Practical recommendations for reporting Fine-Gray model analyses for competing risk data-Reference-Cited by-同舟云学术

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Practical recommendations for reporting Fine-Gray model analyses for competing risk data

Published:2017-09-15 Issue:27 Volume:36 Page:4391-4400
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Austin Peter C.¹²³^ORCID,Fine Jason P.⁴⁵

Affiliation:

1. Institute for Clinical Evaluative Sciences; Toronto Ontario Canada

2. Institute of Health Policy, Management and Evaluation; University of Toronto; Toronto Ontario Canada

3. Schulich Heart Research Program; Sunnybrook Research Institute; Toronto Ontario Canada

4. Department of Biostatistics; University of North Carolina; Chapel Hill North Carolina USA

5. Department of Statistics and Operations Research; University of North Carolina; Chapel Hill North Carolina USA

Funder

Heart and Stroke Foundation of Canada

Canadian Institutes of Health Research

Ontario Ministry of Health and Long-Term Care

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference18 articles.

1. Nonparametric estimation from incomplete observations;Kaplan;J Am Stat Assoc,1958

2. Regression models and life tables (with discussion);Cox;J Royal Stat Soc - Series B,1972

3. Effectiveness of public report cards for improving the quality of cardiac care: the EFFECT study: a randomized trial;Tu;JAMA,2009

4. Introduction to the analysis of survival data in the presence of competing risks;Austin;Circulation,2016

5. Competing risk regression models for epidemiologic data;Lau;Am J Epidemiol,2009

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