Ignoring overdispersion in hierarchical loglinear models: Possible problems and solutions. | Stat Med;31(14): 1475-82, 2012 Jun 30. | MEDLINE

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Ignoring overdispersion in hierarchical loglinear models: Possible problems and solutions.

Milanzi, Elasma; Alonso, Ariel; Molenberghs, Geert.

Affiliation

Milanzi E; I-BioStat, Universiteit Hasselt, B-3590 Diepenbeek, Belgium. elasma.milanzi@uhasselt.be

Stat Med ; 31(14): 1475-82, 2012 Jun 30.

Article in En | MEDLINE | ID: mdl-22362329

Subject(s)

Linear Models; Anticonvulsants/therapeutic use; Computer Simulation/statistics & numerical data; Epilepsy/drug therapy; Humans; Longitudinal Studies/statistics & numerical data; Models, Biological; Multicenter Studies as Topic/statistics & numerical data; Poisson Distribution; Randomized Controlled Trials as Topic/statistics & numerical data

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Full text: 1 Database: MEDLINE Main subject: Linear Models Type of study: Clinical_trials / Observational_studies / Prognostic_studies Limits: Humans Language: En Year: 2012 Type: Article

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Full text: 1 Database: MEDLINE Main subject: Linear Models Type of study: Clinical_trials / Observational_studies / Prognostic_studies Limits: Humans Language: En Year: 2012 Type: Article