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Clinical Epidemiology Volume 5, 2013 - Issue

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Original Research

Methods and rationale used in a matched cohort study of the incidence of new primary cancers following prostate cancer

Deirdre P Cronin-Fenton1 Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, DenmarkCorrespondence[email protected]

Sussie Antonsen1 Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark

Karynsa Cetin2 Center for Observational Research, Amgen Incorporated, Thousand Oaks, CA, USA

John Acquavella2 Center for Observational Research, Amgen Incorporated, Thousand Oaks, CA, USA

Andre Daniels3 Global Regulatory Affairs and Safety, Amgen Incorporated, Thousand Oaks, CA, USA

Timothy L Lash1 Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark;4 Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, USA

Pages 429-437 | Published online: 31 Oct 2013

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Articles from other publishers (5)

Mette Bagger, Vanna Albieri, Tine Gadegaard Hindso, Karin Wadt, Steffen Heegaard, Klaus Kaae Andersen & Jens Folke Kiilgaard. (2022) Risk of New Primary Cancer in Patients with Posterior Uveal Melanoma: A National Cohort Study. Cancers 14:2, pages 284.
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Cristina Boschini, Klaus K. Andersen, Hélène Jacqmin‐Gadda, Pierre Joly & Thomas H. Scheike. (2020) Excess cumulative incidence estimation for matched cohort survival studies. Statistics in Medicine 39:20, pages 2606-2620.
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Cristina Boschini, Klaus K Andersen & Thomas H Scheike. (2018) Excess risk estimation for matched cohort survival data. Statistical Methods in Medical Research 28:10-11, pages 3451-3465.
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Tomohiro Shinozaki & Mohammad Ali Mansournia. (2019) Hazard Ratio Estimators after Terminating Observation within Matched Pairs in Sibling and Propensity Score Matched Designs. The International Journal of Biostatistics 15:1.
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Rinku Sutradhar, Nancy N. Baxter & Peter C. Austin. (2016) Terminating observation within matched pairs of subjects in a matched cohort analysis: a Monte Carlo simulation study. Statistics in Medicine 35:2, pages 294-304.
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