Trial emulation and survival analysis for disease incidence registers: A case study on the causal effect of pre‐emptive kidney transplantation

Author:

Olarte Parra Camila12ORCID,Waernbaum Ingeborg3ORCID,Schön Staffan4,Goetghebeur Els1ORCID

Affiliation:

1. Department of Applied Mathematics, Computer Science and Statistics Ghent University Ghent Belgium

2. Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academisch Medisch Centrum University of Amsterdam Amsterdam The Netherlands

3. Department of Statistics Uppsala University Uppsala Sweden

4. Swedish Renal Registry Jönköping County Hospital Jönköping Sweden

Funder

H2020 Marie Skłodowska-Curie Actions

Vetenskapsrådet

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Reference56 articles.

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2. McGinnisJM OlsenL.Redesigning the clinical effectiveness research paradigm: innovation and practice‐based approaches: workshop summary;2010; National Academies Press.

3. Extending inferences from a randomized trial to a new target population

4. AgencyEM.ICH E9 (R1) addendum on estimands and sensitivity analysis in clinical trials to the guideline on statistical principles for clinical trials;2017.

5. Temporal recalibration for improving prognostic model development and risk predictions in settings where survival is improving over time

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