Comparing regression modeling strategies for predicting hometime.

Journal: BMC medical research methodology
Published Date: Jul 7, 2021

Abstract

BACKGROUND: Hometime, the total number of days a person is living in the community (not in a healthcare institution) in a defined period of time after a hospitalization, is a patient-centred outcome metric increasingly used in healthcare research. Hometime exhibits several properties which make its statistical analysis difficult: it has a highly non-normal distribution, excess zeros, and is bounded by both a lower and upper limit. The optimal methodology for the analysis of hometime is currently unknown.

Authors

  • Jessalyn K Holodinsky
    Department of Clinical Neurosciences, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive NW, Calgary, AB, T2N4N1, Canada. jkholodi@ucalgary.ca.
  • Amy Y X Yu
    ICES, Toronto, ON, Canada.
  • Moira K Kapral
    ICES, Toronto, ON, Canada.
  • Peter C Austin
    Institute for Clinical Evaluative Service (ICES), Toronto, Ontario, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Ontario, Canada.

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