Proportional hazard model
Life Duration of New Firms in Iranian Manufacturing Industries Using Cox Proportional Hazard Model
... n this paper, the Cox proportional hazard model is used to answer several questions. In general, fourteen variables are applied in four groups: firm, industry, expenditure human resources specific ...
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An Analysis of the Survival times of the Patients with AML (Acute Myeloid Leukemia) using Cox Proportional Hazard Model with changing form of the Hazard Function
... to model the hazard function on explanatory or prognostic covariates because it will depict more realistic and easily interpretable features of the survival ...Cox Proportional Hazard ...
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Effects of Collinearity on Cox Proportional Hazard Model with Time Dependent Coefficients: A Simulation Study
... regression model which takes into account the effect of censored observations is one the most applicative and used models in survival analysis to evaluate the effects of ...regression model was considered ...
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Estimation of the Survivorship Function Using the Cox-Proportional Hazard Model with Relaxed Tsiatis Assumptions
... Cox-Proportional Hazard model. It assumes that the effect on the hazard function of a particular factor of interest remains unchanged throughout the ...as Proportional Hazards. Tsiatis ...
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Bayesian Spatial Cox Proportional Hazard Model For HIV Infected Tuberculosis Cases In Chennai
... survival model, the importance of the spatial inequalities was considered including, the impact of difference in area level characteristics and individual level risk factors [4- ...Bayesian model are very ...
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Generalized log-logistic proportional hazard model with applications in survival analysis
... This example illustrates the use of the generalized log-logistic distribution in joint mod- eling. Rizopoulos (2012) described a study involving 467 human immunodeficiency virus (HIV) infected patients who had failed or ...
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The Initial Going-concern of Delisting Firms: An Application of Proportional Hazard Model
... choice model as a tool for auditors to evaluate the issue of going-concern for the ...choice model is used to predict future business failure possibility, and early relevant impacts of ...choice ...
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Factors associated with hospital readmission in sickle cell disease
... Cox's proportional hazard ...survival model is defined as a semi-para- metric model because the baseline hazard function is treated non-parametrically, not assuming any specific ...
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A Two stage Intelligent Model for Personal Credit Loans Default Prediction by Using SOM and PHM
... predicted model by using self-organizing mapping (SOM) to segment first, and by proportional hazard model (PHM) to predict the lifetime (default ...
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Three Essays in Health Economics
... Cox Proportional Hazard Model with time varying covariates is utilized to estimate the probability that an individual disengages from their career job, given they have not yet done ...
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Causes of culling in dairy cows and its relation to age at culling and interval from calving in Shiraz, Southern Iran
... Cox proportional hazard model for calving to culling interval, infertility (hazard ratio [HR] = ...Cox model for age at culling, risk of culling was significantly higher for infertility ...
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Wound Inflammatory Cells after Cardiac Surgery and the Patients’ Survival
... Cox’s proportional hazard model was build up to study several factors at the same model (smoking, WICN as classified, BMI, ear- lier heart attack, serum creatinine, diabetes, systolic blood ...
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What makes you go back home? Determinants of the duration of migration of Mexican immigrants in the United States
... Cox proportional hazard model to estimate the impact of characteristics of the individual, household, destination and origin areas, and the effect of US migration policy on the hazard of ...
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Heritability, reliability of genetic evaluations and response to selection in proportional hazard models
... uations considered here were idealized (no fixed effect other than the mean, no time-dependent covariate, nearly balanced design). It has been documented that survival analysis has advantages over linear model ...
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Model-based estimation of measures of association for time-to-event outcomes
... Cox proportional hazard ...Cox model with a time dependent treatment effect (interaction treatment by time modeled with a B-spline with 1 knot at the median of the failure time ...transformation ...
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Mathematical Model for the Diurnal Rhythm of Leptin in Healthy Young Women
... New parameters can be introduced to expand families of distributions for added flexibility or to construct covariate models. Introduction to scale parameter usually leads to the accelerated life model, and taking ...
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Using different anthropometric indices to assess prediction ability of type 2 diabetes in elderly population: a 5 year prospective study
... Cox proportional hazard model was used to calculate hazard ratio (HR) and corresponding 95% confidence intervals (CIs) of incident diabetes for different anthropometric ...
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Flexible parametric modelling of cause-specific hazards to estimate cumulative incidence functions
... of proportional hazards is often unrea- sonable in epidemiological ...parametric model may be criticized as the number and lo- cation of the knots are ...
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Risk factors for foot ulceration in adults with end-stage renal disease on dialysis: a prospective observational cohort study
... HR: Hazard ratio; IQR: Interquartile range; MCS: Mental component score; MD: Mean difference; OR: Odds ratio; PAD: Peripheral arterial disease; PCS: Physical component score; PTH: Parathyroid hormone; RR: Relative ...
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Quantile Based Relevation Transform and its Properties
... where ˆ L is the estimate of likelihood function. The AIC measure for the proposed model is 151.5, whereas the AIC’s for the models proposed by Midhu et al. (2013) and Mud- holkar and Srivastava (1993) are 153.45 ...
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