On Sat, 31 Jul 2010, aline uwimana wrote:
Thank you Thomas,
if i understand what you say below i need to use glm in order to have the
deviance and consider it for the model with svyglm and choose the best model. I
use glm and svyglm for two models but don't have deviance for the svyglm. As i
Thank you Thomas,
if i understand what you say below i need to use glm in order to have the
deviance and consider it for the model with svyglm and choose the best
model. I use glm and svyglm for two models but don't have deviance for the
svyglm. As i need to choose with the two models it is corre
On Sat, 31 Jul 2010, aline uwimana wrote:
This message is for those familiar with the survey package. I need to do
regression logistic and choose the best model which explain the impact of the
indepndent variables by using AIC,BIC,...
> sum.coef<-summary(svyglm(y~x1+x2+x3, design=design, famil
This message is for those familiar with the survey package. I need to do
regression logistic and choose the best model which explain the impact of
the indepndent variables by using AIC,BIC,...
> sum.coef<-summary(svyglm(y~x1+x2+x3, design=design,
family=quasibinomial(), data=data))$deviance
is t
On Thu, 22 Jul 2010, R user wrote:
This message is for those familiar with the survey package. I need to fit a
weighted Cox model to accommodate the sampling weights as I have a
case-control study with controls sampled at random from a database in a
ratio 2:1 to cases (whom were all sampled). I
This message is for those familiar with the survey package. I need to fit a
weighted Cox model to accommodate the sampling weights as I have a
case-control study with controls sampled at random from a database in a
ratio 2:1 to cases (whom were all sampled). I want to make sure I am using
the righ
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