Rejoinder to “quantifying publication bias in meta‐analysis”
(Source: Biometrics)
Source: Biometrics - November 15, 2017 Category: Biotechnology Authors: Lifeng Lin, Haitao Chu Tags: REJOINDER Source Type: research
Covariate ‐adjusted Spearman's rank correlation with probability‐scale residuals
Biometrics, EarlyView. (Source: Biometrics)
Source: Biometrics - November 13, 2017 Category: Biotechnology Source Type: research
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Biometrics, Ahead of Print. (Source: Biometrics)
Source: Biometrics - November 13, 2017 Category: Biotechnology Source Type: research
Integrated powered density: Screening ultrahigh dimensional covariates with survival outcomes
Biometrics, EarlyView. (Source: Biometrics)
Source: Biometrics - November 9, 2017 Category: Biotechnology Source Type: research
Testing for gene –environment interaction under exposure misspecification
Biometrics, EarlyView. (Source: Biometrics)
Source: Biometrics - November 9, 2017 Category: Biotechnology Source Type: research
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Biometrics, Ahead of Print. (Source: Biometrics)
Source: Biometrics - November 9, 2017 Category: Biotechnology Source Type: research
Testing for gene –environment interaction under exposure misspecification
Summary
Complex interplay between genetic and environmental factors characterizes the etiology of many diseases. Modeling gene–environment (GxE) interactions is often challenged by the unknown functional form of the environment term in the true data‐generating mechanism. We study the impact of misspecification of the environmental exposure effect on inference for the GxE interaction term in linear and logistic regression models. We first examine the asymptotic bias of the GxE interaction regression coefficient, allowing for confounders as well as arbitrary misspecification of the exposure and confounder effects. For li...
Source: Biometrics - November 9, 2017 Category: Biotechnology Authors: Ryan Sun, Raymond J. Carroll, David C. Christiani, Xihong Lin Tags: ORIGINAL ARTICLE Source Type: research
Reader Reaction: A note on testing and estimation in marker ‐set association study using semiparametric quantile regression kernel machine
Biometrics, EarlyView. (Source: Biometrics)
Source: Biometrics - November 2, 2017 Category: Biotechnology Source Type: research
Discussion of “Data‐driven confounder selection via Markov and Bayesian networks” by Häggström
Biometrics, EarlyView. (Source: Biometrics)
Source: Biometrics - November 2, 2017 Category: Biotechnology Source Type: research
Discussion of “Data‐driven confounder selection via Markov and Bayesian networks” by Jenny Häggström
Biometrics, EarlyView. (Source: Biometrics)
Source: Biometrics - November 2, 2017 Category: Biotechnology Source Type: research
Rejoinder to Discussions on: Data ‐driven confounder selection via Markov and Bayesian networks
Biometrics, EarlyView. (Source: Biometrics)
Source: Biometrics - November 2, 2017 Category: Biotechnology Source Type: research
Rejoinder to “A note on testing and estimation in marker‐set association study using semiparametric quantile regression kernel machine”
Biometrics, EarlyView. (Source: Biometrics)
Source: Biometrics - November 2, 2017 Category: Biotechnology Source Type: research
Data ‐driven confounder selection via Markov and Bayesian networks
Biometrics, EarlyView. (Source: Biometrics)
Source: Biometrics - November 2, 2017 Category: Biotechnology Source Type: research
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Biometrics, Ahead of Print. (Source: Biometrics)
Source: Biometrics - November 2, 2017 Category: Biotechnology Source Type: research
