Re: [R] logistic regression in an incomplete dataset

Of Desmond D Campbell Sent: Monday, April 05, 2010 3:19 PM To: Emmanuel Charpentier Cc: r-help@r-project.org; Desmond Campbell Subject: Re: [R] logistic regression in an incomplete dataset Dear Emmanuel, Thank you. Yes I broadly agree with what you say. I think ML is a better strategy than complete case

Re: [R] logistic regression in an incomplete dataset

. Furthermore, the results of a Byesian analysis might not be what you seek... HTH, Emmanuel Charpentier Le lundi 05 avril 2010 à 11:34 +0100, Desmond Campbell a écrit : Dear all, I want to do a logistic regression. So far I've only found out how to do that in R, in a dataset

[R] logistic regression in an incomplete dataset

NA's present in the study cases. I've about 1000 unmatched study cases and less than 10 covariates so could use unconditional ML estimation (as opposed to conditional ML estimation). regards Desmond -- Desmond Campbell UCL Genetics Institute d.campb...@ucl.ac.uk Tel. ext. 020 31084006, int

[R] logistic regression in an incomplete dataset

about NA's present in the study cases. I've about 1000 unmatched study cases and less than 10 covariates so could use unconditional ML estimation (as opposed to conditional ML estimation). regards Desmond -- Desmond Campbell UCL Genetics Institute d.campb...@ucl.ac.uk Tel. ext. 020 31084006, int