Results 31 to 40 of about 281,063 (279)
Bayesian random threshold estimation in a Cox proportional hazards cure model [PDF]
, 2013 Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/102705/1/sim5964 ...
Bellile, Emily L. +3 more
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BMC Research Notes, 2017 Background Uganda just like any other Sub-Saharan African country, has a high under-five child mortality rate. To inform policy on intervention strategies, sound statistical methods are required to critically identify factors strongly associated with ...
Justine B. Nasejje, Henry Mwambi
doaj +1 more source
Data generation for the Cox proportional hazards model with time-dependent covariates: A method for medical researchers [PDF]
, 2013 The proliferation of longitudinal studies has increased the importance of statistical methods for time-to-event data that can incorporate time-dependent covariates. The Cox proportional hazards model is one such method that is widely used.
Hendry, David J.
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Testing proportional hazards for specified covariates
Modern Stochastics: Theory and Applications, 2019 Tests for proportional hazards assumption concerning specified covariates or groups of covariates are proposed. The class of alternatives is wide: log-hazard rates under different values of covariates may cross, approach, go away.
Vilijandas Bagdonavičius +1 more
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Hepatic resection for metastatic colorectal adenocarcinoma: A proposal of a prognostic scoring system [PDF]
, 1999 Background: Hepatic resection for metastatic colorectal cancer provides excellent longterm results in a substantial proportion of patients. Although various prognostic risk factors have been identified, there has been no dependable staging or prognostic ...
Bonham, AC +9 more
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BMC Bioinformatics, 2021 Background The Cox proportional hazards model is commonly used to predict hazard ratio, which is the risk or probability of occurrence of an event of interest.
Eu-Tteum Baek +6 more
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E-Jurnal Matematika, 2013 Survival analysis is a statistical method that accommodates the collection of censored data. One of popular method in survival analysis is the Cox Proportional Hazard Regression.
I GEDE ARI SUDANA +2 more
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Genome-wide survival analysis of age at onset of alcohol dependence in extended high-risk COGA families. [PDF]
, 2014 BackgroundThe age at onset of alcohol dependence (AD) is a critical moderator of genetic associations for alcohol dependence. The present study evaluated whether single nucleotide polymorphisms (SNPs) can influence the age at onset of AD in large high ...
Agrawal, Arpana +23 more
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Asymptotic normality of corrected estimator in Cox proportional hazards model with measurement error
Modern Stochastics: Theory and Applications, 2014 Cox proportional hazards model is considered. In Kukush et al. (2011), Journal of Statistical Research, Vol. 45, No. 2, 77–94 simultaneous estimators $\lambda _{n}(\cdot )$ and $\beta _{n}$ of baseline hazard rate $\lambda (\cdot )$ and regression ...
C. Chimisov, A. Kukush
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, 2018 The Cox model, which remains as the first choice in analyzing time-to-event data even for large datasets, relies on the proportional hazards assumption. When the data size exceeds the computer memory, the standard statistics for testing the proportional ...
Schifano, Elizabeth D. +3 more
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