Results 31 to 40 of about 349,638 (336)
Trend-constrained corrected score for proportional hazards model with covariate measurement error
Contemporary Clinical Trials Communications, 2015 In many medical research studies, survival time is typically the primary outcome of interest. The Cox proportional hazards model is the most popular method to investigate the relationship between covariates and possibly right-censored survival time ...
Ming Zhu, Yijian Huang
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Comparison of methods for estimating the attributable risk in the context of survival analysis
BMC Medical Research Methodology, 2017 Background The attributable risk (AR) measures the proportion of disease cases that can be attributed to an exposure in the population. Several definitions and estimation methods have been proposed for survival data.
Malamine Gassama +3 more
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A mixed model approach for structured hazard regression [PDF]
, 2004 The classical Cox proportional hazards model is a benchmark approach to analyze continuous survival times in the presence of covariate information. In a number of applications, there is a need to relax one or more of its inherent assumptions, such as ...
Fahrmeir, Ludwig, Kneib, Thomas
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The importance of censoring in competing risks analysis of the subdistribution hazard
BMC Medical Research Methodology, 2017 Background The analysis of time-to-event data can be complicated by competing risks, which are events that alter the probability of, or completely preclude the occurrence of an event of interest.
Mark W. Donoghoe, Val Gebski
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Bayesian semiparametric inference for multivariate doubly-interval-censored data [PDF]
, 2010 Based on a data set obtained in a dental longitudinal study, conducted in Flanders (Belgium), the joint time to caries distribution of permanent first molars was modeled as a function of covariates.
De Iorio, Maria +3 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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, 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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Time and dose dependency of bone-sarcomas in patients injected with radium-224 [PDF]
, 1988 The time course and dose dependency of the incidence of bone-sarcomas among 900 German patients treated with high doses of radium-224 is analysed in terms of a proportional hazards model with a log-normal dependency of time to tumor and a linear ...
A. M. Kellerer +14 more
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Fitting The First Birth Interval in Indonesia Using Weibull Proportional Hazards Model
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2018 The first birth interval is one of the indicators of women’s fertility rate. Because in most cases the first birth interval contains censored observations, the only appropriate statistical method to handle such data is survival analysis.
Alfensi Faruk +2 more
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Network topology drives population temporal variability in experimental habitat networks
Population Ecology, EarlyView.Habitat patches connected by dispersal pathways form habitat networks. We explored how network topology affects population outcomes in laboratory experiments using a model species (Daphnia carinata). Central habitat nodes in complex lattice networks exhibited lower temporal variability in population sizes, suggesting they support more stable ...
Yiwen Xu +3 more
wiley +1 more source