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pro vyhledávání: '"Sarwar, I."'
When interested in a time-to-event outcome, competing events that prevent the occurrence of the event of interest may be present. In the presence of competing events, various statistical estimands have been suggested for defining the causal effect of
Externí odkaz:
http://arxiv.org/abs/2109.03628
Publikováno v:
BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-16 (2022)
Abstract Background When interested in a time-to-event outcome, competing events that prevent the occurrence of the event of interest may be present. In the presence of competing events, various estimands have been suggested for defining the causal e
Externí odkaz:
https://doaj.org/article/0802e5aa161b4a10964362deed94faff
Publikováno v:
BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-20 (2021)
Abstract Background Royston-Parmar flexible parametric survival models (FPMs) can be fitted on either the cause-specific hazards or cumulative incidence scale in the presence of competing risks. An advantage of modelling within this framework for com
Externí odkaz:
https://doaj.org/article/8dd1d954dc8c4ac4a644738dac391904
Publikováno v:
In Cancer Epidemiology February 2019 58:17-24
Autor:
Syriopoulou, Elisavet1 (AUTHOR) elisavet.syriopoulou@ki.se, Mozumder, Sarwar I.2 (AUTHOR), Rutherford, Mark J.2 (AUTHOR), Lambert, Paul C.1,2 (AUTHOR)
Publikováno v:
BMC Medical Research Methodology. 8/13/2022, Vol. 22 Issue 1, p1-16. 16p.
Akademický článek
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Publikováno v:
BMC Medical Research Methodology. 3/11/2021, Vol. 21 Issue 1, p1-20. 20p.
Autor:
Richard D. Riley, Gary S. Collins, Joie Ensor, Lucinda Archer, Sarah Booth, Sarwar I. Mozumder, Mark J. Rutherford, Maarten Smeden, Paul C. Lambert, Kym I. E. Snell
Publikováno v:
Statistics in medicineREFERENCES. 41(7)
Previous articles in Statistics in Medicine describe how to calculate the sample size required for external validation of prediction models with continuous and binary outcomes. The minimum sample size criteria aim to ensure precise estimation of key
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::34f8a03dd36037a691e4680bf0ed518b
https://pubmed.ncbi.nlm.nih.gov/34915593
https://pubmed.ncbi.nlm.nih.gov/34915593
Akademický článek
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Background When interested in a time-to-event outcome, competing events that prevent the occurrence of the event of interest may be present. In the presence of competing events, various estimands have been suggested for defining the causal effect of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::231be85fcb26018d9bfbb65b7c7c1083