✦ LIBER ✦

Statistical genetics with application to population-based study design: a primer for clinicians

✍ Scribed by Beyene, J.; Pare, G.

Book ID: 121854819
Publisher: Oxford University Press
Year: 2013
Tongue: English
Weight: 284 KB
Volume: 35
Category: Article
ISSN: 0195-668X
DOI: 10.1093/eurheartj/eht272

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Applied Statistical Genetics with R: For

Applied Statistical Genetics with R: For Population-based Association Studies by FOULKES, A. S.

✍ Kui Zhang 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 130 KB

Genetics of hypertension in a Spanish po

Genetics of hypertension in a Spanish population. Results from epidemiologic study, with a case-control population-based design

✍ Esperanza Martinez; Angel Puras; Carlos Sanchis; Lucinio Carrión; J. Antonio Fer 📂 Article 📅 1998 🏛 Nature Publishing Group 🌐 English ⚖ 120 KB

Applied Statistical Genetics with R: For

Applied Statistical Genetics with R: For Population-based Association Studies by Andrea S. Foulkes

✍ Daniel Fischer 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 164 KB

Systematic Statistical-Based Approach fo

Systematic Statistical-Based Approach for Product Design: Application to Disinfectant Formulations

✍ Omidbakhsh, Navid; Duever, Thomas A.; Elkamel, Ali; Reilly, Park M. 📂 Article 📅 2010 🏛 American Chemical Society 🌐 English ⚖ 584 KB

Adaptive Optimal Design for Bridging Stu

Adaptive Optimal Design for Bridging Studies with an Application to Population Pharmacokinetic Studies

✍ Lee Kien Foo, Stephen Duffull 📂 Article 📅 2012 🏛 Springer US 🌐 English ⚖ 873 KB

A Bayesian approach to genetic associati

A Bayesian approach to genetic association studies with family-based designs

✍ Melissa G. Naylor; Scott T. Weiss; Christoph Lange 📂 Article 📅 2010 🏛 John Wiley and Sons 🌐 English ⚖ 108 KB 👁 1 views

## Abstract For genome‐wide association studies with family‐based designs, we propose a Bayesian approach. We show that standard transmission disequilibrium test and family‐based association test statistics can naturally be implemented in a Bayesian framework, allowing flexible specification of the