Loading…
Missing Data in Clinical Research: A Tutorial on Multiple Imputation
Austin, Peter C., White, Ian R., Lee, Douglas S., van Buuren, Stef
Published in Canadian journal of cardiology (01.09.2021)
Published in Canadian journal of cardiology (01.09.2021)
Get full text
Journal Article
Loading…
Loading…
A multiple imputation‐based sensitivity analysis approach for regression analysis with a missing not at random covariate
Hsu, Chiu‐Hsieh, He, Yulei, Hu, Chengcheng, Zhou, Wei
Published in Statistics in medicine (30.06.2023)
Published in Statistics in medicine (30.06.2023)
Get full text
Journal Article
Loading…
Loading…
A multiple imputation‐based sensitivity analysis approach for data subject to missing not at random
Hsu, Chiu‐Hsieh, He, Yulei, Hu, Chengcheng, Zhou, Wei
Published in Statistics in medicine (20.11.2020)
Published in Statistics in medicine (20.11.2020)
Get full text
Journal Article
Loading…
Three‐phase generalized raking and multiple imputation estimators to address error‐prone data
Amorim, Gustavo, Tao, Ran, Lotspeich, Sarah, Shaw, Pamela A., Lumley, Thomas, Patel, Rena C., Shepherd, Bryan E.
Published in Statistics in medicine (30.01.2024)
Published in Statistics in medicine (30.01.2024)
Get full text
Journal Article
Loading…
Loading…
Multiple imputation for analysis of incomplete data in distributed health data networks
Chang, Changgee, Deng, Yi, Jiang, Xiaoqian, Long, Qi
Published in Nature communications (29.10.2020)
Published in Nature communications (29.10.2020)
Get full text
Journal Article
Loading…
Missing data in a multi-item instrument were best handled by multiple imputation at the item score level
Eekhout, Iris, de Vet, Henrica C.W., Twisk, Jos W.R., Brand, Jaap P.L., de Boer, Michiel R., Heymans, Martijn W.
Published in Journal of clinical epidemiology (01.03.2014)
Published in Journal of clinical epidemiology (01.03.2014)
Get full text
Journal Article
Loading…
Missing Data in Patient-Reported Outcomes Research: Utilizing Multiple Imputation to Address an Unavoidable Problem
Haglich, Kathryn, Stern, Carrie, Graziano, Francis D., Shamsunder, Meghana G., Boe, Lillian, Nelson, Jonas A.
Published in Annals of surgical oncology (01.12.2023)
Published in Annals of surgical oncology (01.12.2023)
Get full text
Journal Article
Loading…
Loading…
Loading…
Elucidating Age and Sex-Dependent Association Between Frontal EEG Asymmetry and Depression: An Application of Multiple Imputation in Functional Regression
Ciarleglio, Adam, Petkova, Eva, Harel, Ofer
Published in Journal of the American Statistical Association (02.01.2022)
Published in Journal of the American Statistical Association (02.01.2022)
Get full text
Journal Article
Loading…
1215Considerations for using multiple imputation in propensity score-weighted analysis
Eiset, Andreas Halgreen, Frydenberg, Morten
Published in International journal of epidemiology (01.09.2021)
Published in International journal of epidemiology (01.09.2021)
Get full text
Journal Article
Loading…
Loading…
Survival analysis with time-dependent covariates subject to missing data or measurement error: Multiple Imputation for Joint Modeling (MIJM)
Moreno-Betancur, Margarita, Carlin, John B, Brilleman, Samuel L, Tanamas, Stephanie K, Peeters, Anna, Wolfe, Rory
Published in Biostatistics (Oxford, England) (01.10.2018)
Published in Biostatistics (Oxford, England) (01.10.2018)
Get full text
Journal Article
Loading…
Loading…
Convergence Properties of a Sequential Regression Multiple Imputation Algorithm
Zhu, Jian, Raghunathan, Trivellore E.
Published in Journal of the American Statistical Association (01.09.2015)
Published in Journal of the American Statistical Association (01.09.2015)
Get full text
Journal Article
Loading…
A Bayesian multiple imputation approach to bivariate functional data with missing components
Jang, Jeong Hoon, Manatunga, Amita K., Chang, Changgee, Long, Qi
Published in Statistics in medicine (30.09.2021)
Published in Statistics in medicine (30.09.2021)
Get full text
Journal Article