Southern School of Pharmacy
Department of Pharmacy Administration
PHA 500 BIOSTATISTICS & RESEARCH DESIGN
BIOSTATISTICS AND RESEARCH DESIGN 500
|Instructors:||Richard A. Jackson, Ph.D.
Z. Thomas Grapes, Ph.D.
|Time:||Tuesday, Thursday, and Friday at 10:20 a.m.|
|Course Description:||To enable the student to develop an understanding of basic
statistics and research design procedures and terms such that clinical studies in the
medical and pharmaceutical literature may be objectively evaluated.
To provide the student with the necessary tools such that he or she will be able to effectively describe, summarize, analyze and make valid conclusions from data collected through his or her own research endeavors.
|Text:||Course pack with supplemental readings for biostatistics will be available in the bookstore.|
|Examinations:||There will be three major examinations* administered during the
quarter and one final examination. These exams count for 90% of the course grade.
Each of these examinations will count equally. All examinations will be
multiple choice. Calculators will be allowed and all formulas will be provided.
Self-assessment examinations will be administered prior to each examination.
Participation in active learning activities will count for 10% of the grade inthe course.
*September 14, October 12, November 19
B+ = 88-89
B = 80-87
C+ = 78-79
C = 70-77
F = < 70
|Caveat:||It should be emphasized that the material covered in this course is of such a nature that each topic builds upon the topic previously discussed, therefore, it is extremely important that the student keep up on a daily basis and not get behind in the course.|
|Problem Sets:||At the conclusion of most major sections of the course, problems will be assigned by the instructor. These problems will not be turned in and are provided for the student's study purposes. Answers will be posted and made available on reserve in the library.|
|Course Outline:||Examples from the clinical literature for evaluation will be provided for each major topic.|
|Research Design and Methodology||A. Research Design
B. Research Methodology
|A. Introduction and Definition
1. Why Study?
B. Graphic Representation of Data
The Arithmetic Mean
E. Standard Scores and the Normal Curve
F. Probability and Inference
G. Hypothesis Testing
H. Testing Differences in Means (t-tests)
Repeated measures t
I. Analysis of Variance (ANOVA)
J. Chi Square (X2)
L. Linear Regression
Straight Line Equation