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	Provedor de dados AgEcon (2) Autor Marchenko, Yulia V. (2) Amos, Christopher I. (1) Carroll, Raymond J. (1) Gutierrez, Roberto G. (1) Lin, Danyu Y. (1) Palavra-chave Research Methods/ Statistical Methods (2) ANOVA (1) Case–control data (1) Experimental design (1) Haplologit (1) Haplotype-based analysis (1) Haplotype–environment independence (1) Hardy–Weinberg equilibrium (1) ML (1) Mixed models (1) Multilevel (1) Profile likelihood (1) REML (1) Random coefficients (1) Retrospective study (1) Single nucleotide polymorphisms (SNPs) (1) Variance components (1) Mais... Tipo do documento Article (1) Journal Article (1) Ano 2008 (1) 2005 (1) País United States (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Estimating variance components in Stata AgEcon Marchenko, Yulia V.. This article gives a brief overview of the popular methods for estimating variance components in linear models and describes several ways to obtain such estimates in Stata for various experimental designs. The article’s emphasis is on using xtmixed to estimate variance components. Prior to Stata 9, loneway could be used to estimate variance components for one-way random-effects models. For other experimental designs, variance components could be computed manually using saved results after anova. The latter approach is viable but requires tedious computations for complicated experimental designs. Instead, as of Stata 9, variance components are easily obtained by using xtmixed. Tipo: Journal Article Palavras-chave: Variance components; Experimental design; ANOVA; REML; ML; Multilevel; Random coefficients; Mixed models; Research Methods/ Statistical Methods. Ano: 2005 URL: http://purl.umn.edu/117553 Semiparametric analysis of case–control genetic data in the presence of environmental factors AgEcon Marchenko, Yulia V.; Carroll, Raymond J.; Lin, Danyu Y.; Amos, Christopher I.; Gutierrez, Roberto G.. In the past decade, many statistical methods have been proposed for the analysis of case–control genetic data with an emphasis on haplotype-based disease association studies. Most of the methodology has concentrated on the estimation of genetic (haplotype) main effects. Most methods accounted for environmental and gene–environment interaction effects by using prospective-type analyses that may lead to biased estimates when used with case–control data. Several recent publications addressed the issue of retrospective sampling in the analysis of case–control genetic data in the presence of environmental factors by developing efficient semiparametric statistical methods. This article describes the new Stata command haplologit, which implements efficient... Tipo: Article Palavras-chave: Haplologit; Haplotype-based analysis; Haplotype–environment independence; Case–control data; Hardy–Weinberg equilibrium; Profile likelihood; Retrospective study; Single nucleotide polymorphisms (SNPs); Research Methods/ Statistical Methods. Ano: 2008 URL: http://purl.umn.edu/122596 Registros recuperados: 2 Primeira ... 1 ... Última

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