نتایج جستجو برای: cox hazard proportional model 1 corresponded author

تعداد نتایج: 4619333  

2011
Mette Charlot Erik L Grove Peter Riis Hansen Jonas B Olesen Ole Ahlehoff Christian Selmer Jesper Lindhardsen Jan Kyst Madsen Lars Køber Christian Torp-Pedersen Gunnar H Gislason

OBJECTIVE To examine the effect of proton pump inhibitors on adverse cardiovascular events in aspirin treated patients with first time myocardial infarction. DESIGN Retrospective nationwide propensity score matched study based on administrative data. Setting All hospitals in Denmark. PARTICIPANTS All aspirin treated patients surviving 30 days after a first myocardial infarction from 1997 to...

2007
Joseph Yeboah John R. Crouse Fang-Chi Hsu Gregory L. Burke David M. Herrington

Background—The relationship between impaired brachial flow-mediated dilation (FMD) and subsequent clinical cardiovascular events is not well established, especially in older adults whose FMD is often diminished. We assessed the hypothesis that FMD predicts incident cardiovascular events in a population-based cohort of older adults. Methods and Results—FMD was measured at the 1997 to 1998 Cardio...

2013
A. LOKESHMARAN R. ELANGOVAN

It is assumed for the Cox’s proportional hazards model that the survival times of subjects are independent. This assumption might be violated in some situations, in which the collected data are correlated. The well-known Cox model is not valid in this situation because independence assumption among individuals is violated. For this purpose Cox’s proportional hazard model is extent to the analys...

Journal: :CoRR 2017
John V. Monaco Malka Gorfine Li Hsu

The semi-parametric Cox proportional hazards (PH) regression model was developed by Sir David Cox (Cox 1972) and is by far the most popular model for survival analysis. The model defines a hazard function, which is the rate of an event occurring at any given time, given the observation is still at risk, as a function of the observed covariates. When data consist of independent and identically d...

2009
Jiayi Ni

Survival analysis is widely used in mechanical research, engineering and many other fields. This paper introduces the properties and modeling methods for survival data, then fits a Cox Proportional Hazards Model for stock data in the Shanghai Security Market. Introduction By September 17th, the Shanghai stock exchange’s benchmark index had plunged 64% since the start of the year, reaching a 52-...

2011
Yu-Hsiang Chou Tao-Min Huang Vin-Cent Wu Cheng-Yi Wang Chih-Chung Shiao Chun-Fu Lai Hung-Bin Tsai Chia-Ter Chao Guang-Huar Young Wei-Jei Wang Tze-Wah Kao Shuei-Liong Lin Yin-Yi Han Anne Chou Tzu-Hsin Lin Ya-Wen Yang Yung-Ming Chen Pi-Ru Tsai Yu-Feng Lin Jenq-Wen Huang Wen-Chih Chiang Nai-Kuan Chou Wen-Je Ko Kwan-Dun Wu Tun-Jun Tsai

INTRODUCTION Sepsis is the leading cause of acute kidney injury (AKI) in critical patients. The optimal timing of initiating renal replacement therapy (RRT) in septic AKI patients remains controversial. The objective of this study is to determine the impact of early or late initiation of RRT, as defined using the simplified RIFLE (risk, injury, failure, loss of kidney function, and end-stage re...

2013
James Rooney Susan Byrne Mark Heverin Bernie Corr Marwa Elamin Anthony Staines Ben Goldacre Orla Hardiman

INTRODUCTION The Irish ALS register is a valuable resource for examining survival factors in Irish ALS patients. Cox regression has become the default tool for survival analysis, but recently new classes of flexible parametric survival analysis tools known as Royston-Parmar models have become available. METHODS We employed Cox proportional hazards and Royston-Parmar flexible parametric modeli...

2013
Patrick Royston Yinghui Wei Jayne Tierney Mahesh Parmar

Methods We analyse survival data reconstructed from two trials publications which reported extreme non-proportional hazards (with respective p-values as 9.19E-13 and 1.344E-24 in non-PH Grambsch-Thernau test). We use the Cox proportional hazards model, flexible parametric model and accelerated failure time model to estimate the time-independent hazard ratio, between-arm difference in restricted...

2006
MAI ZHOU

The Cox proportional hazards regression model has been widely used in the analysis of survival/duration data. It is semiparametric because the model includes a baseline hazard function that is completely unspecified. We study here the statistical inference of the Cox model where some information about the baseline hazard function is available, but it still remains as an infinite dimensional nui...

2005
Jan Ondrich Gert G. Wagner

Up-to-date information about CPR's research projects and other activities is available from our World Wide Web site at www-cpr.maxwell.syr.edu. All recent working papers and Policy Briefs can be read and/or printed from there as well. ABSTRACT In survival analysis, Cox's name is associated with the partial likelihood technique that allows consistent estimation of proportional hazard scale param...

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