Sage Journals: Discover world-class research

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Research article

First published 2008-02

Comparison of Two Approaches for Handling Missing Covariates in Logistic Regression

Chao-Ying Joanne Peng, Jin Zhu

Educational and Psychological Measurement

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Research article

First published 2020-8

Imputing missing time-dependent covariate values for the discrete time Cox model

Havi Murad, Rachel Dankner, Alla Berlin [...]

Statistical Methods in Medical Research

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Research article

First published 2011-4

Missing covariates in logistic regression,estimation and distribution selection

Fabrizio Consentino, Gerda Claeskens

Statistical Modelling

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Research article

First published 2019-6

Cox regression analysis with missing covariates via nonparametric multiple imputation

Chiu-Hsieh Hsu, Mandi Yu

Statistical Methods in Medical Research

Free access

Research article

First published 2012-12

A Generalized Missing-Indicator Approach to Regression with Imputed Covariates

Valentino Dardanoni, Giuseppe De Luca, Salvatore Modica [...]

The Stata Journal: Promoting communications on statistics and Stata

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Research article

First published 2025-10

Semiparametric regression analysis of interval-censored failure time data with a cure subgroup and nonignorable missing covariates

Yichen Lou, Mingyue Du, Peijie Wang [...]

Statistical Methods in Medical Research

Open access

Research article

First published 2017-6

Missing continuous outcomes under covariate dependent missingness in cluster randomised trials

Anower Hossain, Karla Diaz-Ordaz, Jonathan W Bartlett

Statistical Methods in Medical Research

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Research article

First published 2005-11

Missing values imputation for cDNA microarray data using ranked covariance vectors

Muhammad Shoaib B. Sehgal, Iqbal Gondal, Laurence S. Dooley

International Journal of Hybrid Intelligent Systems

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Research article

First published 2016-8

On analyzing ordinal data when responses and covariates are both missing at random

Subrata Rana, Surupa Roy, Kalyan Das

Statistical Methods in Medical Research

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Research article

First published 1999-02

Maximum likelihood analysis of generalized linear models with missing covariates

Nicholas J Horton, Nan M Laird

Statistical Methods in Medical Research

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