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Haplotype analysis in population-based association studies AgEcon
Mander, Adrian P..
This paper describes how to use the command hapipf and introduces the command profhap written for Stata that analyzes population-based genetic data. For these studies, association can be linkage disequilibrium within a set of loci or allelic/haplotype association with disease status. Confidence intervals for odds ratios are calculated with or without adjustment for possible factors that are confounding the relationship. Additionally, this command allows the specification of many models of association that are not widely implemented.
Tipo: Journal Article Palavras-chave: Haplotype analysis; Association tests; Profile likelihood; Odds ratio; Research Methods/ Statistical Methods.
Ano: 2001 URL: http://purl.umn.edu/115936
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Profile likelihood for estimation and confidence intervals AgEcon
Royston, Patrick.
Normal-based confidence intervals for a parameter of interest are inaccurate when the sampling distribution of the estimate is nonnormal. The technique known as profile likelihood can produce confidence intervals with better coverage. It may be used when the model includes only the variable of interest or several other variables in addition. Profile-likelihood confidence intervals are particularly useful in nonlinear models. The command pllf computes and plots the maximum likelihood estimate and profile likelihood–based confidence interval for one parameter in a wide variety of regression models.
Tipo: Article Palavras-chave: Pllf; Profile likelihood; Confidence interval; Nonnormality; Nonlinear model; Research Methods/ Statistical Methods.
Ano: 2007 URL: http://purl.umn.edu/119282
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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
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