Seznámit studenty s metodami používanými při analýze lékařských experimentů.

To explain methods for analysis of medical experiments.

The exercise class credit is necessary to sign up for the exam. The credit for the exercise class will be awarded to the student who hands in a satisfactory solution to each assignment by the prescribed deadline. The nature of these requirements precludes any possibility of additional attempts to obtain the exercise class credit.

BRESLOW, N.E., DAY, N.E. Statistical Methods in Cancer Research, Vol. I: The analysis of case-control studies. International Agency for Research on Cancer: Lyon, 1980.

BRESLOW, N.E., DAY, N.E. Statistical Methods in Cancer Research, Vol. II: The design and analysis of cohort studies. International Agency for Research on Cancer: Lyon, 1987.

ESTEVE, J., BENHAMOU, E., RAYMOND, L. Statistical Methods in Cancer Research, Vol. IV: Descriptive Epidemiology. International Agency for Research on Cancer: Lyon, 1994.

FRIEDMAN, L.M., FURBERG, C.D., DEMETS, D.L. Fundamentals of Clinical Trials. 4th Ed., Springer: New York, 2010.

Přednáška + cvičení.

Lecture+exercises.

Only for summer 2020: if conduct of an oral exam is impossible, exam can be performed by distant methods.

The exam is oral. Requirements for the oral exam comprise the entire contents of the lectures and exercise sessions.

1. Deskriptivní epidemiologie.

2. Studie případů a kontrol. Klasické metody jejich analýzy. Problém matení.

3. Stratifikované studie případů a kontrol. Mantelův-Haenszelův test a odhad. Logistická regrese pro stratifikované studie.

4. Párované studie případů a kontrol. Klasické metody, McNemarův test. Podmíněná logistická regrese pro párované studie.

5. Kohortové studie a jejich analýza, modelování incidence. Coxův model, Poissonův loglineární model, diskrétní Coxova regrese.

6. Klinické zkoušky, zásady jejich analýzy, skupinově sekvenční monitorování.

7. Navrhování klinických zkoušek, výpočet rozsahu výběru, metody randomizace.

8. Etické, právní a administrativní aspekty lékařských experimentů.

1. Descriptive epidemiology.

2. Case-control studies. Classical analysis methods. Confounding.

3. Stratified case-control studies. Mantel-Haenszel test and estimator. Logistic regression for stratified studies.

4. Paired case-control studies. Classical analysis methods, McNemar test. Conditional logistic regression for paired studies.

5. Cohort studies and their analysis, incidence modeling. Cox model, Poisson loglinear model, discrete Cox regression.

6. Clinical trials, principles of their design and analysis, group sequential monitoring.

7. Design of medical studies, sample size calculation, randomization methods.

8. Ethical, legal and administrative aspects of medical experiments.

This course assumes advanced knowledge of theoretical foundations and practical applications of linear regression, logistic regression, loglinear models, survival analysis (Nelson-Aalen estimator, Kaplan-Meier estimator, Cox model).