WalWare: StatET: "Eclipse Plug-In for R: StatET" - provides statet plugin + see tutorial!!!
material for R courses incl Rcourse by Longhow Lam XXX
intro for eclipse, R, Latex, sweave, Texclipse, Statet collected via Rbloggers
also see swik search result for R + eclipse
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sobota 6. novembra 2010
piatok 9. júla 2010
logistic regression, linear trend test for OR
cf linear trend test for crosstabulated data - cochran armittage, mantel haenzel, linear-by-linear association
in LOGISTIC REGRESSION
find:
*** *** ***
books with worked example how to compute trends in OR logistic regression models
"logistic regression linear trend test Odds ratio how to" Jewell
Nicholas Jewell Statistics for epidemiology. p222
google books
***
statnotes
http://faculty.chass.ncsu.edu/garson/PA765/logistic.htm#contrasts
***
- Maxwell & Delaney "Designing Experiments and Analyzing Data" Lawrence Erlbaum Associates
cf old nabble- SPSS discussion forum
in LOGISTIC REGRESSION
cf to test linear trend (of OR) across quartiles we entered 4-level ordinal term representing medians of 4 quartiles of original continuous
cf Ridker Comparison of CRP and LDL - NEJM
Nieto
Shahar - 2000
find:
*** *** ***
books with worked example how to compute trends in OR logistic regression models
"logistic regression linear trend test Odds ratio how to" Jewell
Nicholas Jewell Statistics for epidemiology. p222
google books
***
statnotes
http://faculty.chass.ncsu.edu/garson/PA765/logistic.htm#contrasts
***
- Maxwell & Delaney "Designing Experiments and Analyzing Data" Lawrence Erlbaum Associates
cf old nabble- SPSS discussion forum
If you want to know more on polynomial contrasts, check specialised books,
like: Maxwell & Delaney "Designing Experiments and Analyzing Data" Lawrence
Erlbaum Associates. If you Google a bit using this search key: "Polynomial
contrasts logistic regression", you will se that it is widely used in
experimental research to test for linear and non linear trends.
*** ***
- selvin , statistical analysis for epidemiologic data, p228 - cf stata-"trend test after logistic regression"
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