Design and relative efficiency in two-phase studies

DOI10.1016/j.jspi.2012.04.013zbMath1334.62027OpenAlexW1991937861MaRDI QIDQ453009

Jerald F. Lawless, Yang Zhao, Donald L. McLeish

Publication date: 18 September 2012

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2012.04.013

zbMATH Keywords

asymptotic relative efficiencymaximum likelihoodexpensive variablenormal modelone-phase designsurrogate variabletwo-phase design

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Sampling theory, sample surveys (62D05) Sequential statistical design (62L05)

Related Items (1)

Semiparametric estimator for a secondary analysis with correlated outcomes

Cites Work

• Multistage sampling for latent variable models
• Optimal design for epidemiological studies subject to designed missingness
• Theory and inference for regression models with missing responses and covariates
• Logistic regression for two-stage case-control data
• Inference and missing data
• Semiparametric Methods for Response-Selective and Missing Data Problems in Regression
• A Pseudoscore Estimator for Regression Problems With Two-Phase Sampling
• Design and Analysis of Two-Phase Studies with Binary Outcome Applied to Wilms Tumour Prognosis
• A mean score method for missing and auxiliary covariate data in regression models
• Likelihood Methods for Regression Models with Expensive Variables Missing by Design

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