Biostatistics in health encompass statistical methods and principles necessary for understanding and interpreting data used in health-related studies, policy evaluation, and the development of policies. This course will cover descriptive statistics, graphical data summary, sampling, statistical comparison of groups, correlation, linear regression, and one-way ANOVA. Students will learn via critical reading of published research and computer analysis of data.
Topics covered in this course include:
Define and utilize the major measures of disease association, i.e., relative risk, odds ratio, attributable risk and population attributable risk;
Describe when to use descriptive statistics confidence limits, and categorical data;
Describe when to use inferential statistics;
Explain the analysis of variance;
Describe when to use t-tests.
Required Course Pack:
Required Textbooks:
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Total Course Price:
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