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DCS 5391:
Mathematical Biostatistics
for the Clinical Investigator

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This course provides an overview of basic statistical methods applied to the medical and health sciences. Topics include descriptive measures, one and two sample (independent and paired) confidence intervals and tests of hypothesis, one way analysis of variance followed by pairwise multiple comparison tests. Regression and correlation, Chi-square methods, relative risk and odds ratios are also covered. Techniques for selecting appropriate sample sizes and power are discussed. The use of a computer is encouraged as a means of performing many of the statistical analyses.  Course objectives are:

  1. allow the student to do basic statistical analyses appropriate for the research design
  2. familiarize the student with statistical philosophy and techniques to facilitate effective collaboration with a statistician
  3. acquaint the student with statistical concepts and the analysis and graphical techniques utilized in medical and scientific publications.

Prerequisites:  None

Credit:  3 hours; one of the two courses that meet the 3 hour requirement for a beginning biostatistics course (see also DCS 5309: Conceptual Biostatistics for the Clinical Investigator.)   Beginning biostatistics courses are taken concurrently with DCS 5101: Biostatistics Lab I.

Grading Criteria: Pass/Fail based on the following: three examinations--75%, weekly homework assignments--20%, publication review--5%, and attendance

Course Director: Joan S. Reisch, PhD, Professor, Dept. of Clinical Sciences, Division of Biostatistics
phone: 214-648-2028, fax: 214-648-7673

Course Administrator: Mack Dressler, Assistant Administrator  for Education and Degree Programs, Dept. of Clinical Sciences (E5.506), phone: 214 648-2558, fax: 214 648-3934