  80. Sutton J. A. i wsp., Methods for Meta-Analysis in Medical Research, John Wiley & Sons, 2000.
  81. Thompson S. G., Systematic Review: Why sources of heterogeneity in meta-analysis should be investigated, BMJ 1994;309:1351-1355.
  82. Villar J. i wsp., Meta-analyses in systematic reviews of randomized controlled trials in perinatal medicine: comparison of fixed and random effects models, Statistics in Medicine 2001;20:3635-3647
  83. Wang M. C., Bushman B. J., Integrating Results Through Meta Analytic Review Using SAS Software, SAS Institute, 1999.
  84. Whitehead A., Meta-Analysis of Controlled Clinical Trials, John Wiley & Sons, 2002.
  85. Wulf H. R., Racjonalna diagnoza i leczenie. Wprowadzenie do teorii decyzji klinicznej, PZWL, Warszawa 1991.


c) Medyczne bazy danych, wyszukiwanie informacji

  1. Artowicz E., Reprezentacja wiedzy w systemach informacyjno-wyszukiwawczych, Wydaw. SBP, Warszawa 1997.
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  6. Finding studies for systematic reviews: a checklist for researchers, Information Service Centre for Reviews and Dissemination, University of York, dostępny: http://www.york.ac.uk/inst/crd/revs.htm
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  10. Katcher B. S., Medline: A Guide to Effective Searching in PubMed and Other Interfaces, Ashbury Press, 2006.
  11. Kawalec P., Medyczne bazy danych. Cz. 1, Służba Zdrowia nr 75-76 (3172-3173), 2002.
  12. Kawalec P., Medyczne bazy danych. Cz. 2, Służba Zdrowia nr 77-78 (3174-3175) 2002.
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  15. Słownik encyklopedyczny terminologii języków i systemów informacyjno-wyszukiwawczych, Oprac. Bożenna Bojar, Wydaw. SBP, Warszawa 2002.
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  17. Ścibor E., Wybrane zagadnienia teorii języków informacyjnych, Olsztyn 1999.
  18. Wilczynski N. L., McKibbon K. A., Haynes R. B., Enhancing retrieval of best evidence for health care from bibliographic databases: calibration of the hand search literature, Medinfo 2001;10(Pt 1): 390-3.


d) Badania kliniczne, metodologia eksperymentu naukowego

  1. Altman D. G., Randomisation, BMJ 1991a; 302:1481–1482.
  2. Bailar J. C. i wsp., Studies wihout internal controls, N. Engl. J. Med. 1984; 311: 156-162.
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  4. Beveridge W. I., The Art of Scientific Investigation, William Heinemann Ltd., London 1957.
  5. Brzeziński, J., Metodologia badań naukowych i diagnostycznych [w:] J. Strelau (red.), Psychologia: Podręcznik akademicki, Gdańskie Wydawnictwo Psychologiczne, Gdańsk 2000.
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  8. Cakir B, Gebski VJ, Keech AC.Flow of participants in randomised studies.MJA 2003;178:348-349
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  10. Cook DI, Gebski VJ, Keech AC.Subgroup analysis in clinical trials.Med J Aust 2004;180:289-291
  11. Cox D. R., Planning of Experiments, Wiley, New York 1958.
  12. Day S., Blinding or masking, [w:] P. Armitage, T. Colton, red. Encyclopedia of Biostatistics, Vol. 1, Chichester: John Wiley & Sons, 1998.
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  15. Emanuel E. J., Ethical and Regulatory Aspects of Clinical Research: Readings and Commentary, The Johns Hopkins University Press, 2004.
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  18. Fleiss J. L., The Design and Analysis of Clinical Experiments, Wiley, New York 1997.
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  20. Gallin J. I., Principles and Practice of Clinical Research, Academic Press 2002.
  21. Gebski VJ, Beller EM, Keech AC.Randomisation in clinical trials.Med J Aust 2002;177:565-567
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  24. Górecka R., Teoria i technika eksperymentu. Pomoc dydaktyczna, Politechnika Krakowska 1998.
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e) HTA, ekonomika zdrowia, farmakoekonomika

  1. Alasdair M. i wsp., Pharmacoeconomics, Churchill Livingstone, March 2004.
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  37. Vogenberg R., Introduction to Applied Pharmacoeconomics, McGraw-Hill/Appleton & Lange 2000.


f) EBHC i zastosowania HTA/EBM

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  4. Donald A., Greenhalgh T., Evidence Based Health Care Workbook, BMJ Books, 1999.
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  6. Fraser R. C., Lakhani M. K., Baker R. H., Evidence-based audit in general practice: from principles to practice,: Butterworth-Heinemann, Boston, Oxford 1998.
  7. Godlee F., Applying research evidence to individual patients, BMJ 1998;316:1621-162
  8. Greenhalgh, T., Donald, A., Evidence based health care workbook: understanding research, BMJ Publishing Group, London 2000.
  9. Grol R, Grimshaw J.From best evidence to best practice: effective implementation of change in patients' care.Lancet 2003;362:1225-30
  10. Haynes RB, Sackett DL, Gray JA, i wsp.Transferring evidence from research into practice: 2.Getting the evidence straight.ACP J Club 1997;126(1):A14-A16
  11. Haynes RB, Sackett DL, Gray JM, i wsp.Transferring evidence from research into practice: 1.The role of clinical care research evidence in clinical decisions.ACP J Club 1996;125 (3):A14-A16
  12. Haynes RB, Sackett DL, Guyatt GH, i wsp.Transferring evidence from research into practice: 4.Overcoming barriers to application ACP J Club 1997;126(2):A14-A15
  13. Kovner AR, Elton JJ, Billings J.Evidence-based Management. Frontiers of Health Services Management 2000 (Summer); 16 (4): 3-24.
  14. Muir Gray J. A., Evidence-Based Healthcare. How to Make Health Policy and Management Decisions, Churchill Livingstone, 2001.
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  17. Niedźwiedzka B., Ochrona zdrowia oparta na rzetelnych analizach i wynikach badań naukowych [w:] Czupryna A. i wsp., Zdrowie publiczne. Wybrane zagadnienia. Tom I, Uniwersyteckie Wydawnictwo Medyczne „Vesalius”, Kraków 2000.
  18. Ovretveit J, Gustafson D.Using research to inform quality programmes.BMJ 2003;326:759-761
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  20. Roberts R., Making use of information in evidence-based care (Harnessing health information series ; no. 1), Radcliffe Medical Press, Abingdon 1999.
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  22. Stevens A. J. i wsp., Advanced Handbook of Methods in Evidence-Based Healthcare, SAGE Publications 2001.
  23. van Weel C.Translating research into practice--a three-paper series.Lancet 2003;362:1170
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  25. Walshe K, Rundall TG.Evidence-based Management: Theory to Practice in Health Care.The Milbank Quarterly 2000; 79 (3): 429-57.
  26. Wensing M, Elwyn G.Methods for incorporating patients' views in health care.BMJ 2003;326:877-879
  27. Winkens R, Dinant GJ.Evidence base of clinical diagnosis: Rational, cost effective use of investigations in clinical practice BMJ 2002; 324:783-785


g) Decyzje medyczne, modelowanie, badania operacyjne

  1. Ameljańczyk A., Optymalizacja wielokryterialna, Wojskowa Akademia Techniczna, Warszawa 1986.
  2. Andrzejczak K., Elementy analizy decyzyjnej, Poznań 1992.
  3. Beck J. R., Pauker S. G., The Markov process in medical prognosis, Med. Decis. Making, 1983;3(4):419-458.
  4. Berger J. O., Statistical Decision Theory and Bayesian Analysis, Springer-Verlag, New York 1986.
  5. Brandeau M. L., Pierskalla W. P., Handbook of Operations Research and Health Care Methods and Applications, Kluwer Academic, 2004.
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  7. DeGroot M. H., Optimal Statistical Decisions, McGraw-Hill, New York 1970.
  8. Detsky A. S. i wsp., Primer on medical decision analysis, Parts 1-5, Med. Decis. Making, 1997;17(2):123-159, dostępny: http://umg.umdnj.edu/smdm/pdf/17-02-124.pdf oraz http://umg.umdnj.edu/smdm/pdf/17-02-136.pdf .
  9. Filipowicz B., Badania operacyjne. Cz. 1. Wybrane metody obliczeniowe i algorytmy. F. H. U. Poldex, Kraków 1997.
  10. Findeisen W., (red.), Analiza systemowa – podstawy metodologiczne, PWN, Warszawa 1985.
  11. Galas Z., Nykowski I., Żółkiewski Z., Programowanie wielokryterialne, PWE, Warszawa 1987.
  12. Gass S. I., Programowanie liniowe. Metody i zastosowania. PWN, Warszawa 1980.
  13. Gilks W. R., Spiegelhalter D. J., Richardson S. (red.), Markov Chain Monte Carlo in Practice, Boca Raton, FL: Chapman & Hall; 1995.
  14. Gross R., Decisions and Evidence in Medical Practice: Applying Evidence Based Medicine to Clinical Decision Making, Mosby, St Louis 2001.
  15. Gross R., Making Medical Decisions: an Approach to Clinical Decision Making for Practicing Physicians, ACP, Philadelphia, 1999.
  16. Hammond J. S., Keeney R. L., Raiffa H., Smart Choices: A Practical Guide to Making Better Decisions, Harvard Business School Press, Boston, Mass. 1999.
  17. Ignasiak E., Badania operacyjne, PWE 2001.
  18. Iositescu M., Skończone procesy Markowa i ich zastosowania, PWN, Warszawa 1988.
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  21. Kaufmann A., Faure R., Badania operacyjne na co dzień, PWN, Warszawa 1968.
  22. Kofler E., Podejmowanie decyzji przy niepełnej informacji, Real Publishers, Warszawa 1993.
  23. Kofler E., Wstęp do teorii gier. Zarys popularny, Państwowe Zakłady Wydawnictw Szkolnych, Warszawa 1963.
  24. Kozielecki J., Psychologiczna teoria decyzji, PWN, Warszawa 1977.
  25. Krawczyk S., Badania operacyjne dla menedzerów, Wrocław 1996.
  26. Kukuła K. (red.), Badania operacyjne w przykładach i zadaniach, PWN, Warszawa 1996.
  27. Kukułka K., Decyzje menedżerskie w teorii i praktyce zarządzania, Wydawnictwa Naukowe Wydziału Zarządzania Uniwersytetu Warszawskiego, Warszawa 2000.
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  29. Lingren B. W., Elementy teorii decyzji, PWN, Warszawa 1977.
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  34. Miszczyński M., Programowanie liniowe. Elementy teorii i zadania, Absolwent, Łódź 1997.
  35. Mitchell G. H., Operational Research: Techniques and examples, The English Universities Press Ltd., National Coal Board 1972.
  36. Nykowski I., Programowanie liniowe, Wyd. 2 popr. Państ. Wydaw. Ekonomiczne, Warszawa 1984.
  37. Owen G., Teoria gier, PWN, Warszawa 1975.
  38. Parmigiani G., Modeling in Medical Decision Making: A Bayesian Approach, John Wiley & Sons 2002.
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  40. Ramus M., Szczepankowski P., Podejmowanie decyzji w organizacji [w:] Koźmiński A. K., Piotrowski W. (red.), Zarządzanie. Teoria i praktyka, Wydawnictwo Naukowe PWN, Warszawa 2000.
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h) Pomiar zdrowia, metody jakościowe

  1. Bergner M. i wsp., The sickness impact profile: development and final revision of a health status measure, Med Care, 19:787-805, 1981.
  2. Black N., Health Services Research Methods: A Guide to Best Practice, Blackwell BMJ Books, 1998.
  3. Shi L., Health Services Research Methods, Thomson Delmar Learning 1996.
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  7. Britten N.Qualitative interviews in medical research. BMJ 1995;311:251-253
  8. de Vet H. C. W., Terwee C. B., Bouter L. M., Current challenges in clinimetrics, Journal of Clinical Epidemiology 56 (2003) 1137–1141.
  9. Dixon-Woods M., Fitzpatrick R., Qualitative research in systematic reviews, 2001;323;765-766 BMJ, dostępny: http://bmj.com/cgi/content/full/323/7316/765
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  13. Green J., Thorogood N., Qualitative Methods for Health Research, SAGE Publications, 2004
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  16. Hayes R. D., Anderson R., Revicki D. A., Psychometric evaluation and interpretation of health-related quality of life data [w:] The international assessment of health-related quality of life: theory, translation, measurement and analysis, 1995.
  17. Holloway I., Qualitative Research in Health Care, Open University Press, 2005.
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i) Metody bayesowskie

  1. Berry D. A., Decision analysis and Bayesian methods in clinical trials, In: P Thall, ed. Recent Advances in Clinical Trial Design and Analysis, Kluwer Press, New York, 1995, pp. 125–154.
  2. Berry D. A., Stangl D. K., Bayesian Biostatistics, Marcel Dekker, New York 1996.
  3. Berry D. A., Statistics: A Bayesian Perspective, Duxbury Press, Belmont 1996.
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j) Słowniki, bibliografie

  1. Last J. M., A Dictionary of Epidemiology. Fourth edition, Oxford University Press, 2000.
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III. Materiały do historii EBM i HTA

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  52. Isaacs D., Fitzgerald D., Seven alternatives to evidence based medicine, BMJ 1999; 319:1618.
  53. Jenicek M., Clinical case reporting in evidence-based medicine, Butterworth-Heinemann, Oxford 1999.
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  56. Kenny N. P., Does good science make good medicine? Incorporating evidence into practice is complicated by the fact that clinical practice is as much art as science, CMAJ 157 (1) (1997) 33–36.
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