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Statistical Analysis in Healthcare
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2
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3
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Public health and health,
Medical statistics
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Purpose: Introduction. History of biostatistics . Biometric research and the modern concept of evidence-based Biomedicine. Planning of scientific research. Data type. Statistical hypothesis testing. The choice of statistical criteria for analysis of Variance. Correlation analysis.Epidemiological analysis.Survival analysis.
Contents: Introduction. History of biostatistics . Biometric research and the modern concept of evidence-based Biomedicine. Planning of scientific research. Data type. Statistical hypothesis testing. The choice of statistical criteria for analysis of Variance. Correlation analysis.Epidemiological analysis.Survival analysis.
Expected result:
At the end of the course, students are formed:
Know:
types of data and how they are presented;
on change scales;
on the criteria of compliance and consent; on the types Systematic errors and their evaluation in studies;
properties of the law of normal distribution signs';
on the analysis of variance;
correlation dependence;
on the criteria for testing hypotheses;
about student t-criteria;
on the main criteria of epidemiological analysis, epidemiological indicators;
about stages of medical and biological experiment, planning;
survival analysis;
Able to:
apply statistical methods of processing data's;
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