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2011 Jun 13
0
How to formulate an (effect-modifying) interaction with matching variable in a conditional logistic regression?
...,1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,0, 1,0,0,0,1,0,0,0,0,0,0,0,0) dataset<-data.frame(pair,low,age,lwt,race,smoke,ptd,ht,ui) library(survival) # model with all covariates mult.cl<-clogit(low~lwt+race+smoke+ptd+ht+ui+strata(pair),data=dataset) summary(mult.cl) # H&L drop race mult2.cl<-update(mult.cl,.~.-race) summary(mult2.cl) ###################### # check interactions # ###################### multi1.cl<-update(mult2.cl,.~.+age:lwt) summary(multi1.cl) anova(mult2.cl,multi1.cl) # then comes the interaction with smoke # no good! Here's the problem multi2.cl<-u...
2013 Sep 12
25
shorewall-lite error at start
Hi, My main gateway is a router running on OpenWrt Barrier Breaker r37816/ Kernel Version3.10.4. I installed shorewall-lite from openwrt''s repo using opkg but while trying to start shorewall-lite I get the folowing errors: The first error i got was "scp: /var/lib/shorewall-lite: No such file or directory" simply resolved by making the folder "shorewall-lite"
2003 Oct 02
0
Doubly Multivariate LME
...tion of r = .85. The response variables in the data matrix are stacked in a vector with a dummy code flagging each outcome and with time variables for each outcome. The model was fit by removing the overall intercept, but creating fixed effects and random effects for each using the following: mult2.lme<-lme(fixed=score~-1+read+math+time.m+time.r, data=mult.samp, random=~-1+read+math+time.r+time.m|childid) This worked and seemed to produce reasonable estimates. I then ran a model using only a single outcome (reading) and found that the estimates are very similar, so I am relatively confid...