Selection models for repeated measurements with non-random dropout: an illustration of sensitivity.
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An exploration of the missing data mechanism in an Internet based smoking cessation trialDual imputation model for incomplete longitudinal data.Coping with missing data in clinical trials: a model-based approach applied to asthma trials.Marginalized transition shared random effects models for longitudinal binary data with nonignorable dropout.Analysis of cross-over studies with missing data.A local influence approach applied to binary data from a psychiatric study.Review of analytical methods for prospective cohort studies using time to event data: single studies and implications for meta-analysis.Longitudinal data subject to irregular observation: A review of methods with a focus on visit processes, assumptions, and study design.Modeling Change in the Presence of Non-Randomly Missing Data: Evaluating A Shared Parameter Mixture Model.Sensitivity Analysis of Multiple Informant Models When Data are Not Missing at Random.Bayesian analysis of hierarchical pattern-mixture models for clinical trials data with attrition and comparisons to commonly used ad-hoc and model-based approaches.Postmodeling Sensitivity Analysis to Detect the Effect of Missing Data Mechanisms.A simulation-based marginal method for longitudinal data with dropout and mismeasured covariatesAlternative methods for handling attrition: an illustration using data from the Fast Track evaluationA local influence sensitivity analysis for incomplete longitudinal depression data.Median regression models for longitudinal data with dropouts.Robust joint modeling of longitudinal measurements and competing risks failure time dataOn the impact of nonresponse in logistic regression: application to the 45 and Up study.Using a shared parameter mixture model to estimate change during treatment when termination is related to recovery speed.How much can we learn about missing data?: an exploration of a clinical trial in psychiatry.Missing data in model-based pharmacometric applications: points to consider.A Bayesian model for longitudinal count data with non-ignorable dropout.Doubly robust estimates for binary longitudinal data analysis with missing response and missing covariatesA Semiparametric Marginalized Model for Longitudinal Data with Informative DropoutHOW WELL DO SELECTION MODELS PERFORM? ASSESSING THE ACURACY OF ART AUCTION PRE-SALE ESTIMATES.Evaluation of a weighting approach for performing sensitivity analysis after multiple imputation.A mathematical model to predict endothelial cell density following penetrating keratoplasty with selective dropout from graft failureStatistical issues in life course epidemiology.Accounting for dropout reason in longitudinal studies with nonignorable dropoutNon-homogeneous Markov process models with informative observations with an application to Alzheimer's disease.Eliciting and using expert opinions about dropout bias in randomized controlled trials.Multiple imputation: current perspectives.Sensitivity analysis after multiple imputation under missing at random: a weighting approach.Biased and unbiased estimation in longitudinal studies with informative visit processes.Non-ignorable missingness in logistic regression.Testing treatment effect in schizophrenia clinical trials with heavy patient dropout using latent class growth mixture models.A scalable approach to measuring the impact of nonignorable nonresponse with an EMA application.Pattern mixture models for the analysis of repeated attempt designsType I Error Rates For A One Factor Within-Subjects Design With Missing Values.Sensitivity analysis for nonrandom dropout: a local influence approach.
P2860
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P2860
Selection models for repeated measurements with non-random dropout: an illustration of sensitivity.
description
1998 nî lūn-bûn
@nan
1998年の論文
@ja
1998年学术文章
@wuu
1998年学术文章
@zh
1998年学术文章
@zh-cn
1998年学术文章
@zh-hans
1998年学术文章
@zh-my
1998年学术文章
@zh-sg
1998年學術文章
@yue
1998年學術文章
@zh-hant
name
Selection models for repeated ...... n illustration of sensitivity.
@en
Selection models for repeated ...... n illustration of sensitivity.
@nl
type
label
Selection models for repeated ...... n illustration of sensitivity.
@en
Selection models for repeated ...... n illustration of sensitivity.
@nl
prefLabel
Selection models for repeated ...... n illustration of sensitivity.
@en
Selection models for repeated ...... n illustration of sensitivity.
@nl
P1476
Selection models for repeated ...... n illustration of sensitivity.
@en
P2093
Kenward MG
P304
P356
10.1002/(SICI)1097-0258(19981215)17:23<2723::AID-SIM38>3.0.CO;2-5
P407
P577
1998-12-01T00:00:00Z