Zhang, F.; Petersen, M.; Johnson, L.; Hall, J.; Palmer, R.F.; O’Bryant, S.E.; on behalf of the Health and Aging Brain Study (HABS–HD) Study Team.
A Machine Learning-Based Multiple Imputation Method for the Health and Aging Brain Study–Health Disparities. Informatics 2023, 10, 77.
https://doi.org/10.3390/informatics10040077
AMA Style
Zhang F, Petersen M, Johnson L, Hall J, Palmer RF, O’Bryant SE, on behalf of the Health and Aging Brain Study (HABS–HD) Study Team.
A Machine Learning-Based Multiple Imputation Method for the Health and Aging Brain Study–Health Disparities. Informatics. 2023; 10(4):77.
https://doi.org/10.3390/informatics10040077
Chicago/Turabian Style
Zhang, Fan, Melissa Petersen, Leigh Johnson, James Hall, Raymond F. Palmer, Sid E. O’Bryant, and on behalf of the Health and Aging Brain Study (HABS–HD) Study Team.
2023. "A Machine Learning-Based Multiple Imputation Method for the Health and Aging Brain Study–Health Disparities" Informatics 10, no. 4: 77.
https://doi.org/10.3390/informatics10040077
APA Style
Zhang, F., Petersen, M., Johnson, L., Hall, J., Palmer, R. F., O’Bryant, S. E., & on behalf of the Health and Aging Brain Study (HABS–HD) Study Team.
(2023). A Machine Learning-Based Multiple Imputation Method for the Health and Aging Brain Study–Health Disparities. Informatics, 10(4), 77.
https://doi.org/10.3390/informatics10040077
