Analysis of time‐to‐event for observational studies: Guidance to the use of intensity models-Reference-Cited by-同舟云学术

Analysis of time‐to‐event for observational studies: Guidance to the use of intensity models

Published:2020-10-11 Issue:1 Volume:40 Page:185-211
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Kragh Andersen Per¹^ORCID,Pohar Perme Maja²^ORCID,Houwelingen Hans C.³,Cook Richard J.⁴^ORCID,Joly Pierre⁵,Martinussen Torben¹,Taylor Jeremy M. G.⁶,Abrahamowicz Michal⁷^ORCID,Therneau Terry M.⁸

Affiliation:

1. Section of Biostatistics University of Copenhagen Copenhagen Denmark

2. Department of Biostatistics and Medical Informatics, Medical faculty University of Ljubljana Ljubljana Slovenia

3. Department of Biomedical Data Sciences Leiden University Leiden The Netherlands

4. Department of Statistics and Actuarial Science University of Waterloo Waterloo Ontario Canada

5. Inserm, ISPED, Bordeaux Populations Health Research Center University of Bordeaux Bordeaux France

6. Department of Biostatistics University of Michigan Ann Arbor Michigan USA

7. Department of Epidemiology, Biostatistics and Occupational Health McGill University Montreal, Quebec Canada

8. Division of Biomedical Statistics and Informatics Mayo Clinic Rochester New York USA

Funder

Canadian Institutes of Health Research

Javna Agencija za Raziskovalno Dejavnost RS

Natural Sciences and Engineering Research Council of Canada

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.8757

Reference68 articles.

1. Review of survival analyses published in cancer journals

2. STRengthening Analytical Thinking for Observational Studies: the STRATOS initiative

3. Lithium Treatment and Risk of Dementia

4. Immortal Time Bias in Pharmacoepidemiology

5. Analysis of survival by tumor response.

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