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Regression modeling of time-to-event data with censoring

Nature Methods volume 19, pages 1513–1515 (2022)Cite this article

If you sit on the sofa for your entire life, you’re running a higher risk of getting heart disease and cancer. —Alex Honnold, American rock climber

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Fig. 1: Simulated survival curves from a putative study with n = 500 subjects in which both treatment and BMI are suspected to affect survival.
Fig. 2: Survival probability and hazard rate, h(t), derived from the regression model of simulated data in Fig. 1.

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Authors and Affiliations

  1. Center for Surgery & Public Health, Department of Surgery, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA

    Tanujit Dey, Stuart R. Lipsitz, Zara Cooper & Quoc-Dien Trinh

  2. Canada’s Michael Smith Genome Sciences Centre, Vancouver, British Columbia, Canada

    Martin Krzywinski

  3. Department of Statistics, The Pennsylvania State University, State College, PA, USA

    Naomi Altman

Authors
  1. Tanujit Dey
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  2. Stuart R. Lipsitz
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  3. Zara Cooper
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  4. Quoc-Dien Trinh
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  5. Martin Krzywinski
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  6. Naomi Altman
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Correspondence to Martin Krzywinski.

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Dey, T., Lipsitz, S.R., Cooper, Z. et al. Regression modeling of time-to-event data with censoring. Nat Methods 19, 1513–1515 (2022). https://doi.org/10.1038/s41592-022-01689-8

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