SubjectsSubjects(version: 945)
Course, academic year 2016/2017
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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
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. Epidemiological terminology.

2. Cohort studies, analysis methods, incidence modeling.

3. Case-control studies, analysis, stratification, matching.

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

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

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

 
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