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1-10 of 224 results for missing covariate data

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

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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

Select article: Missing values imputation for cDNA microarray data using ranked covariance vectors

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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

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

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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

Select article: ML Estimation of Mean and Covariance Structures with Missing Data Using Complete Data Routines

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Research article

First published 1999-3

ML Estimation of Mean and Covariance Structures with Missing Data Using Complete Data Routines

Mortaza Jamshidian, Peter M. Bentler

Journal of Educational and Behavioral Statistics

Select article: Imputation of Missing Covariate Data Prior to Propensity Score Analysis: A Tutorial and Evaluation of the Robustness of Practical Approaches

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Research article

First published 2021-2

Imputation of Missing Covariate Data Prior to Propensity Score Analysis: A Tutorial and Evaluation of the Robustness of Practical Approaches

Walter L. Leite, Burak Aydin, Dee D. Cetin-Berber

Evaluation Review

Select article: Variable selection with missing data in both covariates and outcomes: Imputation and machine learning

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Research article

First published 2021-12

Variable selection with missing data in both covariates and outcomes: Imputation and machine learning

Liangyuan Hu, Jung-Yi Joyce Lin, Jiayi Ji

Statistical Methods in Medical Research

Select article: 5. Three Likelihood-Based Methods for Mean and Covariance Structure Analysis with Nonnormal Missing Data

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First published 2000-8

5. Three Likelihood-Based Methods for Mean and Covariance Structure Analysis with Nonnormal Missing Data

Ke-Hai Yuan, Peter M. Bentler

Sociological Methodology

Select article: Bayesian joint analysis using a semiparametric latent variable model with non-ignorable missing covariates for CHNS data

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Research article

First published 2021-8

Bayesian joint analysis using a semiparametric latent variable model with non-ignorable missing covariates for CHNS data

Zhihua Ma, Guanghui Chen

Statistical Modelling

Select article: Comparison of Two Approaches for Handling Missing Covariates in Logistic Regression

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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

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

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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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