Multiple imputation of missing data with skip-pattern covariates: a comparison of alternative strategies.

Zhang G, He Y, Cai B, Moriarity C, Shin HC, Parsons V, Irimata KE

DOI: 10.1080/00949655.2023.2293124
Published: 2023
Container: Journal of statistical computation and simulation
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1080/00949655.2023.2293124,
  title = {Multiple imputation of missing data with skip-pattern covariates: a comparison of alternative strategies.},
  author = {Zhang G and He Y and Cai B and Moriarity C and Shin HC and Parsons V and Irimata KE},
  year = {2023},
  journal = {Journal of statistical computation and simulation},
  doi = {10.1080/00949655.2023.2293124},
  url = {https://doi.org/10.1080/00949655.2023.2293124}
}

RIS

TY  - JOUR
TI  - Multiple imputation of missing data with skip-pattern covariates: a comparison of alternative strategies.
AU  - Zhang G
AU  - He Y
AU  - Cai B
AU  - Moriarity C
AU  - Shin HC
AU  - Parsons V
AU  - Irimata KE
PY  - 2023
JO  - Journal of statistical computation and simulation
DO  - 10.1080/00949655.2023.2293124
UR  - https://doi.org/10.1080/00949655.2023.2293124
ER  -

APA

G, Z., Y, H., B, C., C, M., HC, S., V, P., & KE, I. (2023). Multiple imputation of missing data with skip-pattern covariates: a comparison of alternative strategies.. Journal of statistical computation and simulation. https://doi.org/10.1080/00949655.2023.2293124

Source records

pubmed · retrieved 2026-09-25T17:22:37.229Z