Dynamic predictions using flexible joint models of longitudinal and time-to-event data-Reference-Cited by-同舟云学术

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Dynamic predictions using flexible joint models of longitudinal and time-to-event data

Published:2017-01-22 Issue:9 Volume:36 Page:1447-1460
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statist. Med.

Author:

Barrett Jessica¹,Su Li²^ORCID

Affiliation:

1. Strangeways Research Laboratory, Department of Public Health and Primary Care; University of Cambridge; Worts Causeway Cambridge CB1 8RN U.K.

2. MRC Biostatistics Unit; School of Clinical Medicine, University of Cambridge Robinson Way; Cambridge CB2 0SR U.K.

Funder

Medical Research Council

Unit Programme

US Centers for Disease Control and Prevention

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference20 articles.

1. Joint modeling of survival and longitudinal non-survival data: current methods and issues. Report of the DIA Bayesian joint modeling working group;Gould;Statistics in Medicine,2015

2. Individulized prediction in prostate cancer studies using a joint longitudinal-surival-cure model;Yu;Journal of the American Statistical Association,2008

3. Development and validation of a dynamic prognostic tool for prostate cancer recurrence using repeated measures of posttreatment PSA: a joint modeling approach;Proust-Lima;Biostatistics,2009

4. Dynamic predictions and prospective accuracy in joint models for longitudinal and time-to-event data;Rizopoulos;Biometrics,2011

5. Real-time individual predictions of prostate cancer recurrence using joint models;Taylor;Biometrics,2013

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1. Penalized joint models of high-dimensional longitudinal biomarkers and a survival outcome;The Annals of Applied Statistics;2024-06-01

2. Dynamic risk prediction for cervical precancer screening with continuous and binary longitudinal biomarkers;The Annals of Applied Statistics;2024-03-01

3. On the importance of a clear definition of time horizon for time-to-event dynamic predictions: a systematic review and a concrete illustration in kidney transplantation;2024-02-14

4. Illustration of association between change in prostate-specific antigen (PSA) values and time to tumor status after treatment for prostate cancer patients: A joint modelling approach;2023-08-10

5. Dynamic predictions from longitudinal CD4 count measures and time to death of HIV/AIDS patients using a Bayesian joint model;Scientific African;2023-03

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