Zobrazeno 1 - 10 of 38 pro vyhledávání: '"Crude Probability of Death"'
1
Akademický článek
Non-parametric estimation of reference adjusted, standardised probabilities of all-cause death and death due to cancer for population group comparisons
Autor: Mark J. Rutherford, Therese M.-L. Andersson, Tor Åge Myklebust, Bjørn Møller, Paul C. Lambert
Publikováno v: BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-9 (2022)
Abstract Background Ensuring fair comparisons of cancer survival statistics across population groups requires careful consideration of differential competing mortality due to other causes, and adjusting for imbalances over groups in other prognostic
Externí odkaz: https://doaj.org/article/c6e68e1605004a82942c98ab20276664
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2
Akademický článek
Summarizing and communicating on survival data according to the audience: a tutorial on different measures illustrated with population-based cancer registry data
Autor: Belot A, Ndiaye A, Luque-Fernandez MA, Kipourou DK, Maringe C, Rubio FJ, Rachet B
Publikováno v: Clinical Epidemiology, Vol Volume 11, Pp 53-65 (2019)
Aurélien Belot, Aminata Ndiaye, Miguel-Angel Luque-Fernandez, Dimitra-Kleio Kipourou, Camille Maringe, Francisco Javier Rubio, Bernard Rachet Cancer Survival Group, Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Pop
Externí odkaz: https://doaj.org/article/969160990114457fafad6446280db4f2
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3
Akademický článek
Nonparametric Relative Survival Analysis with the R Package relsurv
Autor: Maja Pohar Perme, Klemen Pavlic
Publikováno v: Journal of Statistical Software, Vol 87, Iss 1, Pp 1-27 (2018)
Relative survival methods are crucial with data in which the cause of death information is either not given or inaccurate, but cause-specific information is nevertheless required. This methodology is standard in cancer registry data analysis and can
Externí odkaz: https://doaj.org/article/60ff5b6595dd4e3aa2d27f93dfd1fa6a
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4
Akademický článek
Summarizing and Communicating on Survival Data According to the Audience: A Tutorial on Different Measures Illustrated with Population-Based Cancer Registry Data [Corrigendum]
Autor: Belot A, Ndiaye A, Luque-Fernandez MA, Kipourou DK, Maringe C, Rubio FJ, Rachet B
Publikováno v: Clinical Epidemiology, Vol Volume 12, Pp 889-890 (2020)
Belot A, Ndiaye A, Luque-Fernandez MA, et al. Clin Epidemiol. 2019;11:53–65. Page 57, Number of life years lost (NLYL) section, left column, the sentence “where the quantity 1–FP(t) can be replaced by SP(t), ie, the classical survival function
Externí odkaz: https://doaj.org/article/422c6651a2d54a51976d1381daec8de4
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5
Non-parametric estimation of reference adjusted, standardised probabilities of all-cause death and death due to cancer for population group comparisons
Autor: Bjørn Møller, Tor Åge Myklebust, Therese M.-L. Andersson, Mark J. Rutherford, Paul Lambert
Publikováno v: BMC Medical Research Methodology, Vol 22, Iss 1, Pp 1-9 (2022)
BMC Medical Research Methodology
Background Ensuring fair comparisons of cancer survival statistics across population groups requires careful consideration of differential competing mortality due to other causes, and adjusting for imbalances over groups in other prognostic covariate
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cc9c1cc1061a243a3eb382f64d93ce3
https://doaj.org/article/c6e68e1605004a82942c98ab20276664
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6
Akademický článek
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7
Akademický článek
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8
Direct modeling of the crude probability of cancer death and the number of life years lost due to cancer without the need of cause of death: a pseudo-observation approach in the relative survival setting
Autor: Bernard Rachet, Maja Pohar Perme, Aurélien Belot, Dimitra-Kleio Kipourou
Publikováno v: Biostatistics
Biostatistics (Oxford, England)
Summary In population-based cancer studies, net survival is a crucial measure for population comparison purposes. However, alternative measures, namely the crude probability of death (CPr) and the number of life years lost (LYL) due to death accordin
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a67167362774948b23f9716c6b800c2d
https://researchonline.lshtm.ac.uk/id/eprint/4656786/1/BIOSTS-18312.R2_Proof_hi.pdf
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9
Nonparametric Relative Survival Analysis with the R Package relsurv
Autor: Klemen Pavlič, Maja Pohar Perme
Publikováno v: Journal of Statistical Software, Vol 87, Iss 1, Pp 1-27 (2018)
Journal of Statistical Software; Vol 87 (2018); 1-27
Relative survival methods are crucial with data in which the cause of death information is either not given or inaccurate, but cause-specific information is nevertheless required. This methodology is standard in cancer registry data analysis and can
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4caa60283a4e7c45c3aa99d0142017c2
https://www.jstatsoft.org/index.php/jss/article/view/2680
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10
Akademický článek
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