Applied Biostatistics
(BMTRY 723)

Instructor : Sharon Yeatts
Email: yeatts@musc.edu
Phone: 792-0178
Office Location: Cannon Place 405G
Office Hours: Dr. Yeatts will be available immediately after lecture to answer questions. She is also available by appointment.

Class Meetings
Tuesdays, Thursdays - 8:30 to 10AM in Cannon Place
Every other Friday - 8:30 to 10:30 in Library

Course Description
This course provides a survey of descriptive and inferential statistics commonly used in biomedical research. This course is intended for graduate students in other Basic Science departments and Colleges, clinical residents/fellows, and medical and dental students who seek a working knowledge of biostatistical methods and their applications. Topics include measures of central tendency and variation, frequency distributions, confidence interval estimation, comparison of means and proportions, sample size calculation, simple linear regression and correlation, overview of multiple regression and regression diagnostics, one and two way analysis of variance, chi-square tests, common nonparametric procedures, and an introduction to basic principles of experimental design (completely random and randomized block experimental designs, factorial and repeated measures experiments). Students are expected to be able to design simple experiments, to identify and carry out an appropriate statistical analysis, and to interpret results through statements of both statistical and clinical conclusions. Students also receive instruction in the use of a statistical software package. Prerequisites: None.

Tentative Course Outline

  1. Organizing and Summarizing Data
  2. Basic Probability Concepts
  3. Normal Distributions
  4. Point Estimation
  5. Sampling Distributions
  6. Methodology
    1. Confidence Intervals
    2. Hypothesis Testing: Single Sample
    3. Hypothesis Testing: Comparing Two Means
    4. Hypothesis Testing: Comparing Two Variances
    5. Hypothesis Testing: Analyzing Frequency Data
    6. Correlation
    7. Regression
    8. Analysis of Variance (single-factor, two-factor)
    9. Methods in Genomics and Proteomics
  7. Introductions: Longitudinal Analysis, Survival Analysis, Dose Response