IDSP 225 Introductory Biostatistics, 2008-2009

Location:                Room C-1-419 (Library)

Time:                      Tuesday and Thursday @10:00AM -11:00AM

Textbook:               Fundamentals of Biostatistics, Bernard Rosner, 6th Edition

Computer software: Excel, SAS

Description of course: This course is designed for graduate students who seek a working knowledge of statistical methods and their applications in biomedical field. 

Credit: 1

Course Director:

Runhua Shi, MD, PhD

Phone 813-1434,

rshi@lsuhsc.edu,

Office:  B-444 (Feist-Weiller Cancer Center)

Date	Lecture Topic	Presenter
01/06	Chapter 2. Descriptive Statistics Measures of Location Measures of Spread Data Presentation Using Computer to Obtain Descriptive Statistics Home Work	Runhua Shi
01/08	Chapter 3. Concepts of Basic Probability Definition of Probability Screening Tests-Bayes’ Rule Prevalence and Incidence Home work	Runhua Shi
01/13	Chapter 4. Discrete Probability Distribution Definition of Random Variables Mass function for a discrete random variable The expected value of a discrete random variable The variance of a discrete random variable Binomial Distribution Poisson Distribution Home work	Runhua Shi
01/15	Chapter 5. Continuous Probability Distributions Normal Distribution Standard Normal Distribution Conversion from normal to standard normal distribution Student’s t-Distribution (p187-p191) Properties of the Normal Distribution Home work	Runhua Shi
01/20	Chapter 6. Estimation Sample vs Population; Statistic vs Parameter Random Sample Selection-Computer Estimation of the Mean of Distribution Point Estimation, SE of The Mean Interval Estimation-T distribution Home work	Runhua Shi
01/22	Chapter 7. Hypothesis Testing Common Steps in Hypothesis Testing Type I, Type II errors, P-Value, Power of the test One Sample Inference Using computer to perform these tests Home work	Runhua Shi
01/27	Chapter 8. Hypothesis Testing Two Sample Inference Paired t-test, Two-Sample t-test Using computer to perform these tests Home work	Runhua Shi
01/29	Review –questions and answers	Runhua Shi
02/03	Chapter 00. Design and Analysis for Experiment studies	Weiming Duan
02/05	Midterm take home exam Chapter 2 to Chapter 8
02/10	Chapter 9. Nonparametric Methods The Sign Test The Wilcoxon Signed-Rank Test, The Wilcoxon Rank-Sum Test Using computer to perform these tests Home work	Jerry McLarty
02/12	Chapter 11. Regression Analysis Fitting Regression Lines Inferences about Parameters from Regression Lines Introduction to Multiple Regression Logistic Regression Using computer to run regression Home work	Jerry McLarty
02/17	Chapter 10. Hypothesis Testing-Categorical Data Two samples test for Binomial proportion      Independent sample, Dependent sample RXC Contingency Tables, Tests for Association Using computer to perform these tests Home work	Runhua Shi
02/19	Chapter 11. Correlation Methods Pearson Correlation Coefficient Spearman Rank Correlation Coefficient Using computer to calculate the CC Chapter 12. Multiple sample inference One-Way Anova, Two-Way Anova Kruskal-Wallis Test Using computer to perform these tests Home work	Runhua Shi
02/24	Chapter 13. Design and Analysis Techniques for Epidemiologic Studies	Runhua Shi
02/26	Chapter 13. Design and Analysis Techniques for Epidemiologic Studies Prospective Study, Retrospective Study Measures of Effect for Categorical Data, Relative Risk/ Odds Ratio The Mantel Haenszel Test Using computer to do these Home work	Runhua Shi
03/03	Review –questions and answers Final take home exam Chapter 9 to 13 and chapter 00	Runhua Shi
03/05	Final is due	Runhua Shi