Coronavirus disease 2019 (COVID-19) is a respiratory infectious caused by Severe Acute Respiratory Syndrome 2 (SARS-CoV-2). COVID-19 in patients with comorbidities progresses more rapidly to severity and frequently leads death. Therefore, the objective of this study determine length survival estimation Hazard Ratio (HR) comorbidities. The design used retrospective cohort 3,751 samples was analy...

In his discussion of Cox's (1972) paper on proportional hazards regression, Breslow (1972) provided the maximum likelihood estimator for the cumulative baseline hazard function. This estimator is commonly used in practice. The estimator has also been highly valuable in the further development of Cox regression and semiparametric inference with censored data. The present paper describes the Bres...

The aim of this research was conducted to determine the factors that influence resilience car loan debtors in an area. method used is semiparametric Cox regression on secondary data, WAREHOUSE consisting customer profile (demography) and historical payment 25 observed variables. model study a proportional hazard model. Based description it shows there risk defaulting who have been past due comp...

The Cox-Aalen model, obtained by replacing the baseline hazard function in the well-known Cox model with a covariate-dependent Aalen model, allows for both fixed and dynamic covariate effects. In this paper, we examine maximum likelihood estimation for a Cox-Aalen model based on interval-censored failure times with fixed covariates. The resulting estimator globally converges to the truth slower...

BACKGROUND The role of exercise-induced pulmonary hypertension in decision making regarding surgical timing for asymptomatic chronic mitral regurgitation is controversial. We reasoned that the exercise-induced pulmonary hypertension response could not be interpreted without knowledge of right ventricular (RV) function. The aim of this study was to assess the role of RV measures at rest and duri...

BACKGROUND Cyclooxygenase-2 (COX-2) is believed to be an important enzyme in the pathogenesis of colorectal cancer (CRC). Correlations between the expression of COX-2 with tumor growth and distant metastasis have become an issue; thus, attention has been paid to COX-2 as a prognostic factor. Various studies examined the relationship between COX-2 immunohistochemistry (IHC) overexpression with t...

The Cox proportional-hazards regression model has achieved widespread use in the analysis of time-to-event data with censoring and covariates. The covariates may change their values over time. This article discusses the use of such time-dependent covariates, which offer additional opportunities but must be used with caution. The interrelationships between the outcome and variable over time can ...

The Cox (1972) regression model is extended to include discrete and mixed continuous/discrete failure time data by retaining the multiplicative hazard rate form of the absolutely continuous model. Application of martingale arguments to the regression parameter estimating function show the Breslow(1974) estimator to be consistent and asymptotically Gaussian under this model. A computationally co...

BACKGROUND The aim of this study was to predict the survival rate of Iranian gastric cancer patients using the Cox proportional hazard and artificial neural network models as well as comparing the ability of these approaches in predicting the survival of these patients. METHODS In this historical cohort study, the data gathered from 436 registered gastric cancer patients who have had surgery ...

We propose to analyze interval-censored data with Cox model using a spline-based sieve semi-parametric maximum likelihood approach in which the baseline cumulative hazard function is approximated by a monotone B-splines function. We apply the generalized Rosen algorithm , used in Zhang & Jamshidian (2004), for computing the maximum likelihood estimate. We show that the the estimator of regressi...