Zobrazeno 1 - 10
of 22
pro vyhledávání: '"CENSUR Working Survival Group"'
Autor:
Robert Darlin Mba, Juste Aristide Goungounga, Nathalie Grafféo, Roch Giorgi, CENSUR working survival group
Publikováno v:
BMC Medical Research Methodology, Vol 20, Iss 1, Pp 1-14 (2020)
Abstract Background Methods for estimating relative survival are widely used in population-based cancer survival studies. These methods are based on splitting the observed (the overall) mortality into excess mortality (due to cancer) and background m
Externí odkaz:
https://doaj.org/article/90a6904675c941d78db1c06744442473
Autor:
GRELL EUROCARE-5 Working Group, CENSUR Working Survival Group, Uhry, Zoé, Bossard, Nadine, Remontet, Laurent, Iwaz, Jean, Roche, Laurent
Publikováno v:
European Journal of Cancer Prevention, 2017 Jan 01. 26, 9-15.
Externí odkaz:
https://www.jstor.org/stable/48504521
Autor:
Touraine, C, Grafféo, N, Giorgi, R, and the CENSUR working survival group, CENSUR working survival group
Publikováno v:
Statistical Methods in Medical Research; Jan2020, Vol. 29 Issue 1, p122-136, 15p
Publikováno v:
Statistical Methods in Medical Research; Jun2021, Vol. 30 Issue 6, p1538-1553, 16p
Autor:
Remontet, Laurent, Uhry, Zoé, Bossard, Nadine, Iwaz, Jean, Belot, Aurélien, Danieli, Coraline, Charvat, Hadrien, Roche, Laurent, CENSUR Working Survival Group
Cancer survival trend analyses are essential to describe accurately the way medical practices impact patients' survival according to the year of diagnosis. To this end, survival models should be able to account simultaneously for non-linear and non-p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::05489034178262c027088c5cf48e8fd5
Publikováno v:
Statistical Methods in Medical Research; Jun2020, Vol. 29 Issue 6, p1612-1623, 12p
Autor:
Charvat, Hadrien, Remontet, Laurent, Bossard, Nadine, Roche, Laurent, Dejardin, Olivier, Rachet, Bernard, Launoy, Guy, Belot, Aurélien, CENSUR Working Survival Group
The excess hazard regression model is an approach developed for the analysis of cancer registry data to estimate net survival, that is, the survival of cancer patients that would be observed if cancer was the only cause of death. Cancer registry data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::b1061cc2bdb4bd341ac61a6b43b24a7f
https://researchonline.lshtm.ac.uk/id/eprint/2534034/1/TO-Research-Online.zip
https://researchonline.lshtm.ac.uk/id/eprint/2534034/1/TO-Research-Online.zip
Autor:
Remontet, Laurent, Uhry, Zoé, Bossard, Nadine, Iwaz, Jean, Belot, Aurélien, Danieli, Coraline, Charvat, Hadrien, Roche, Laurent, CENSUR Working Survival Group
Publikováno v:
Statistical Methods in Medical Research; Aug2019, Vol. 28 Issue 8, p2368-2384, 17p
Autor:
Goungounga, Juste Aristide, Touraine, Célia, Grafféo, Nathalie, Giorgi, Roch, CENSUR working survival group
Publikováno v:
BMC Medical Research Methodology; 5/16/2019, Vol. 19 Issue 1, p1-14, 14p, 4 Charts, 2 Graphs
Autor:
Mba, Robert Darlin, Goungounga, Juste Aristide, Grafféo, Nathalie, Giorgi, Roch, CENSUR working survival group
Publikováno v:
BMC Medical Research Methodology; 10/29/2020, Vol. 20 Issue 1, pN.PAG-N.PAG, 1p