A varying-coefficient method for analyzing longitudinal clinical trials data with nonignorable dropout

Jeri E. Forster; Samantha MaWhinney; Erika L. Ball; Diane L. Fairclough

doi:10.1016/j.cct.2011.11.009

ScienceGate Book Chapters

JOURNAL ARTICLE

A varying-coefficient method for analyzing longitudinal clinical trials data with nonignorable dropout

Jeri E. Forster Samantha MaWhinney Erika L. Ball Diane L. Fairclough

Year: 2011 Journal: Contemporary Clinical Trials Vol: 33 (2)Pages: 378-385 Publisher: Elsevier BV

DOI: 10.1016/j.cct.2011.11.009

Get Full-Text PDF Get Analytical Report

Keywords:

Dropout (neural networks) Outcome (game theory) Parametric statistics Econometrics Statistics Inference Random effects model Medicine Mathematics Computer science Machine learning Artificial intelligence

Metrics

Cited By

0.27

FWCI (Field Weighted Citation Impact)

Refs

0.62

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Statistical Methods in Clinical Trials

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Inference

Physical Sciences → Mathematics → Statistics and Probability

Statistical Methods and Bayesian Inference

Physical Sciences → Mathematics → Statistics and Probability

A varying-coefficient method for analyzing longitudinal clinical trials data with nonignorable dropout

Metrics

Citation History

Topics

Related Documents

Mixtures of semiparametric varying coefficient models for longitudinal data with nonignorable dropout

Mixtures of Varying Coefficient Models for Longitudinal Data with Discrete or Continuous Nonignorable Dropout

Empirical likelihood inference in mixtures of semiparametric varying coefficient EV models for longitudinal data with nonignorable dropout

Marginalized models for longitudinal ordinal data with nonignorable dropout

Model‐Assisted Regression Estimators for Longitudinal Data with Nonignorable Dropout