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Multilevel modelling (ML) [message #2058]

Tue, 22 April 2014 14:34

Dsisso
Messages: 6
Registered: February 2014
Location: Montréal,QC

Member

Hello everbody,
I'm working on vaccine doses received by under-5 children. Precisely, each children may receive either one, two or three doses of this vaccine (DTP-1, 2 and 3 report cumulative numbers -children who received 3 doses are included in dose 2 which are also included in dose 1). In my best understanding, this outcome may be considered as a count on which I can apply Poisson or Negative binomial ML modelling techniques according to the distribution pattern (equivalence of mean and variance or not. The problem is that a colleague (statistician) has suggested to preferentially analysis this outcome as ordered or unordered multinomial categories rather than a count. This seems very intriguing. Finally, I am wondering about the most appropriate choice in this situation.
Many thanks for your valuable assistance.

[Updated on: Tue, 22 April 2014 14:35]

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[Message index]

		Multilevel modelling (ML) By: Dsisso on Tue, 22 April 2014 14:34
		Re: Multilevel modelling (ML) By: Bridgette-DHS on Tue, 29 April 2014 10:25
		Re: Multilevel modelling (ML) By: Dsisso on Tue, 29 April 2014 12:26
		Re: Multilevel modelling (ML) By: Bridgette-DHS on Wed, 30 April 2014 10:28
		Re: Multilevel modelling (ML) By: Dsisso on Wed, 30 April 2014 10:34

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