Literature DB >> 24421412

Proportional likelihood ratio models for mean regression.

Alan Huang1, Paul J Rathouz2.   

Abstract

The proportional likelihood ratio model introduced in Luo & Tsai (2011) is adapted to explicitly model the means of observations. This is useful for the estimation of and inference on treatment effects, particularly in designed experiments, and allows the data analyst greater control over model specification and parameter interpretation.

Entities:  

Keywords:  Empirical likelihood; Exponential tilting; Generalized linear models; Multi-way layout; Proportional likelihood ratio model; Quasi-likelihood; Semiparametric model

Year:  2012        PMID: 24421412      PMCID: PMC3888642          DOI: 10.1093/biomet/asr075

Source DB:  PubMed          Journal:  Biometrika        ISSN: 0006-3444            Impact factor:   2.445


  1 in total

1.  Generalized linear models with unspecified reference distribution.

Authors:  Paul J Rathouz; Liping Gao
Journal:  Biostatistics       Date:  2008-09-29       Impact factor: 5.899

  1 in total
  5 in total

1.  Nuisance parameter elimination for proportional likelihood ratio models with nonignorable missingness and random truncation.

Authors:  Kwun Chuen Gary Chan
Journal:  Biometrika       Date:  2013       Impact factor: 2.445

2.  Likelihood approaches for proportional likelihood ratio model with right-censored data.

Authors:  Hong Zhu
Journal:  Stat Med       Date:  2014-02-06       Impact factor: 2.373

3.  Distributed learning for heterogeneous clinical data with application to integrating COVID-19 data across 230 sites.

Authors:  Jiayi Tong; Chongliang Luo; Md Nazmul Islam; Natalie E Sheils; John Buresh; Mackenzie Edmondson; Peter A Merkel; Ebbing Lautenbach; Rui Duan; Yong Chen
Journal:  NPJ Digit Med       Date:  2022-06-14

4.  Semiparametric density ratio modeling of survival data from a prevalent cohort.

Authors:  Hong Zhu; Jing Ning; Yu Shen; Jing Qin
Journal:  Biostatistics       Date:  2016-06-26       Impact factor: 5.279

5.  Stability Enhanced Variable Selection for a Semiparametric Model with Flexible Missingness Mechanism and Its Application to the ChAMP Study.

Authors:  Yang Yang; Jiwei Zhao; Gregory Wilding; Melissa Kluczynski; Leslie Bisson
Journal:  J Appl Stat       Date:  2019-08-24       Impact factor: 1.416

  5 in total

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