Repeated probit regression when covariates are measured with error.
about
A mover-stayer model for longitudinal marker data.Binary regression analysis with pooled exposure measurements: a regression calibration approach.An augmented probit model for missing predictable covariates in quantal bioassay with small sample size.Generalized linear mixed model for binary outcomes when covariates are subject to measurement errors and detection limits.
P2860
Repeated probit regression when covariates are measured with error.
description
1999 nî lūn-bûn
@nan
1999年の論文
@ja
1999年学术文章
@wuu
1999年学术文章
@zh
1999年学术文章
@zh-cn
1999年学术文章
@zh-hans
1999年学术文章
@zh-my
1999年学术文章
@zh-sg
1999年學術文章
@yue
1999年學術文章
@zh-hant
name
Repeated probit regression when covariates are measured with error.
@en
Repeated probit regression when covariates are measured with error.
@nl
type
label
Repeated probit regression when covariates are measured with error.
@en
Repeated probit regression when covariates are measured with error.
@nl
prefLabel
Repeated probit regression when covariates are measured with error.
@en
Repeated probit regression when covariates are measured with error.
@nl
P2093
P1433
P1476
Repeated probit regression when covariates are measured with error.
@en
P2093
Follmann DA
Hunsberger SA
P2860
P304
P356
10.1111/J.0006-341X.1999.00403.X
P407
P577
1999-06-01T00:00:00Z