All, A quick question, and an easy one I expect. Suppose the following generic overdispersed log-linear model: Count ~ A + B + C + (1|level1) + (1|level2) + (1|obs) A, B, and C are all factors. A does not vary within level1 subjects. B does not vary within level2 subjects. C varies within level 1 and level 2 subjects. Does the conditional nature of the GLMM and the lack of variation in A (within level 1 subjects) and B (within level 2 subjects) result in nonsensical or uninterpretable coefficients for these two covariates? Thanks, Adam Smith Dept. Natural Resources Science 105 Coastal Institute in Kingston University of Rhode Island
GLMM parameter interpretation
3 messages · Adam Smith, ONKELINX, Thierry
A quick answer: No ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance Kliniekstraat 25 1070 Anderlecht Belgium + 32 2 525 02 51 + 32 54 43 61 85 Thierry.Onkelinx at inbo.be www.inbo.be To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey -----Oorspronkelijk bericht----- Van: r-sig-mixed-models-bounces at r-project.org [mailto:r-sig-mixed-models-bounces at r-project.org] Namens Adam Smith Verzonden: vrijdag 20 januari 2012 5:22 Aan: r-sig-mixed-models at r-project.org Onderwerp: [R-sig-ME] GLMM parameter interpretation All, A quick question, and an easy one I expect. Suppose the following generic overdispersed log-linear model: Count ~ A + B + C + (1|level1) + (1|level2) + (1|obs) A, B, and C are all factors. A does not vary within level1 subjects. B does not vary within level2 subjects. C varies within level 1 and level 2 subjects. Does the conditional nature of the GLMM and the lack of variation in A (within level 1 subjects) and B (within level 2 subjects) result in nonsensical or uninterpretable coefficients for these two covariates? Thanks, Adam Smith Dept. Natural Resources Science 105 Coastal Institute in Kingston University of Rhode Island _______________________________________________ R-sig-mixed-models at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
Thanks, although I should correct an omission in my description.? Factor A does not vary within level 1 OR level 2 subjects.? Does this change anything for that covariate? Adam ----------------------------------------
From: Thierry.ONKELINX at inbo.be To: raptorbio at hotmail.com; r-sig-mixed-models at r-project.org Subject: RE: [R-sig-ME] GLMM parameter interpretation Date: Fri, 20 Jan 2012 08:31:03 +0000 A quick answer: No ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance Kliniekstraat 25 1070 Anderlecht Belgium + 32 2 525 02 51 + 32 54 43 61 85 Thierry.Onkelinx at inbo.be www.inbo.be To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey -----Oorspronkelijk bericht----- Van: r-sig-mixed-models-bounces at r-project.org [mailto:r-sig-mixed-models-bounces at r-project.org] Namens Adam Smith Verzonden: vrijdag 20 januari 2012 5:22 Aan: r-sig-mixed-models at r-project.org Onderwerp: [R-sig-ME] GLMM parameter interpretation All, A quick question, and an easy one I expect. Suppose the following generic overdispersed log-linear model: Count ~ A + B + C + (1|level1) + (1|level2) + (1|obs) A, B, and C are all factors. A does not vary within level1 subjects. B does not vary within level2 subjects. C varies within level 1 and level 2 subjects. Does the conditional nature of the GLMM and the lack of variation in A (within level 1 subjects) and B (within level 2 subjects) result in nonsensical or uninterpretable coefficients for these two covariates? Thanks, Adam Smith Dept. Natural Resources Science 105 Coastal Institute in Kingston University of Rhode Island
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