Inferring genetic causal effects on survival data with associated endo-phenotypes.
about
Methods for Analyzing Multivariate Phenotypes in Genetic Association Studies.GNAS gene variants affect β-blocker-related survival after coronary artery bypass grafting.CGene: an R package for implementation of causal genetic analyses.Estimating and testing direct genetic effects in directed acyclic graphs using estimating equations.
P2860
Inferring genetic causal effects on survival data with associated endo-phenotypes.
description
2010 nî lūn-bûn
@nan
2010 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2010 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2010年の論文
@ja
2010年論文
@yue
2010年論文
@zh-hant
2010年論文
@zh-hk
2010年論文
@zh-mo
2010年論文
@zh-tw
2010年论文
@wuu
name
Inferring genetic causal effects on survival data with associated endo-phenotypes.
@ast
Inferring genetic causal effects on survival data with associated endo-phenotypes.
@en
type
label
Inferring genetic causal effects on survival data with associated endo-phenotypes.
@ast
Inferring genetic causal effects on survival data with associated endo-phenotypes.
@en
prefLabel
Inferring genetic causal effects on survival data with associated endo-phenotypes.
@ast
Inferring genetic causal effects on survival data with associated endo-phenotypes.
@en
P2093
P356
P1433
P1476
Inferring genetic causal effects on survival data with associated endo-phenotypes.
@en
P2093
Christoph Lange
Jochen Daniel Muehlschlegel
Kuang-Yu Liu
Peter J Lipman
Simon Body
P2860
P304
P356
10.1002/GEPI.20557
P577
2010-12-31T00:00:00Z