Results 11 to 20 of about 203,532 (254)
Analysis of The Debtor's Endurance using Cox Regression Semiparametric Method
Jurnal Ilmu Keuangan dan Perbankan, 2022 The aim of this research was conducted to determine the factors that influence the resilience of car loan debtors in an area. The research method used is semiparametric Cox regression on secondary data, WAREHOUSE consisting of the customer profile ...
Vitri Aprilla Handayani* +3 more
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Clinical and Translational Science, 2022 This study aimed to develop a model for predicting the completion of clinical trials involving pregnant women using the Cox proportional hazard model and neural network model (DeepSurv) and to compare the predictive performance of both methods.
Bomee Kim +6 more
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Gradient lasso for Cox proportional hazards model [PDF]
Bioinformatics, 2009 AbstractMotivation: There has been an increasing interest in expressing a survival phenotype (e.g. time to cancer recurrence or death) or its distribution in terms of a subset of the expression data of a subset of genes. Due to high dimensionality of gene expression data, however, there is a serious problem of collinearity in fitting a prediction model,
Insuk Sohn +3 more
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Tree-augmented Cox proportional hazards models [PDF]
Biostatistics, 2005 We study a hybrid model that combines Cox proportional hazards regression with tree-structured modeling. The main idea is to use step functions, provided by a tree structure, to 'augment' Cox (1972) proportional hazards models. The proposed model not only provides a natural assessment of the adequacy of the Cox proportional hazards model but also ...
Su, Xiaogang, Tsai, Chih Ling
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Cancer Informatics, 2011 In the frame of the Cox proportional hazard (PH) model, a novel two-step procedure for estimating age-period-cohort (APC) effects on the hazard function of death from cancer was developed. In the first step, the procedure estimates the influence of joint
Tengiz Mdzinarishvili +3 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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On model specification and selection of the Cox proportional hazards model [PDF]
Statistics in Medicine, 2013 Prognosis plays a pivotal role in patient management and trial design. A useful prognostic model should correctly identify important risk factors and estimate their effects. In this article, we discuss several challenges in selecting prognostic factors and estimating their effects using the Cox proportional hazards model.
Lin, Chen-Yen, Halabi, Susan
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Stepwise cox regression analysis in SPSS
Cancer Research, Statistics, and Treatment, 2018 This article is a beginners' guide for performing Cox regression analysis in SPSS. The article provides practical steps toward performing Cox analysis and interpreting the output of SPSS for Cox regression analysis.
Sampada Dessai, Vijai Simha, Vijay Patil
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Jurnal Matematika UNAND, 2020 Demam Berdarah Dengue (DBD) merupakan salah satu penyakit berbahaya dan bisa meyebabkan kematian. Untuk mengurangi angka kematian akibat demam berdarah dengue, maka penelitian ini akan memodelkan waktu survival dengan studi kasus pada pasien demam ...
FITRI AULIA +2 more
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Survival analysis in clinical trials: Basics and must know areas
Perspectives in Clinical Research, 2011 Many clinical trials involve following patients for a long time. The primary event of interest in those studies is death, relapse, adverse drug reaction or development of a new disease.
Ritesh Singh, Keshab Mukhopadhyay
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