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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: RNDr. Alena Fialová, Ph.D. (09.11.2022)
Participation in practicals and test. Participation - the student will attend at least four of the five practical exercises. The multiple-choice test will include theoretical questions and practical interpretation of the results of statistical calculations. More than 60 % of the correct answers are required. |
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Last update: RNDr. Alena Fialová, Ph.D. (10.12.2019)
KIRKWOOD, B.R. (1992). Essentials of Medical Statistics. Blackwell Scientific Publications, Oxford. ROSNER, B.A. (1995). Fundamentals of Biostatistics. Duxbury Press, Belmont. dos SANTOS SILVA, I. (1999). Cancer Epidemiology: Principles and Methods. International Agency for Research on Cancer, Lyon |
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Last update: RNDr. Alena Fialová, Ph.D. (03.12.2019)
Lectures, practicals |
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Last update: RNDr. Alena Fialová, Ph.D. (03.12.2019)
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 Types of variables Descriptive statistics (characteristics of location and variability) Probability, distribution Population - sample, sampling techniques Representativity of the sample Point and interval estimation, standard error Confidence interval Principles of statistical testing Statistical hypothesis and significance level One-sided and two-sided hypotheses One-sample, two-sample, and paired tests Parametric and nonparametric tests Testing hypotheses concerning the location (t-test, Wilcoxon test, analysis of variance) Interpretation of results of statistical procedures
2. Statistical methods in medical research Contingency and 2-by-2 tables, methods for comparison of proportions Chi-square test, Fisher’s and McNemar’s tests Basic types of studies used in epidemiology and related statistical models for their evaluation Vital statistics, rates and ratios Odds ratio, relative risk, attributable risk Confounding, bias, precision Association between two variables: correlation, regression Advanced statistical methods in epidemiology (logistic regression, censored data, survival analysis) Mathematical tools for planning surveys and experiments, sample size determination
PRACTICALS
1. Statistical concepts: types of variables, probability distribution (binomial, Poisson, normal), population and sample, sampling methods, characteristics of location and variability, standard error, histogram, point and interval estimation, confidence interval 2. Statistical inference: testing statistical hypotheses, p-value, significance level Statistical tests for continuous variables: parametric and nonparametric tests, t-test and Wilcoxon test (one-sample, two-sample, paired), analysis of variance (ANOVA), F-test 3. Statistical tests for categorical variables: contingency table, chi-square test, McNemar’s test Statistical methods in epidemiology: epidemiological measures of risk and corresponding confidence intervals, confounding, interpretation, evaluation of data from surveillance and registries 4. Statistical association: correlation, linear regression, logistic regression Survival analysis: clinical trials, Kaplan-Meier curve, log-rank test Planning surveys: power of statistical test, sample size determination, type I and type II errors Practical use of statistics: statistics in published medical papers Credit test |
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Last update: RNDr. Alena Fialová, Ph.D. (09.11.2022)
Participation in practicals and test. Participation - the student will attend at least four of the five practical exercises. The multiple-choice test will include theoretical questions and practical interpretation of the results of statistical calculations. More than 60 % of the correct answers are required. |