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An EM algorithm for regression analysis with incomplete covariate information

https://doi.org/10.1080/10629360600565202
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/0471667196.ess0047.pub2openalex-snapshot
Annals of the Institute of Statistical Mathematics
inferredcites →https://doi.org/10.1007/s10463-006-0047-7openalex-snapshot
Semiparametric Maximum Likelihood for Missing Covariates in Parametric Regression
inferredcites →https://doi.org/10.1016/j.jspi.2004.04.006openalex-snapshot
On maximum likelihood estimation in parametric regression with missing covariates
inferredcites →https://doi.org/10.1093/biomet/63.3.581openalex-snapshot
Inference and missing data
inferredcites →https://doi.org/10.1093/biomet/83.4.916openalex-snapshot
A conditional model for incomplete covariates in parametric regression models
inferredcites →https://doi.org/10.1111/j.0006-341x.1999.00591.xopenalex-snapshot
Monte Carlo EM for Missing Covariates in Parametric Regression Models
inferredcites →https://doi.org/10.1111/j.2517-6161.1977.tb01600.xopenalex-snapshot
Maximum Likelihood from Incomplete Data Via the EM Algorithm

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.3976593openalex-extracted
Expectation Maximization Algorithm with Combinatorial Assumption
inferred← citeshttps://doi.org/10.1002/bimj.200810487openalex-snapshot
Likelihood Methods for Regression Models with Expensive Variables Missing by Design
inferred← citeshttps://doi.org/10.1002/cjs.11566openalex-snapshot
Empirical and conditional likelihoods for two‐phase studies
inferred← citeshttps://doi.org/10.1002/sim.9211openalex-snapshot
Two‐phase sample selection strategies for design and analysis in post‐genome‐wide association fine‐mapping studies
inferred← citeshttps://doi.org/10.1007/s10260-020-00530-wopenalex-snapshot
Semiparametric model for regression analysis with nonmonotone missing data
inferred← citeshttps://doi.org/10.1007/s10463-006-0047-7openalex-snapshot
Semiparametric Maximum Likelihood for Missing Covariates in Parametric Regression
inferred← citeshttps://doi.org/10.1007/s10985-016-9386-8openalex-snapshot
Two-phase outcome-dependent studies for failure times and testing for effects of expensive covariates
inferred← citeshttps://doi.org/10.1080/00949650903359848openalex-snapshot
A gradient-based algorithm for semiparametric models with missing covariates
inferred← citeshttps://doi.org/10.1109/iccie.2010.5668453openalex-snapshot
Small sample regression: Modeling with insufficient data
inferred← citeshttps://doi.org/10.1109/iiai-aai.2016.19openalex-snapshot
Modeling with Insufficient Data to Increase Prediction Stability
inferred← citeshttps://doi.org/10.11606/t.45.2011.tde-09052011-000104openalex-snapshot
Análise de dados categorizados com omissão em variáveis explicativas e respostas
inferred← citeshttps://doi.org/10.1177/0962280214565833openalex-snapshot
Likelihood-based methods for evaluating principal surrogacy in augmented vaccine trials
inferred← citeshttps://doi.org/10.1177/1471082x14549290openalex-snapshot
Semi-parametric Bayesian analysis of binary responses with a continuous covariate subject to non-random missingness
inferred← citeshttps://doi.org/10.82465/5554openalex-snapshot
Semiparametric methods for regression analysis with missing responses and auxiliary information.
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