Evaluating Missing Data Imputation Strategies for Environmental Mixture Models: A Simulation Study and Applied Analysis.

Boafo YS, Mostafa S, Obeng-Gyasi E

DOI: 10.1080/26941899.2026.2696661
Published: 2026
Container: Data science in science
Publisher: Not recorded
Open access: yes

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BibTeX

@article{allodium:10.1080/26941899.2026.2696661,
  title = {Evaluating Missing Data Imputation Strategies for Environmental Mixture Models: A Simulation Study and Applied Analysis.},
  author = {Boafo YS and Mostafa S and Obeng-Gyasi E},
  year = {2026},
  journal = {Data science in science},
  doi = {10.1080/26941899.2026.2696661},
  url = {https://doi.org/10.1080/26941899.2026.2696661}
}

RIS

TY  - JOUR
TI  - Evaluating Missing Data Imputation Strategies for Environmental Mixture Models: A Simulation Study and Applied Analysis.
AU  - Boafo YS
AU  - Mostafa S
AU  - Obeng-Gyasi E
PY  - 2026
JO  - Data science in science
DO  - 10.1080/26941899.2026.2696661
UR  - https://doi.org/10.1080/26941899.2026.2696661
ER  -

APA

YS, B., S, M., & E, O. (2026). Evaluating Missing Data Imputation Strategies for Environmental Mixture Models: A Simulation Study and Applied Analysis.. Data science in science. https://doi.org/10.1080/26941899.2026.2696661

Source records

pubmed · retrieved 2026-09-26T07:16:10.669Z