Intersession  December, 2002

 

 

Biostatistics and Computer Applications

 

Dafeng Hui

 

Department of Botany and Microbiology

 

 

Course description

This course introduces statistical methods commonly used by biologists from the viewpoint of application. Methods include t-test, analysis of variance (ANOVA), correlation and regression analysis. The course will focus on the basic understanding of the statistical concepts, use of computer software (Statistical Analysis System, SAS) to do the analysis, and the interpretation of statistical results.

 

Syllabus

12/23/02          Introduction, basic concepts and descriptive statistics 

Population and samples

Parameter and statistic

Frequency distributions, graphics

location

dispersion

model

SAS program

Assignment 1

12/26/02          Probability and distributions

                                    Events and Probability

Binomial distribution

Poisson distribution

Normal distribution

SAS program

12/27/02          SAS programming

                                    DATA step

                                    PROC step

                                    SAS program

12/30/02          Statistic distributions

Sampling distribution of mean

Sampling distribution of difference between two means

t-distribution

chi-square distribution

F distribution

SAS program

Assignment 2

12/31/02          Parameter Estimation and hypothesis test 

                                    Introduction to hypothesis test

                                    One sample

Two samples independent

Paired t-test

SAS program

1/2/03                          Confidence intervals

Sample size

Comparisons of variances

SAS program

Assignment 3

1/3/03              Analysis of Variance

                                    One-way ANOVA

Multiple comparisons

Two way analyses of variance

SAS program

1/6/03                          Nested (hierarchical )data ANOVA

Experiment design and ANOVA

            Randomized block design

            Latin square design

            Split plot design

            SAS program  

            Assignment 4   

1/7/03              Regression and correlation

                                    Correlation relationship 

                                    Linear regression equation

                                    Significant test

                                    Confidence interval and prediction interval

                                    SAS program

1/8/03                          Correlation analysis

Nonlinear regression

Multiple regression analysis

SAS program

Assignment 5

1/9/03              SAS features (Special topic)

                                    Introduction to multivariate analysis using SAS

                                    SAS Menu-driven data analysis

                                    SAS Program

1/10/03            Exam

                        Class pictures

 

 

Method of evaluation

Grading is based on:

 

            5 Assignments 10*5=50

            1 Exam                     25

           

            67-75               A        

58-66               B

50-57               C

45-49               D

<45                  F

 

Textbook: Glover, T. and K. Mitchell.  2002.  An introduction to biostatistics.  McGraw-Hill, NY

                  Ronald P. Cody and Jeffery K. Smith. 1997. Applied Statistics and the SAS Programming Language. 4^th Edition.  

 

Lab: This course requires using of computer and SAS software. Each meeting time is 2.5 hours including lecture and computer lab. Computer lab will be followed by the lecture.

 

 

Instructor: Dafeng Hui, Post-Doc Research Associate

 

Dr. Hui was trained as a global change biologist and ecosystem modeler. He got a Ph D degree in botany at OU and a MS in Agronomy in Yangzhou University, China, with a minor in biostatistics and quantitative genetics. He has taught Biostatistics and Experimental Design (1992-1996), and Computer Applications (1994-1997) for undergraduates, and Statistical Analysis System (SAS) and its application in Biology (1996), and Quantitative Genetics (1995) for graduates. He has developed statistical analysis software, published papers and a book of “Practical SAS Usage”.

 

 

Want to know more about this course? Contact Dafeng Hui or any of the following graduate students who has enrolled in this class (Chintan, Xiaoping, Michael, Nydia, and Aditya) or click Here to see the course evaluation.

 

Note: Lecture slides, homework assignments and SAS program handouts are for class use only. Some of the slides are borrowed from online publications by professors from Johns Hopkins University, University of Washington, UCLA, University of Waterloo, University of Central Florida,  George Mason University, Stanford University, Dalhousie University, Clark University, and many, many other sources. Thanks to them for their generously posting their lectures to benefit both students and other lecturers.