Tree-structured subgroup analysis for censored survival data: Validation of computationally inexpensive model selection criteria

نویسندگان

  • Abdissa Negassa
  • Antonio Ciampi
  • Michal Abrahamowicz
  • Stanley Shapiro
  • Jean-François Boivin
چکیده

ABDISSA NEGASSA∗, ANTONIO CIAMPI†, MICHAL ABRAHAMOWICZ†,‡, STANLEY SHAPIRO† and JEAN-FRANÇOIS BOIVIN†,§ ∗Department of Epidemiology and Population Health, Albert Einstein College of Medicine of Yeshiva University, Bronx NY, USA [email protected] †Department of Epidemiology and Biostatistics, McGill University, Montreal, Canada ‡Clinical Epidemiology, Montreal General Hospital, Montreal, Canada §Center for Clinical Epidemiology and Community studies, The Sir Mortimer B. Davis Jewish General Hospital, Montreal, Canada

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Nonparametric Tree-Structured Modeling for Interval-Censored Survival Data

Survival analysis has been a major research area in statistics. In survival analysis, time to some event is usually the outcome variable. The objective of a survival study is to identify the relationship between treatments, risk factors or other covariates and the time to event. However, in a real clinical trial or longitudinal study, the exact time to event for each participant is not always k...

متن کامل

Tree-based Multivariate Regression and Density Estimation with Right-censored Data

We propose a unified strategy for estimator construction, selection, and performance assessment in the presence of censoring. This approach is entirely driven by the choice of a loss function for the full (uncensored) data structure and can be stated in terms of the following three main steps. (1) First, define the parameter of interest as the minimizer of the expected loss, or risk, for a full...

متن کامل

Spatial Modeling of Censored Survival Data

An important issue in survival data analysis is the identification of risk factors. Some of these factors are identifiable and explainable by presence of some covariates in the Cox proportional hazard model, while the others are unidentifiable or even immeasurable. Spatial correlation of censored survival data is one of these sources that are rarely considered in the literatures. In this paper,...

متن کامل

A New Model Selection Test with Application to the Censored Data of Carbon Nanotubes Coating

Model selection of nano and micro droplet spreading can be widely used to predict and optimize of different coating processes such as ink jet printing, spray painting and plasma spraying. The idea of model selection is beginning with a set of data and rival models to choice the best one. The decision making on this set is an important question in statistical inference. Some tests and criteria a...

متن کامل

Model Selection Based on Tracking Interval Under Unified Hybrid Censored Samples

The aim of statistical modeling is to identify the model that most closely approximates the underlying process. Akaike information criterion (AIC) is commonly used for model selection but the precise value of AIC has no direct interpretation. In this paper we use a normalization of a difference of Akaike criteria in comparing between the two rival models under unified hybrid cens...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Statistics and Computing

دوره 15  شماره 

صفحات  -

تاریخ انتشار 2005