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- From: maj@waikato.ac.nz
- Newsgroups: bit.listserv.stat-l,sci.math.stat
- Subject: Re: Nonlinear Mixed Models
- Message-ID: <1992Sep9.085208.10699@waikato.ac.nz>
- Date: 9 Sep 92 08:52:08 +1200
- References: <1992Sep7.142612.10648@waikato.ac.nz>
- Organization: University of Waikato, Hamilton, New Zealand
- Lines: 44
-
- In article <1992Sep7.142612.10648@waikato.ac.nz>, maj@waikato.ac.nz writes:
- >
- > Does anyone have references to nonlinear models
- > with random effects?
- >
- > ie , what would be classed as a mixed model if
- > only it were linear?
- >
-
- A summary of the email responses that I received follows: I hope
- no-one objects to my sharing their knowledge!
-
- From: IN%"psolomon@akora.stats.adelaide.edu.au" [Patty Solomon]
- You might be interested in looking at a paper of mine, joint with DR Cox,
- which appeared in this year's March issue of Biometrika.
-
- From: IN%"wvenable@stats.adelaide.edu.au" "Bill Venables"
- Try
-
- Lindstrom, M. and Bates, D. (1990) Nonlinear mixed effects models for
- repeated measures data. Biometrics, 46, 673-687.
-
- and references therein.
-
- From: IN%"markp@per.dms.csiro.au"
- Try Palmer et al, Biometrics V47, pp623-635. There are also
- a bunch of references at the end.
-
- From: IN%"jeff@biomact.biom.csiro.au" [Jeff Wood]
- There is a bit of discussion of this sort of thing in McCullagh and
- Nelder in the context of GLMs.
-
-
- From: IN%"gange@stat.wisc.edu" [Stephen]
- See Lindstrom and Bates (Biometrics, 1990, 46, 673), Vonesh and Carter
- (Biometrics, 1992, 48, 1) and references therein.
-
-
- --
- Murray A. Jorgensen [ maj@waikato.ac.nz ] University of Waikato
- Department of Mathematics and Statistics Hamilton, New Zealand
- __________________________________________________________________
- 'Tis the song of the Jubjub! the proof is complete,
- if only I've stated it thrice.'
-