Mixed-effects Cox models of alcohol dependence in extended families
about
Hierarchical linear modeling of longitudinal pedigree data for genetic association analysis.Integrated analysis of genetic data with R.Using an Event-History with Risk-Free Model to Study the Genetics of Alcoholism.Soluble Forms of Intercellular and Vascular Cell Adhesion Molecules Independently Predict Progression to Type 2 Diabetes in Mexican American Families.Identification of Ganoderma Disease Resistance Loci Using Natural Field Infection of an Oil Palm Multiparental Population.Lipidomic risk score independently and cost-effectively predicts risk of future type 2 diabetes: results from diverse cohortsPedWiz: a web-based tool for pedigree informatics.
P2860
Q30879790-C51BECBD-9BFD-4B7D-975D-35BFB0CC4E19Q31031864-1028B42A-26B5-46C1-99E2-135A632AC676Q33694540-FF1332AF-E528-403D-B970-F4409E5F5B64Q35967535-51ED0653-9120-4AE3-8EF7-2B947CF7EB2CQ36395448-4442ED28-C77A-4530-AA54-893977932DD1Q36765489-2F6A302D-AA4D-4276-97C6-793C6D869E05Q37196542-AD9F7360-A158-4329-885C-9B6003B8CF78
P2860
Mixed-effects Cox models of alcohol dependence in extended families
description
2005 nî lūn-bûn
@nan
2005 թուականի Դեկտեմբերին հրատարակուած գիտական յօդուած
@hyw
2005 թվականի դեկտեմբերին հրատարակված գիտական հոդված
@hy
2005年の論文
@ja
2005年論文
@yue
2005年論文
@zh-hant
2005年論文
@zh-hk
2005年論文
@zh-mo
2005年論文
@zh-tw
2005年论文
@wuu
name
Mixed-effects Cox models of alcohol dependence in extended families
@ast
Mixed-effects Cox models of alcohol dependence in extended families
@en
type
label
Mixed-effects Cox models of alcohol dependence in extended families
@ast
Mixed-effects Cox models of alcohol dependence in extended families
@en
prefLabel
Mixed-effects Cox models of alcohol dependence in extended families
@ast
Mixed-effects Cox models of alcohol dependence in extended families
@en
P2860
P1433
P1476
Mixed-effects Cox models of alcohol dependence in extended families
@en
P2093
Jing hua Zhao
P2860
P2888
P356
10.1186/1471-2156-6-S1-S127
P478
P577
2005-12-30T00:00:00Z
P5875
P6179
1051645766