Subjects

Your browser does not support JavaScript, or its support is disabled. Some features may not be available.

Design and Analysis of Medical Studies - NMST532

Title:	Plánování a analýza lékařských studií
Guaranteed by:	Department of Probability and Mathematical Statistics (32-KPMS)
Faculty:	Faculty of Mathematics and Physics
Actual:	from 2014 to 2019
Semester:	summer
E-Credits:	5
Hours per week, examination:	summer s.:2/2, C+Ex [HT]
Capacity:	unlimited
Min. number of students:	unlimited
4EU+:	no
Virtual mobility / capacity:	no
State of the course:	taught
Language:	English, Czech
Teaching methods:	full-time
Teaching methods:	full-time
Additional information:	http://www.karlin.mff.cuni.cz/~kulich/vyuka/medexp/index.html

Guarantor:	doc. Mgr. Michal Kulich, Ph.D.
Class:	M Mgr. PMSE M Mgr. PMSE > Povinně volitelné
Classification:	Mathematics > Probability and Statistics
Pre-requisite :	NMST432, NMST531

Opinion survey results Examination dates Schedule Noticeboard

Annotation -

Last update: G_M (28.05.2013)

The course focuses on statistical metods in medicine and epidemiology as well as on practical aspects of applying statistics in biomedical environment.

Aim of the course -

Last update: T_KPMS (11.05.2015)

To explain methods for analysis of medical experiments.

Literature - Czech

Last update: doc. Mgr. Michal Kulich, Ph.D. (19.02.2015)

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.

Teaching methods -

Last update: T_KPMS (12.05.2014)

Lecture+exercises.

Syllabus -

Last update: doc. Mgr. Michal Kulich, Ph.D. (04.02.2018)

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.

Entry requirements

Last update: doc. Mgr. Michal Kulich, Ph.D. (25.05.2018)

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).