missing data + explanatory variables

I don't receive anything from E. Charpentier?!

The problem is that my response is always of this pattern:
0 0 0 1
0 0 0 0
0 1 NA NA
That's wher I had missing data, after the default, I don't have any data 
for
that individual. And the variable is necessary a sequence of 0 with a
possible 1 at the end.

I'm trying to use something better than the logistic GLM at each time
period.

Hello,

2010/3/26 David Duffy <David.Duffy at qimr.edu.au>

On Thu, 25 Mar 2010, Christophe Dutang wrote:

 I try to model a binary response variable over a small period of time. 
The

problem is that for some lines, the response is missing. In this 
mailing
list archive, I do not find response to this question.

 fm1 <- lmer(Reaction ~ Days + (Days|Subject), sleepstudy)

sleepstudy2 <- sleepstudy
sleepstudy2[180, "Reaction"] <- NA
fm2 <- lmer(Reaction ~ Days + (Days|Subject), sleepstudy2)

What am I doing wrong?

This worked perfectly, did it not?

the observation number is reduced by 1.

 As Emmanuel Charpentier summarized, you can't use information from the
"lines" where the response is missing (expect for prediction, the BLUP)
unless you move to some type of multivariate model that explicitly models
the interrelationships of the covariates, like the multiple imputation
models or SEM.

I don't receive anything from E. Charpentier?!

But in that case, all that happens is you gain a little bit of 
information
about the distributions of the covariates, which may or may not influence
your model for the response variable.

By "some lines are missing", I mean I don't have both the response and the
covariate. Let me explain what I'm doing. I work on default of individual.
Every 6 month for each indvidual the response variable equals to 1 if he
defaults on the period, 0 otherwise. For each time period I also observe
explanatory variables (age, job, marital status,...).

The problem is that my response is always of this pattern:
0 0 0 1
0 0 0 0
0 1 NA NA
That's wher I had missing data, after the default, I don't have any data 
for
that individual. And the variable is necessary a sequence of 0 with a
possible 1 at the end.

I'm trying to use something better than the logistic GLM at each time
period.

Thanks in advance for any advice

Christophe

PS what are the "lines" you refer to?  What is the actual problem you are
working on?


--
| David Duffy (MBBS PhD)                                         ,-_|\
| email: davidD at qimr.edu.au  ph: INT+61+7+3362-0217 fax: -0101  /     *
| Epidemiology Unit, Queensland Institute of Medical Research   \_,-._/
| 300 Herston Rd, Brisbane, Queensland 4029, Australia  GPG 4D0B994A v

-- 
Christophe DUTANG
Ph. D. student at ISFA

[[alternative HTML version deleted]]