The “Why” behind including “Y” in your imputation model

Article Properties
  • Language
    English
  • Publication Date
    2024/04/16
  • Indian UGC (journal)
  • Refrences
    32
  • Lucy D’Agostino McGowan Department of Statistical Sciences, Wake Forest University, Winston-Salem, NC, USA
  • Sarah C Lotspeich Department of Statistical Sciences, Wake Forest University, Winston-Salem, NC, USA
  • Staci A Hepler Department of Statistical Sciences, Wake Forest University, Winston-Salem, NC, USA
Abstract
Cite
D’Agostino McGowan, Lucy, et al. “The “Why” Behind Including ‘Y’ in Your Imputation Model”. Statistical Methods in Medical Research, 2024, https://doi.org/10.1177/09622802241244608.
D’Agostino McGowan, L., Lotspeich, S. C., & Hepler, S. A. (2024). The “Why” behind including “Y” in your imputation model. Statistical Methods in Medical Research. https://doi.org/10.1177/09622802241244608
D’Agostino McGowan L, Lotspeich SC, Hepler SA. The “Why” behind including “Y” in your imputation model. Statistical Methods in Medical Research. 2024;.
Journal Categories
Medicine
Medicine (General)
Computer applications to medicine
Medical informatics
Medicine
Medicine (General)
Medical technology
Science
Biology (General)
Science
Mathematics
Science
Mathematics
Probabilities
Mathematical statistics
Refrences
Title Journal Journal Categories Citations Publication Date
Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study BMJ 595 2007
Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study 2011
Statistical analysis with missing data 2019
Statistical analysis with missing data 2013
Multiple imputation for nonresponse in surveys 2004