IDSP 225 Introductory Biostatistics, 2007-2008

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 intended for graduate students who seek a working knowledge of statistical methods and their applications in biomedical field. 

Credit: 1

 

Contact Information:

Runhua Shi, MD, PhD

Phone 813-1434,

rshi@lsuhsc.edu,

Office:  B-444 (Cancer Center)

 

Date

Lecture Topic

Presenter

Files

 

01/08

 

Chapter 2. Descriptive Statistics
Measures of Location

Measures of Spread
Data Presentation

Using Computer to Obtain Descriptive Statistics
Home Work

Runhua Shi

PPT

01/10

 

Chapter 3. Concepts of Basic Probability
Definition of Probability
Conditional Probability

Screening Tests-Bayes’ Rule

Prevalence and Incidence
Home work

Runhua Shi

 

01/15

 

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

PPT

01/17

 

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

PPT

01/22

 

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

Central-Limit Theorem
Interval Estimation-T distribution

Home work

Runhua Shi

 

01/24

 

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

PPT

01/29

 

Chapter 8. Hypothesis Testing
Two Sample Inference
Paired t-test, Two-Sample t-test
Using computer to perform these tests

Home work

Runhua Shi

 

01/31

 

Review –questions and answers

Midterm take home exam

Chapter 2 to Chapter 8

Runhua Shi

 

02/05

 

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

PPT

02/07

 

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

PPT

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

 

02/14

 

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

 

02/19

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

 

02/21

 

Mardi Gras-No Class

 

 

02/26 

Chapter 00. Design and Analysis Techniques for

Experiments

Categorical and continuous outcome

Clinical trial design-sample size and power

Kaplan-Meier estimates of survival

Log rank test. Survival data analysis

Using computer to run survival analysis

Home work

Runhua Shi

 

02/28

Review –questions and answers

Final take home exam

Chapter 9 to 13 and chapter 00

Runhua Shi