Statistical Methods in the Analysis of Clinical Studies

Garant předmětu:

Aleš Tichopád

Lecturer:

Marian Rybář, Aleš Tichopád

Tutor:

Eliška Friebová, Martina Homolková

Supervisor:

Department of Biomedical Technology

Synopsis:

The course focuses on methods of statistical analysis designed primarily for medical research and clinical evaluation of medical devices. Students will be introduced to clinical research methodology, clinical study design and then to commonly used methods of processing and testing clinical data.

Requirements:

Requirements for the assessment:

1. Required attendance in seminars (max. 2 absences).

2. The student is required to be prepared for seminars in advance, deliver obligatory homework, and successfully pass the entrance test in the beginning of each seminar, student can be excluded from the particular seminar and considered absent, if he fails in these duties.

3. Student is required to pass the seminar test at the level of at least 50%

Requirements for the exam:

1. Passing the assessment.

The exam is oral, where the student draws on questions covering the topics of lectures. In order for a student to be admitted to the oral exam, they must have the requirements of assessment and write the exam test consisting of numerous examples for min. 50%

Syllabus of lectures:

Statistics, biostatistics, statistical calculations in the R programming language. Data processing. Graphical analysis. Introduction to probability. Random variable distribution. Random samples. Principles of statistic thinking. Estimation and hypothesis testing. Parametrical and non-parametrical test in normal distribution. T-tests. Binomial distribution and tests. Analysis of variance. Contingency tables. Correlation and regression.

Syllabus of tutorials:

Statistics, biostatistics, statistical calculations in the R programming language. Data processing. Graphical analysis. Introduction to probability. Random variable distribution. Random samples. Principles of statistic thinking. Estimation and hypothesis testing. Parametrical and non-parametrical test in normal distribution. T-tests. Binomial distribution and tests. Analysis of variance. Contingency tables. Correlation and regression.

Study Objective:

The aim of the study is to familiarize the student with the basic methods used in research design, its implementation, data processing, evaluation and interpretation.

Study materials:

Required:

CHATFIELD, Christopher. Statistics for technology: a course in applied statistics. 3rd ed. (rev.). Boca Raton, Fla.: Chapman & Hall/CRC, 1998. ISBN 978-0-412-25340-9

Recommended:

SOCR. The Probability and Statistics EBook. Los Angeles: Statistics Online Computational Resource. 2014. (Volně dostupné na: http://wiki.stat.ucla.edu/socr/index.php/EBook)

Note:

Time-table for winter semester 2024/2025:

	06:00–08:0008:00–10:0010:00–12:0012:00–14:0014:00–16:0016:00–18:0018:00–20:0020:00–22:0022:00–24:00
Mon	roomKL:B-330 Tichopád A. Kamenský V. 08:00–09:50 (lecture parallel1) Kladno FBMI UčebnaroomKL:B-331 Homolková M. Holá M. 10:00–11:50 (lecture parallel1 parallel nr.1) Kladno FBMI Lab. robotiky a asis. tech.
Tue
Wed
Thu
Fri

Time-table for summer semester 2024/2025:

Time-table is not available yet

The course is a part of the following study plans:

• Systematic Integration of Processes in Healthcare - full-time (compulsory course)