BioStat 571 Handouts
Tentative Outline of Lectures
Summary of Lecture -- 2010
Link to handouts -- 2007
- Week 1 : Examples from lecture
- Week 2 : Examples from lecture
- Week 3 : Examples from lecture
- 20 Jan 2010 Notes: OverdispQL.pdf --- Overdispersion and Quasilikelihood
- rat_teratology.data --- Example data
- rats.q --- Example of analysis that accounts for overdispersion R/S+ code
- rats.out --- Example output
- seizure3.q --- Example of analysis that accounts for overdispersion R/S+ code
- seizure3.out --- Example output
- negbin.q --- Negative Binomial Regression function from MASS library
- Week 4 : Examples from lecture
- weil.data --- Example data - described in Liang and Hanfelt (1994) Biometrics. Also analyzed and discussed in Heagerty and Zeger (2000) Statisical Science
- weil_eda_571.q --- Example of weighted analysis EDA R/S+ code
- weil_eda_571.out --- Example output
- weil_QL.q --- Example of analysis that accounts for overdispersion R/S+ code
- weil_QL.out --- Example output
- Week 5 : Examples from lecture
- Week 6 : Examples from lecture
- 08Feb2010 Notes: LinearMixed571.pdf --- updated 15Feb2007
- NewCFkids.data --- CF data
- NewCFkids.txt --- documentation
- cfkids-read.q --- Example data entry/structure program
- cfkids-CDA-NewLMM.q --- R/S+ program for linear mixed model analysis
- cfkids-CDA-NewLMM.out --- R/S+ output
- 14 Feb 2010 Using SAS: --- There is SAS available on the
UW UNIX machine "mead" -- see
C&C UNIX Account Information --- If X-Win32 is installed on your
computer/laptop then you can use SAS with its GUI. Just run X-Win32 first, then
log in to mead and run SAS by typing `sas &' in the command line.
The '&' means that you run the program in background.
It enables you to type other commands in
command line without terminating SAS session. Note: we will be
able to use R/S+ for this class so SAS is not needed (optional).
- NewCFkids-SAS.data --- data
- cfkidsML.sas --- SAS program
- cfkidsML.lst --- SAS output
- cfkids-CDA-gee.q --- R/S+ program for weighted least squares analysis using gee(). Provides both model based standard errors and sandwich standard errors.
- cfkids-CDA-gee.out --- R/S+ output
- cows.data --- Example data - described in DLZ - Example 5.2, pages 100-103
- cows.plot.q --- R/S+ program for EDA
- cows.fit-gee.q --- R/S+ program for WLS estimation using GEE
- cows.fit-gee.out0 --- results for WLS estimation with OLS beta and sandwich variance
- cows.fit-gee.out1 --- results for WLS estimation with Exchangeable weighting and sandwich variance
- cows.gee-test.q --- R/S+ program for testing of the quadratic terms
- cows.gee-test.out --- testing results
- Week 7 : Examples from lecture
- 19Feb2010 ----- StatisticalIssues.doc --- a brief report written for a general medical audience that explains the use of empirical Bayes methods for the performance evaluation of Hospitals.
- 19Feb2010 ----- LairdLouis-EBRankingMethods.pdf --- summary of methods to estimate the rank of a unit...
- Week 8 : Examples from lecture
- Week 9 : Examples from lecture
- Week 10 : Examples from lecture
- 12Mar2010 ----- xerop-BUGS.pdf --- Bayesian estimation for GLMM -- Xeropthalmia example
- 12Mar2010 ----- xerop-odc.txt --- winBUGS example -- Xeropthalmia
- 12Mar2010 ----- summary.pdf --- a summary of the second half of the course. THANKS!