A likelihood reformulation method in non-normal random effects models.
about
Analyzing repeated measures semi-continuous data, with application to an alcohol dependence study.A Bayesian model for misclassified binary outcomes and correlated survival data with applications to breast cancer.The correlated and shared gamma frailty model for bivariate current status data: an illustration for cross-sectional serological data.Modeling smoking cessation data with alternating states and a cure fraction using frailty models.A mixed ordinal location scale model for analysis of Ecological Momentary Assessment (EMA) data.Parametric frailty models for clustered data with arbitrary censoring: application to effect of male circumcision on HPV clearance.Mixed model analysis of censored longitudinal data with flexible random-effects density.Modeling between-subject and within-subject variances in ecological momentary assessment data using mixed-effects location scale models.Modeling correlated healthcare costs.SNP_NLMM: A SAS Macro to Implement a Flexible Random Effects Density for Generalized Linear and Nonlinear Mixed ModelsA frailty model for recurrent events during alternating restraint and non-restraint time periods.Diagnosing misspecification of the random-effects distribution in mixed models.Joint frailty models for zero-inflated recurrent events in the presence of a terminal event.A joint frailty model to estimate the recurrence process and the disease-specific mortality process without needing the cause of death.Nonlinear random-effects mixture models for repeated measures.Penalized likelihood estimation for semiparametric mixed models, with application to alcohol treatment research.The gradient function as an exploratory goodness-of-fit assessment of the random-effects distribution in mixed models.The analysis of multivariate longitudinal data: a review.A Two-Stage Joint Model for Nonlinear Longitudinal Response and a Time-to-Event with Application in Transplantation Studies
P2860
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P2860
A likelihood reformulation method in non-normal random effects models.
description
2008 nî lūn-bûn
@nan
2008 թուականի Յուլիսին հրատարակուած գիտական յօդուած
@hyw
2008 թվականի հուլիսին հրատարակված գիտական հոդված
@hy
2008年の論文
@ja
2008年論文
@yue
2008年論文
@zh-hant
2008年論文
@zh-hk
2008年論文
@zh-mo
2008年論文
@zh-tw
2008年论文
@wuu
name
A likelihood reformulation method in non-normal random effects models.
@ast
A likelihood reformulation method in non-normal random effects models.
@en
type
label
A likelihood reformulation method in non-normal random effects models.
@ast
A likelihood reformulation method in non-normal random effects models.
@en
prefLabel
A likelihood reformulation method in non-normal random effects models.
@ast
A likelihood reformulation method in non-normal random effects models.
@en
P356
P1476
A likelihood reformulation method in non-normal random effects models.
@en
P2093
Zhangsheng Yu
P304
P356
10.1002/SIM.3153
P407
P50
P577
2008-07-01T00:00:00Z