Model selection criterion for causal parameters in structural mean models based on a quasi-likelihood
type: Item
instance of: scholarly article
title: Model selection criterion for causal parameters in structural mean models based on a quasi-likelihood
zbMATH Open document ID: 1299.62034
author: Masataka Taguri
author: Yutaka Matsuyama
author: Yasuo Ohashi
published in: Biometrics
publication date: 2014-11-04T00:00:00Z
Mathematics Subject Classification ID: 62G08
Mathematics Subject Classification ID: 65C60
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 6365505
zbMATH Keywords: Akaike's information criterion
zbMATH Keywords: causal inference
zbMATH Keywords: effect modification
zbMATH Keywords: G-estimation
zbMATH Keywords: instrumental variable
zbMATH Keywords: model selection
zbMATH Keywords: non-compliance
zbMATH Keywords: quasi-likelihood
zbMATH Keywords: structural mean models
MaRDI profile type: Publication
full work available at URL: biom.12165
OpenAlex ID: W1932914422
Wikidata QID: Q44879267
cites work: Q4769776
cites work: Identification of Causal Effects Using Instrumental Variables
cites work: Model Selection and Model Averaging
cites work: The Effect of Treatment Compliance in a Placebo-Controlled Trial: Regression with Unpaired Data
cites work: Structural mean models for compliance analysis in randomized clinical trials and the impact of errors on measures of exposure
cites work: Effect Modification in a Randomized Trial under Non-Ignorable Non-Compliance: An Application to the Alpha-Tocopherol Beta-Carotene Study
cites work: Q3716094
cites work: Akaike's Information Criterion in Generalized Estimating Equations
cites work: Correcting for non-compliance in randomized trials using structural nested mean models
cites work: Inference and missing data
cites work: Numerical Methods for Nonlinear Estimating Equations
cites work: Q4044015
DOI: 10.1111/BIOM.12165
description: scientific article; zbMATH DE number 6365505