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On Longitudinal Prediction with Time-to-Event Outcome: Comparison of Modeling Options

Long term follow-up is common in many medical investigations where the interest lies in predicting patients’ risks for a future adverse outcome using repeatedly measured predictors over time. A key quantity is the likelihood of developing an adverse outcome among individuals who survived up to time...

詳細記述

保存先:
書誌詳細
出版年:Biometrics
主要な著者: Maziarz, Marlena, Heagerty, Patrick, Cai, Tianxi, Zheng, Yingye
フォーマット: Artigo
言語:Inglês
出版事項: 2016
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5250577/
https://ncbi.nlm.nih.gov/pubmed/27438160
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.12562
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