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Nemours Biomedical Research Statistics Course
Overview
This course is designed with a view to giving better ideas to the participants about
data analysis and use of statistical methods in clinical research. Topics covered
include descriptive statistics, test of hypothesis, correlation, regression analysis,
analysis of variance, analysis of covariance, repeated measures, logistic regression,
parametric and nonparametric tests and designing clinical studies. SPSS/MS-Excel
will be used for the purpose of data analysis. Participants will be expected to gain
experience in designing clinical studies, data analysis, presentation, and interpretation
of statistical analysis.
Course Director
- Stephen Lawless, M.D., M.B.A.
Instructors
- Jobayer Hossain, Ph.D. - Biostatistician
- Tim Bunnell, Ph.D. - Psychologist
Assignments
- 3 Take-home assignments
- 1 Take-home final exam/assignment
- Assigned in class 8
- Return for final comments
Data sets
R package installers - Select one for your system, download and install
Schedule - Click on the class 'Date' for PowerPoint notes
Week
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Date
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Topics
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| 1 |
01/08/2008
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Course Introduction, Basics of statisitics, Getting started on SPSS/MS-Excel
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| 2 |
01/15/2008 |
Descriptive statistics and data visualization:
Mean, median, coefficient of variation, variance, standard deviation, range,
quartiles, percentiles, statistical graphs, etc |
| 3 |
01/22/2008 |
Inferences, test of hypothesis, type I and type II error, level of significance,
power, confidence interval, p-value, etc |
| 4 |
01/29/2008 |
Common parametric and non-parametric tests
Normal test, t-test, Chi-square test, F-test, sign test, signed rank test,
rank test, Mann-Whitney U-test. Excel example. |
| 5 |
02/05/2008 |
Correlation and Regression analysis, variable selection |
| 6 |
02/12/2008 |
Analysis of Variance and Covariance, Parallel and Cross Over design |
| 7 |
02/19/2008 |
Odds Ratio, Logistic Regression, Repeated Measures |
| 8 |
02/26/2008 |
Study Design, Objective, Variables, Analysis population sets in a clinical trial experiment. Special topic: Suzanne McCahan on microarray experiments. |
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