Mixed effects logistic regression models for longitudinal ordinal functional response data with multiple-cause drop-out from the longitudinal study of aging.
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A semiparametric joint model for longitudinal and survival data with application to hemodialysis study.A Bayesian Shrinkage Model for Incomplete Longitudinal Binary Data with Application to the Breast Cancer Prevention Trial.A Fast EM Algorithm for Fitting Joint Models of a Binary Response and Multiple Longitudinal Covariates Subject to Detection Limits.A random pattern mixture model for ordinal outcomes with informative dropoutsEffects of ignoring baseline on modeling transitions from intact cognition to dementia.Tom Ten Have's contributions to causal inference and biostatistics: review and future research directions.Mixed effects logistic regression models for multiple longitudinal binary functional limitation responses with informative drop-out and confounding by baseline outcomes.Survival models and health sequences.
P2860
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P2860
Mixed effects logistic regression models for longitudinal ordinal functional response data with multiple-cause drop-out from the longitudinal study of aging.
description
2000 nî lūn-bûn
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2000年の論文
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name
Mixed effects logistic regress ...... e longitudinal study of aging.
@ast
Mixed effects logistic regress ...... e longitudinal study of aging.
@en
type
label
Mixed effects logistic regress ...... e longitudinal study of aging.
@ast
Mixed effects logistic regress ...... e longitudinal study of aging.
@en
prefLabel
Mixed effects logistic regress ...... e longitudinal study of aging.
@ast
Mixed effects logistic regress ...... e longitudinal study of aging.
@en
P2093
P2860
P1433
P1476
Mixed effects logistic regress ...... e longitudinal study of aging.
@en
P2093
Reboussin BA
Ten Have TR
P2860
P304
P356
10.1111/J.0006-341X.2000.00279.X
P407
P577
2000-03-01T00:00:00Z