Biostatistical Methods II:  Regression Analysis (Biometry 701)

Spring 2009

 

Description:  This is a one-semester course intended for graduate students pursuing degrees in biostatistics and related fields such as epidemiology and bioinformatics.  Topics covered will include linear, logistic, poisson, and Cox regression.  Estimation, interpretation, and diagnostic approaches will be discussed.  Software instruction will be provided in class in R and Stata.  Students will be evaluated via homeworks (55%), two in-class exams (35%) and class participation (10%).  This is a four credit course.

 

Textbook:  Applied Linear Statistical Models.  Kutner, Nachtsheim, Neter and Li.  McGraw-Hill, Fifth Edition

 

Prerequisites:  Biometry 700

 

Course Objectives:  Upon successful completion of the course, the student will be able to

    1.  Apply, interpret and diagnose linear regression models

    2.  Apply, interpret and diagnose logistic, poisson and Cox regresssion models 

 

Instructor:

Elizabeth Garrett-Mayer

Website:

http://people.musc.edu/~elg26/teaching/methods2.2009/methods2.2009.htm

Contact Info:

 Hollings Cancer Center, Rm 118G

 

garrettm@musc.edu (preferred mode of contact is email)

 

792-7764

Time:

Mondays and Wednesdays, 1:30-3:30

Location:

Cannon 301, Room 305V

 

Lectures:

Date

Topic

PDF

Computing

Reading Assignment

W Jan 7

Introduction to regression; simple linear regression (SLR)

lect1.ppt

R code

Ch 1

M Jan 12

no class! Instructor at workshop in MD

 

 

 

W Jan 14

Linear model properties; software tutorial

lect2.ppt

 

R-intro.pdf (supplemental)

M Jan 19

no class!  MLK Jr. Day

 

 

 

W Jan 21

Linear model properties; software tutorial

(see Jan 14)

 

Ch 2

M Jan 26

Inferences and assumption checking in SLR

lect3.ppt

R code

Ch 6

W Jan 28

SLR Diagnostics

lect4.ppt

R code

 

M Feb 2

Diagnostics (continued);Correlation; Intro to Multiple Linear Regression

lect5.ppt

R code

Ch 5

W Feb 4

Hypothesis testing in LR

lect6.ppt

R code

Ch 2, Ch 6

M Feb 9

MLR

 

 

Ch 2, Ch 6

W Feb 11

Forms for predictors

lect7.ppt

R code

Ch 8

M Feb 16

interactions

lect8.ppt

R code

Ch 7

W Feb 18

F-tests and ANOVA

lect9.ppt

R code

 

M Feb 23

F-tests and Coefficients of Determination

lect10.ppt

R code

Ch 7

W Feb 25

Multicollinearity

lect11.ppt

R code

Ch 7

M Mar 2

MLR Model Building

lect12.ppt

R code

Ch 9

W Mar 4

MLR:  final comments

lect13.ppt

R code

Ch 10

M Mar 9

NO CLASSES:  SPRING BREAK!

 

 

 

W Mar 11

NO CLASSES:  SPRING BREAK!

 

 

 

M Mar 16

no class! Instructor at meeting in TX

 

 

 

W Mar 18

MLR final comments

(see W Mar 4)

 

 

M Mar 23

Introduction to logistic regression

lect14.ppt

R code

Ch 14

W Mar 25

Inference and link functions

lect15.ppt

R code

 

M Mar 30

Likelihood ratio tests and deviance

 

 

 

W Apr 1

Goodness of fit, Information criteria,

lect16.ppt

R code, Stata do

 

M Apr 6

ROC Analysis

(see lect16)

 

 

W Apr 8

Logistic regression for case control studies

lect17.ppt

 

 

M Apr 13

Catch up day

 

 

 

W Apr 15

Logistic regression for matched case control studies

class canceled 

enjoy doing your taxes!

 

M Apr 20

Introduction to survival data

lect18.ppt

 

http://jslhr.asha.org/cgi/reprint/42/2/432

http://www.walkerbioscience.com/pdfs/Survival%20analysis.pdf

W Apr 22

Survival analysis

lect19.ppt

 

 

M Apr 27

Cox regression

lect20.ppt

R code

 

W Apr 29

Exam 2

 

 

 

 

Datasets:

    Ischemic Heart Disease:  IschemicHeartDisease.csv

    Prostate Cancer Dataset:  Prostate.csv (codebook:  prostate.txt)

    ICU dataset:  icu.csv (codebook:  icu.txt)

    Kidney Dialysis:  kidneydialysis.csv

 

Homeworks:

    Homework 1.pdf       Due Mon    01/26/09

    Homework2.doc       Due Wed    02/04/09

    homework3.doc        Due Wed    02/18/09

    homework4.doc        Due Fri       03/06/09

    homework5.doc        Due Wed    04/08/09

    homework6.doc        Due Mon    04/20/09

    homework7.doc        Due Wed    04/29/09

 

EXAMS:

exam1.doc     Due Mon 03/09/09

 

Articles:

gillison.pdf:  Case control study of HPV16 and Oropharyngeal Cancer

hanley&mcneill.pdf:  Comparing AUCs for ROC curves based on the same data

chaves.pdf:  Nomograms for mobility disability

 

Computing: 

    R website:  http://cran.r-project.org/

    R tutorial:  R-intro.pdf

    Stata website:  http://www.stata.com/