Conditional pseudolikelihood methods for clustered ordinal, multinomial, or count outcomes with complex survey data.
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Model-based standardization to adjust for unmeasured cluster-level confounders with complex survey data.Methods of estimating or accounting for neighborhood associations with health using complex survey data.Neighborhood contributions to psychological distress among Latino New York City adults.Adjusting for unmeasured confounding due to either of two crossed factors with a logistic regression model.
P2860
Conditional pseudolikelihood methods for clustered ordinal, multinomial, or count outcomes with complex survey data.
description
2012 nî lūn-bûn
@nan
2012 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2012 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2012年の論文
@ja
2012年論文
@yue
2012年論文
@zh-hant
2012年論文
@zh-hk
2012年論文
@zh-mo
2012年論文
@zh-tw
2012年论文
@wuu
name
Conditional pseudolikelihood m ...... omes with complex survey data.
@ast
Conditional pseudolikelihood m ...... omes with complex survey data.
@en
type
label
Conditional pseudolikelihood m ...... omes with complex survey data.
@ast
Conditional pseudolikelihood m ...... omes with complex survey data.
@en
prefLabel
Conditional pseudolikelihood m ...... omes with complex survey data.
@ast
Conditional pseudolikelihood m ...... omes with complex survey data.
@en
P2093
P2860
P356
P1476
Conditional pseudolikelihood m ...... omes with complex survey data.
@en
P2093
Amy B Dailey
Babette A Brumback
Hao W Zheng
Zhuangyu Cai
P2860
P304
P356
10.1002/SIM.5625
P407
P577
2012-09-13T00:00:00Z