Problems in dealing with missing data and informative censoring in clinical trials by Shih Weichung

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Bayesian Estimation of Log-Normal Distribution Under Ranked Set Sampling With Missing Data by Fengxi Zong, Rubing Li

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Associations between modifiable risk factors and cognitive function in middle-aged and older Chinese adults: joint modelling of longitudinal and survival data by Qin Ran, Fang Yang, Qin Su, Peng Li, Yaoyue Hu

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Enhancing imputation accuracy for catch-all missing data mechanisms with DFBETAS and leverage by Fares Qeadan, William A. Barbeau

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Estimation and inference for multi-kink expectile regression with nonignorable dropout by Dongyu Li, Lei Wang

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Impact on Cronbach's alpha of simple treatment methods for missing data by Béland, Sébastien, Pichette, Francois, Jolani, S.

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What impact do assumptions about missing data have on conclusions? A practical sensitivity analysis for a cancer survival registry by M. Smuk, J. R. Carpenter, T. P. Morris

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A simplified eye-opener on managing missing data and in evaluation of non-response bias in medical research: a narrative review by P. K. B. Mahesh, Wasantha Gunathunga, Mahendra arnold, S. B. Munasinghe, Sinha De Silva

Subjects: “…missing data, missing completely at random, missing at random, not missing at random, non response bias…”
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Joint Models for Incomplete Longitudinal Data and Time-to-Event Data by Yuriko Takeda, Toshihiro Misumi, Kouji Yamamoto

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Impute the missing data using retrieved dropouts by Shuai Wang, Haoyan Hu

Subjects: “…Missing not at random…”
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Impact of simple substitution methods for missing data on Classical test theory difficulty and discrimination by Béland, Sébastien, Jolani, Shahab, Pichette, Fran{\c {c}}ois, Renaud, Jean-Sébastien

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Regularized Mislevy-Wu Model for Handling Nonignorable Missing Item Responses by Alexander Robitzsch

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Filling the gap in food and nutrition security data: What imputation method is best for Africa's food and nutrition security? by Adusei Bofa, Temesgen Zewotir

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Accounting for expected attrition in the planning of cluster randomized trials for assessing treatment effect heterogeneity by Jiaqi Tong, Fan Li, Michael O. Harhay, Guangyu Tong

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Heckman imputation models for binary or continuous MNAR outcomes and MAR predictors by Jacques-Emmanuel Galimard, Sylvie Chevret, Emmanuel Curis, Matthieu Resche-Rigon

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Comparison of Different LGM-Based Methods with MAR and MNAR Dropout Data by Meijuan Li, Meijuan Li, Nan Chen, Yang Cui, Hongyun Liu, Hongyun Liu

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Doubly Robust Estimation and Semiparametric Efficiency in Generalized Partially Linear Models with Missing Outcomes by Lu Wang, Zhongzhe Ouyang, Xihong Lin

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Association between surgery with anesthesia and cognitive decline in older adults: Analysis using shared parameter models for informative dropout by Katrina L. Devick, Juraj Sprung, Michelle Mielke, Ronald C. Petersen, Phillip J. Schulte

Subjects: “…Missing not at random (MNAR)…”
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Multiple imputation and direct estimation for qPCR data with non-detects by Valeriia Sherina, Helene R. McMurray, Winslow Powers, Harmut Land, Tanzy M. T. Love, Matthew N. McCall

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Accounting for bias due to outcome data missing not at random: comparison and illustration of two approaches to probabilistic bias analysis: a simulation study by Emily Kawabata, Daniel Major-Smith, Gemma L. Clayton, Chin Yang Shapland, Tim P. Morris, Alice R. Carter, Alba Fernández-Sanlés, Maria Carolina Borges, Kate Tilling, Gareth J. Griffith, Louise A. C. Millard, George Davey Smith, Deborah A. Lawlor, Rachael A. Hughes

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