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Using the Weibull accelerated failure time regression model to predict time to health events

View ORCID ProfileEnwu Liu, View ORCID ProfileKaren Lim
doi: https://doi.org/10.1101/362186
Enwu Liu
1Musculoskeletal Health and Ageing Research Program, Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
2College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia
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Karen Lim
1Musculoskeletal Health and Ageing Research Program, Mary MacKillop Institute for Health Research, Australian Catholic University, Melbourne, Victoria, Australia
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Abstract

We describe a statistical method protocol to use a Weibull accelerated failure time (AFT) model to predict time to a health-related event. This prediction method is quite common in engineering reliability research but rarely used for medical predictions such as survival time. A worked example for how to perform the prediction using a published dataset is included.

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The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY 4.0 International license.
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Posted August 27, 2018.
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Using the Weibull accelerated failure time regression model to predict time to health events
Enwu Liu, Karen Lim
bioRxiv 362186; doi: https://doi.org/10.1101/362186
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Using the Weibull accelerated failure time regression model to predict time to health events
Enwu Liu, Karen Lim
bioRxiv 362186; doi: https://doi.org/10.1101/362186

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