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pro vyhledávání: '"Rachet Bernard"'
In epidemiology research with cancer registry data, it is often of primary interest to make inference on cancer death, not overall survival. Since cause of death is not easy to collect or is not necessarily reliable in cancer registries, some special
Externí odkaz:
http://arxiv.org/abs/2303.09141
Autor:
Zepeda-Tello, Rodrigo, Schomaker, Michael, Maringe, Camille, Smith, Matthew J., Belot, Aurelien, Rachet, Bernard, Schnitzer, Mireille E., Luque-Fernandez, Miguel Angel
Approximate statistical inference via determination of the asymptotic distribution of a statistic is routinely used for inference in applied medical statistics (e.g. to estimate the standard error of the marginal or conditional risk ratio). One metho
Externí odkaz:
http://arxiv.org/abs/2206.15310
Autor:
Aggarwal, Ajay *, Simcock, Richard, Price, Pat, Rachet, Bernard, Lyratzopoulos, Georgios, Walker, Kate, Spencer, Katie, Roques, Tom, Sullivan, Richard
Publikováno v:
In The Lancet Oncology August 2024 25(8):e363-e373
Publikováno v:
In Cancer Epidemiology June 2024 90
Tutorial: Introduction to computational causal inference using reproducible Stata, R and Python code
Autor:
Smith, Matthew J., Maringe, Camille, Rachet, Bernard, Mansournia, Mohammad A., Zivich, Paul N., Cole, Stephen R., Luque-Fernandez, Miguel Angel
The purpose of many health studies is to estimate the effect of an exposure on an outcome. It is not always ethical to assign an exposure to individuals in randomised controlled trials, instead observational data and appropriate study design must be
Externí odkaz:
http://arxiv.org/abs/2012.09920
Autor:
Coleman Michel P, Khachatryan Artak, Sherlaw-Johnson Chris, Gonzalez-Izquierdo Arturo, McCarthy Mark, Rachet Bernard
Publikováno v:
BMC Health Services Research, Vol 8, Iss 1, p 45 (2008)
Abstract Background In 2000, the national cancer plan for England created 34 cancer networks, new organisational structures to coordinate services across populations varying between a half and three million people. We investigated the availability of
Externí odkaz:
https://doaj.org/article/394d18eea80f4d2aa5cd764f8ff945a5
In cancer epidemiology using population-based data, regression models for the excess mortality hazard is a useful method to estimate cancer survival and to describe the association between prognosis factors and excess mortality. This method requires
Externí odkaz:
http://arxiv.org/abs/1904.08672
Autor:
Saito, Mari Kajiwara, Nakata, Kayo, Kato, Mizuki, Kuwabara, Yoshihiro, Morishima, Toshitaka, Rachet, Bernard, Miyashiro, Isao
Publikováno v:
In Cancer Epidemiology August 2022 79
Autor:
van Maaren, Marissa C., Rachet, Bernard, Sonke, Gabe S., Mauguen, Audrey, Rondeau, Virginie, Siesling, Sabine, Belot, Aurélien
Publikováno v:
In Cancer Epidemiology April 2022 77
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