contents.txt : This file
README : General information
plan.txt : Course plan
bios263_06.pdf : Syllabus
errata.pdf, errata.ps : Errors in M&N 
notes.pdf : General notes and comments

reading_assignments.txt : What to read (check frequently)

*.sas : SAS programs
*.r   : R programs
*.glm : GLIM programs
*.lst : output files, SAS log and listing, etc
*.lis : edited output files
*.dat : data files
*.doc : documentation files (these are not MS WORD files)
hwk*  : homeworks  

irls*   : IRLS examples
uspop.* : US population data
pr0311* : problem 3.11

nm004.sas : Logistic regression example, fitting, hypothesis testing
nm1991.dat : New Mexico brain cancer data for 1991

cc* : case-control study, logistic regression with offsets

crowder.dat  : Crowder's data
crowder4.r   : graphical methods for extra-binomial variation
crowder5.sas : graphical methods for extra-binomial variation
crowder6.sas : model fitting for extra-binomial variation

exist* : Existence of the MLE

pr0304e* : M&N problem 3.4

pr0425* : M&N problem 4.25

tbl0405* : M&N Table 4.5, Lizards data

tbl0501* : Table 5.1, Cheese tasting 

vs.dat : variable selection problem

2x2* : loglinear models for 2x2 tables

eye* : models for structure in square tables (S, QS, MH, I, QI)

ll* : expressing logistic regression as a loglinear model

tbl0606* : Table 6.6, the coalminers data

tbl0602* : Table 6.2, the ship damage data

aids* : Transfusion-related AIDS, a triangular table 

gail* : Direct (internal) and indirect (external) standardization

em* : The EM algorithm

cl04.sas : Conditional likelihood for a single 2x2 table

tbl0702b.sas : Conditional likelihood for several 2x2 tables
tbl0702c.sas : Unconditional likelihood for several 2x2 tables

mh.sas : The Mantel-Haenszel estimator for K 2x2 tables

pr0614* : problem 6.14

tbl0902* : quasi-likelihood, leaf-blotch data

bin_ci.sas : computes exact confidence intervals for binomial proportions

ee3a.pdf : Overview of Estimating Equations

ld05a.pdf : Overview of Regression Models for Longitudinal and Correlated Responses

tbl0606e.sas : Marginal model for the Coalminers dataset, GEE

blr.sas : Marginal model for the Coalminers dataset, maximum-likelihood

6citya.* : 6-City Study, marginal model, GEE

6cityj.* : 6-City Study, random-effects (mixed) model, maximum-likelihood

ghq.pdf : Adaptive Gauss-Hermite Quadrature

ss01.sas : Sample size calculation for logistic regression

ss02.sas : Sample size calculation for logistic regression with GEE