There are several statistical methods for time-to-event analysis, among which is the Cox proportional hazards model that is most commonly used. However, when the absolute change in risk, instead of the risk ratio, is of primary interest or when the proportional hazard assumption for the Cox proportional hazards model is violated, an additive hazard regression model may be more appropriate. In t...

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 ...

Pandemi berdampak pada segala aspek kehidupan, salah satunya yaitu perekonomian yang mana mampu mempengaruhi keputusan investor dalam berinvestasi di pasar modal atau Bursa Efek Indonesia (BEI). Terdapat banyak indeks saham BEI, LQ45. Indeks LQ45 merupakan kumpulan 45 emiten terbaik dengan likuiditas tinggi dan kapitalisasi besar serta fundamental perusahaan baik. Fundamental ini mengacu perfor...

The recent literature on the duration of trade has predominantly analyzed the determinants of trade flow durations using Cox proportional hazards models. The purpose of this paper is to show why it is inappropriate to analyze the duration of trade with continuous-time models such as the Cox model, and to propose alternative discrete-time models which are more suitable for estimation. Briefly, t...

The objective of hazards (lifetime) analysis is to advance and promote statistical science in the various applied fields that deal with lifetime (survival) data including: actuarial science and reliability engineering. The lifetime data analysis provides special techniques that are required to compare the risks for failure. Bayesian semi-parametric methods have been applied to survival analysis...