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Last update: RNDr. Alena Fialová, Ph.D. (10.12.2019)
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Last update: RNDr. Alena Fialová, Ph.D. (27.09.2017)
The aim of the subject is to familiarize students with the principles of using mathematical and statistical methods in medicine. It explains principles of statistical induction, basic statistical methods and interpretation of results of statistical analyzes commonly used in medical literature. This knowledge is the basis for a correct understanding of the principles of evidence-based medicine. |
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Last update: Mgr. Tereza Hrnčiarová, M.Sc., Ph.D. (26.09.2022)
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Last update: RNDr. Alena Fialová, Ph.D. (10.12.2019)
ARMITAGE, P., BERRY, G. (1991). Statistical Methods in Medical Research. Blackwell Scientific Publications, Oxford. BEAGLEHOLE, R., BONITA, R., KJELLSTRÖM, T. (1993). Basic Epidemiology. WHO, Geneva. COLTON, T. (1974). Statistics in Medicine. Little, Brown and Co., Boston. DALY, L.E., BOURKE, G.J., McGILVRAY, J. (1992). Interpretation and Uses of Medical Statistics. Blackwell Scientific Publications, Oxford. DANIEL, W.W. (1995). Biostatistics: A Foundation for Analysis in the Health Sciences. Wiley, New York. HENNEKENS, CH. H., BURING, J. (1987). Epidemiology in Medicine. Little, Brown and Co., Boston. JEWELL, N.P. (2004). Statistics for Epidemiology. Chapman & Hall/CRC, Boca Raton. KAHN, H.A., SEMPOS, CH. T. (1989). Statistical Methods in Epidemiology. Oxford University Press, Oxford. KIRKWOOD, B.R. (1992). Essentials of Medical Statistics. Blackwell Scientific Publications, Oxford. ROSNER, B.A. (1995). Fundamentals of Biostatistics. Duxbury Press, Belmont. ROTHMAN, K.J., GREENLAND, S. (1998). Modern Epidemiology, 2nd ed. Lippincott-Raven Publishers, Philadelphia. WASSERTHEIL-SMOLLER, S. (1990). Biostatistics and Epidemiology; a Primer for Health Professionals. Springer Verlag, New York. WOODWARD, M. (2005). Epidemiology: Study Design and Data Analysis. 2nd ed. Chapman & Hall/CRC, Boca Raton. ------------------------------------available as pdf / for online viewing--------------------------------------------- BRESLOW, N.E., DAY, N.E. (1980). Statistical Methods in Cancer Research, vol. 1 – The analysis of case-control studies. IARC, Lyon, https://publications.iarc.fr/Book-And-Report-Series/Iarc-Scientific-Publications/Statistical-Methods-In-Cancer-Research-Volume-I-The-Analysis-Of-Case-Control-Studies-1980 BRESLOW, N.E., DAY, N.E. (1987). Statistical Methods in Cancer Research, vol. 2 – The design and analysis of cohort studies, https://publications.iarc.fr/Book-And-Report-Series/Iarc-Scientific-Publications/Statistical-Methods-In-Cancer-Research-Volume-II-The-Design-And-Analysis-Of-Cohort-Studies-1986 COGGON, D., ROSE, G., BARKER, D.J.P. (1997). Epidemiology for the Uninitiated. BMJ Publishing Group, http://www.bmj.com/about-bmj/resources-readers/publications/epidemiology-uninitiated ESTEVE, J., BENHAMOU, E., RAYMOND, L. (1994). Statistical Methods in Cancer Research, vol. IV – Descriptive Epidemiology, http://publications.iarc.fr/Book-And-Report-Series/Iarc-Scientific-Publications/Statistical-Methods-In-Cancer-Research-Volume-IV-Descriptive-Epidemiology-1994 GREENHALGH, T. How to read a paper. BMJ Publishing Group, http://www.mazums.ac.ir/Dorsapax/Data/Sub_30/File/Read%20papers.pdf McDONALD, J.H. Handbook of biological statistics. Sparky House Publishing, Baltimore, http://www.biostathandbook.com/HandbookBioStatThird.pdf dos SANTOS SILVA, I. (1999). Cancer Epidemiology: Principles and Methods. International Agency for Research on Cancer, Lyon, https://publications.iarc.fr/Non-Series-Publications/Other-Non-Series-Publications/Cancer-Epidemiology-Principles-And-Methods-1999 SWINSCOW, T.D.V. (1997). Statistics at Square One. BMJ Publishing Group, https://www.bmj.com/about-bmj/resources-readers/publications/statistics-square-one |
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Last update: RNDr. Alena Fialová, Ph.D. (03.12.2019)
Seminars, practicals |
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Last update: Mgr. Tereza Hrnčiarová, M.Sc., Ph.D. (31.01.2022)
LECTURES
1. Statistical concepts and terms, statistical inference Statistics in medical sciences Logic of statistical reasoning (observations vs. hypotheses) Important steps in the application of statistics Population - sample, sampling techniques Representativity of the sample Principles of statistical testing Statistical hypothesis and significance level Mathematical tools for planning surveys and experiments, sample size determination One-sided and two-sided hypotheses Types of variables Descriptive statistics (characteristics of location and variability) Probability, distribution Point and interval estimation, standard error Confidence interval One-sample, two-sample, and paired tests Parametrical and non-parametrical tests
2. Statistical methods in medical research Testing hypotheses concerning the location (t-test, Wilcoxon test, analysis of variance) Contingency and 2-by-2 tables, methods for comparison of proportions Chi-square test, Fisher' and McNemar tests, test for trend Association between two variables: correlation, regression Advanced statistical methods in epidemiology (logistic regression, censored data, survival analysis) Evaluation of diagnostic and screening tests (sensitivity and specificity, cut-off point) Basic types of studies used in epidemiology and related statistical models for their evaluation Confounding, bias, precision Interpretation of results of statistical procedures
3. Self-study Vital statistics, rates and ratios Odds ratio, relative risk, attributable risk
PRACTICALS
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Last update: Mgr. Tereza Hrnčiarová, M.Sc., Ph.D. (26.09.2022)
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