Biostatistics I : W. Christopher Mathews, M.D., M.S.P.H.; Simon Frost, Ph.D.
Objectives : Scholars will understand principles of measurement of clinical data, recognize data types, and correctly identify statistical methods appropriate for analysis of a given clinical data set. They will gain experience in assembling a clinical dataset in formats suitable for analysis by NCSS or other comparable statistical packages. They will learn skills to conduct graphical and numerical exploratory data analysis, comparative tests of categorical, ordinal, and continuous data, elementary probability theory, hypothesis testing and interval estimation, sample size calculation and power analysis.
Course Content:
Topic |
Content |
Introduction |
Demonstration of NCSS/PASS |
Data presentation |
Graphical and tabular methods |
Probability |
Elementary probability theory |
Sampling Distributions |
Applications to statistical inference |
Statistical Inference |
Hypothesis testing and interval estimation; Type I and II errors, one and 2-sided tests |
Inference regarding one or two means |
Independent and matched t-tests |
Non-parametric methods |
Independent and matched data |
Inference regarding Proportions |
Contingency table analysis; binomial approximation to z-distribution; exact tests |
Diagnostic test evaluation
|
Sensitivity, specificity, predictive values, likelihood ratios, ROC curves |
|
|
