Statistics Course - January 2008

Nemours Biomedical Research Statistics Course

January 2008

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
Date
Topics
1
01/08/2008 Course Introduction, Basics of statisitics, Getting started on SPSS/MS-Excel
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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