Results 21 to 30 of about 459,261 (336)
Determinants of outcome in covid-19 cases: a cross-sectional analytical study [PDF]
Al Ameen Journal of Medical Sciences, 2021 Background: In December 2019, in Wuhan a new contagious disease outbreak occurred. In Aurangabad, the first case of Covid19 was reported on 3rd March, 2020. There is paucity of data on clinical characteristics and treatment outcomes.
Rashmi Priya, S.P. Andurkar, J.V. Dixit
doaj
Survival analysis: Part I — analysis of time-to-event [PDF]
Korean Journal of Anesthesiology, 2018 Length of time is a variable often encountered during data analysis. Survival analysis provides simple, intuitive results concerning time-to-event for events of interest, which are not confined to death.
Junyong In, Dong Kyu Lee
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Quasi-linear Cox proportional hazards model with cross- L1 penalty
BMC Medical Research Methodology, 2020 Background To accurately predict the response to treatment, we need a stable and effective risk score that can be calculated from patient characteristics.
Katsuhiro Omae, Shinto Eguchi
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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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Generating Survival Times to Simulate Cox Proportional Hazards Models [PDF]
, 2003 This paper discusses techniques to generate survival times for simulation studies regarding Cox proportional hazards models. In linear regression models, the response variable is directly connected with the considered covariates, the regression ...
Augustin, Thomas +2 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
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icenReg: Regression Models for Interval Censored Data in R
Journal of Statistical Software, 2017 The non-parametric maximum likelihood estimator and semi-parametric regression models are fundamental estimators for interval censored data, along with standard fullyparametric regression models.
Clifford Anderson-Bergman
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Does the Tax Cuts Policy Lower Firm Survival Risk? Evidence from China [PDF]
E3S Web of Conferences, 2023 This paper examines the effect of tax cuts policy on firm survival risk. We analyze a panel data of China’s listed companies over the period 20082021 based on two different techniques: Kaplan-Meier survival estimator and the Cox proportional hazards ...
Wang Hong +3 more
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Statistical estimation in the proportional hazards model with risk set sampling [PDF]
, 2004 Thomas' partial likelihood estimator of regression parameters is widely used in the analysis of nested case-control data with Cox's model. This paper proposes a new estimator of the regression parameters, which is consistent and asymptotically normal ...
Chen, Kani
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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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