Understand the theoretical basis of biostatistics including types of data, data collection methods, data organization and graphic representation, use of probability distributions, basic understanding of probability theory, generation of statistical hypothesis, the nature of statistical error, underlying test assumptions, and the general principles of inferential links between populations and samples.
Execute the calculations or statistical tests covered during the semester on primary and/or secondary data.
Findings and Conclusions
Interpret the findings and draw appropriate conclusions for each statistical method and test covered during the semester.
Select an appropriate test (e.g., student t-test, chi-square) for a given data type and analysis problem from the materials covered during the semester.
Apply the tools acquired in this class to common situations (e.g., analysis of variance, logistic regression, linear regression, and survival analysis).
Apply SAS software for assessing biostatistical problems.