Estimation and comparison of changes in the presence of informative right censoring: conditional linear model.
about
A 'missing not at random' (MNAR) and 'missing at random' (MAR) growth model comparison with a buprenorphine/naloxone clinical trial.Missing data methods in longitudinal studies: a reviewBayesian latent-class mixed-effect hybrid models for dyadic longitudinal data with non-ignorable dropouts.Longitudinal data analysis (repeated measures) in clinical trials.Modeling repeated count data subject to informative dropout.Bayesian modeling and inference for clinical trials with partial retrieved data following dropoutStratified tests, stratified slopes, and random effects models for clinical trials with missing data.BAYESIAN MODELING LONGITUDINAL DYADIC DATA WITH NONIGNORABLE DROPOUT, WITH APPLICATION TO A BREAST CANCER STUDYImpact of missing data due to drop-outs on estimators for rates of change in longitudinal studies: a simulation study.Sensitivity analysis of longitudinal binary quality of life data with drop-out: an example using the EORTC QLQ-C30.Bias adjustment in analysing longitudinal data with informative missingness.Small-sample inference for incomplete longitudinal data with truncation and censoring in tumor xenograft models.A latent autoregressive model for longitudinal binary data subject to informative missingness.Marginalized transition shared random effects models for longitudinal binary data with nonignorable dropout.Bayesian Inference for Growth Mixture Models with Latent Class Dependent Missing Data.A Joint Modeling Approach for Right Censored High Dimensional Multivariate Longitudinal DataBayesian modeling of the covariance structure for irregular longitudinal data using the partial autocorrelation function.Mixtures of varying coefficient models for longitudinal data with discrete or continuous nonignorable dropout.Bayesian analysis of hierarchical pattern-mixture models for clinical trials data with attrition and comparisons to commonly used ad-hoc and model-based approaches.Analysis of longitudinal binary data with missing data due to dropouts.Statistical analysis of longitudinal psychiatric data with dropouts.Use of OSWALD for analyzing longitudinal data with informative dropout.A latent-class mixture model for incomplete longitudinal Gaussian data.Random effects and latent processes approaches for analyzing binary longitudinal data with missingness: a comparison of approaches using opiate clinical trial data.A joint model for longitudinal and survival data based on an AR(1) latent process.Imputation-based strategies for clinical trial longitudinal data with nonignorable missing values.The association of dropout and outcome in trials of antipsychotic medication and its implications for dealing with missing data.A comparison of missing data methods for hypothesis tests of the treatment effect in substance abuse clinical trials: a Monte-Carlo simulation studyFactor analytic models of clustered multivariate data with informative censoring.An alternative parameterization of the general linear mixture model for longitudinal data with non-ignorable drop-outs.Selection models and pattern-mixture models to analyse longitudinal quality of life data subject to drop-out.Statistical approaches to experimental design and data analysis of in vivo studies.Mixed-effect hybrid models for longitudinal data with nonignorable dropout.Bias in 2-part mixed models for longitudinal semicontinuous data.Estimation in longitudinal or panel data models with random-effect-based missing responses.Bayesian quantile regression for longitudinal studies with nonignorable missing data.Varying-coefficient models for longitudinal processes with continuous-time informative dropoutComparison of Different LGM-Based Methods with MAR and MNAR Dropout Data.On estimating the relationship between longitudinal measurements and time-to-event data using a simple two-stage procedure.Evaluating the quality of longitudinal statistical applications in original publications on Alzheimer's disease.
P2860
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P2860
Estimation and comparison of changes in the presence of informative right censoring: conditional linear model.
description
1989 nî lūn-bûn
@nan
1989年の論文
@ja
1989年論文
@yue
1989年論文
@zh-hant
1989年論文
@zh-hk
1989年論文
@zh-mo
1989年論文
@zh-tw
1989年论文
@wuu
1989年论文
@zh
1989年论文
@zh-cn
name
Estimation and comparison of c ...... ing: conditional linear model.
@en
type
label
Estimation and comparison of c ...... ing: conditional linear model.
@en
prefLabel
Estimation and comparison of c ...... ing: conditional linear model.
@en
P356
P1433
P1476
Estimation and comparison of c ...... ing: conditional linear model.
@en
P304
P356
10.2307/2531694
P407
P577
1989-09-01T00:00:00Z