select specific rows from regression output

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Hi

I am not familiar with glmer but maybe you can try to give to prediction only values with BMI>25. As you did not provide data nor any code something like (untested)

predict(fit, newdata=olddata[olddata$BMI>25,])

Regards
Petr
-----Original Message-----
From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
project.org] On Behalf Of Alexander Snijders
Sent: Monday, September 03, 2012 1:13 PM
To: r-help at r-project.org
Subject: [R] select specific rows from regression output

Hello everyone,

I have a data set that contains characteristics of 25,000 patients of
92 different hospitals. I have run a regression to capture the
probability these patients will have a complication after a certain
operation. Now, I actually want to predict the probability per patient,
using the outcome of the regression, but I just certain patients
involved in the prediction. So, I want to use the estimated parameters
of the full regression, but after that, I only want patients with
certain characteristics in my prediction matrix. For example, only
patients with BMI >25.

My regressional formula looks as follows: fit = glmer(response ~
sex+bmi+asa+ (1|center),  data=data, family=binomial), and my normal
prediction formula: pred=fit at X %*% fit at fixef. I hope someone can help
me!

Greetings, Alex

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