Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Non-collapsibility"'
Publikováno v:
BMC Medical Research Methodology, Vol 24, Iss 1, Pp 1-16 (2024)
Abstract Background The hazard ratio of the Cox proportional hazards model is widely used in randomized controlled trials to assess treatment effects. However, two properties of the hazard ratio including the non-collapsibility and built-in selection
Externí odkaz:
https://doaj.org/article/f7e6de9e36a44ea0af8b9b8da9718614
Akademický článek
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Background Epidemiologists are generally interested in the effect of an exposure on an outcome. This so-called exposure effect is often estimated using regression analysis, in which the outcome is regressed on the exposure. The distribution of the ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::2e7e1c8a83c22014a5dcd9f9f8cf4da4
https://hdl.handle.net/1871.1/e99917e0-29de-4992-9575-aebe15ae87c7
https://hdl.handle.net/1871.1/e99917e0-29de-4992-9575-aebe15ae87c7
Background Epidemiologists are generally interested in the effect of an exposure on an outcome. This so-called exposure effect is often estimated using regression analysis, in which the outcome is regressed on the exposure. The distribution of the ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______4612::387459600bd7eaaf93a3f4a8f1d75c89
https://research.vu.nl/en/publications/e99917e0-29de-4992-9575-aebe15ae87c7
https://research.vu.nl/en/publications/e99917e0-29de-4992-9575-aebe15ae87c7
Autor:
Schuster, Noah Alexandra
Background Epidemiologists are generally interested in the effect of an exposure on an outcome. This so-called exposure effect is often estimated using regression analysis, in which the outcome is regressed on the exposure. The distribution of the ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::4f4a150c49adfabb6e5f35f161f1e10a
https://research.vu.nl/en/publications/e99917e0-29de-4992-9575-aebe15ae87c7
https://research.vu.nl/en/publications/e99917e0-29de-4992-9575-aebe15ae87c7
Autor:
Schuster, Noah Alexandra
Publikováno v:
Schuster, N A 2022, ' Bias in regression analysis : Problems and solutions ', PhD, Vrije Universiteit Amsterdam .
Schuster, N A 2022, ' Bias in regression analysis : Problems and solutions ', Doctor of Philosophy . < https://hdl.handle.net/1871.1/e99917e0-29de-4992-9575-aebe15ae87c7 >
Schuster, N A 2022, ' Bias in regression analysis : Problems and solutions ', Doctor of Philosophy . < https://hdl.handle.net/1871.1/e99917e0-29de-4992-9575-aebe15ae87c7 >
Background Epidemiologists are generally interested in the effect of an exposure on an outcome. This so-called exposure effect is often estimated using regression analysis, in which the outcome is regressed on the exposure. The distribution of the ou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::053e5f4d85cb5250fd393157e974aab9
https://hdl.handle.net/1871.1/e99917e0-29de-4992-9575-aebe15ae87c7
https://hdl.handle.net/1871.1/e99917e0-29de-4992-9575-aebe15ae87c7
Autor:
Doi, Suhail A., Furuya-Kanamori, Luis, Xu, Chang, Chivese, Tawanda, Lin, Lifeng, Musa, Omran A.H., Hindy, George, Thalib, Lukman, Harrell, Frank E.
Objectives: In a recent paper we suggest that the relative risk (RR) be replaced with the odds ratio (OR) as the effect measure of choice in clinical epidemiology. In response, Chu, and colleagues raise several points that argue for the status quo. I
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1664::b2b1ec17298ebf93defb2c74cb919dc3
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85114426666&origin=inward
https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85114426666&origin=inward
Autor:
Stephen Burgess
The odds ratio is a measure commonly used for expressing the association between an exposure and a binary outcome. A feature of the odds ratio is that its value depends on the choice of the distribution over which the probabilities in the odds ratio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae0fa2ddebf7ba896cf44788c360089f
https://www.repository.cam.ac.uk/handle/1810/247201
https://www.repository.cam.ac.uk/handle/1810/247201
Autor:
Akhavan Masouleh, Sepehr
Publikováno v:
Akhavan Masouleh, Sepehr. (2016). A New Class of Bayesian Semi-Parametric Joint Longitudinal-Survival Models for Biomarker Discovery. UC Irvine: Statistics. Retrieved from: http://www.escholarship.org/uc/item/45z8c9jd
In studying the progression of a disease and to better predict time to death (survival data), investigators often collect repeated measures over time (longitudinal data) and are interested in testing the association between risk factors, including co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od_______325::578531897942c1c5f168224e722592c5
http://www.escholarship.org/uc/item/45z8c9jd
http://www.escholarship.org/uc/item/45z8c9jd
Autor:
Burgess, S
Mendelian randomization is an epidemiological method for using genetic variation to estimate the causal effect of the change in a modifiable phenotype on an outcome from observational data. A genetic variant satisfying the assumptions of an instrumen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2f3be4dc852149306b15d64ce876201f