نتایج جستجو برای: stratified cox regression method scrm

تعداد نتایج: 1944600  

ژورنال: اندیشه آماری 2021

The proportional hazard Cox regression models play a key role in analyzing censored survival data. We use penalized methods in high dimensional scenarios to achieve more efficient models. This article reviews the penalized Cox regression for some frequently used penalty functions. Analysis of medical data namely ”mgus2” confirms the penalized Cox regression performs better than the cox regressi...

Journal: :Statistics in medicine 2010
Edward H Kennedy Jeremy M G Taylor Douglas E Schaubel Scott Williams

We consider using observational data to estimate the effect of a treatment on disease recurrence, when the decision to initiate treatment is based on longitudinal factors associated with the risk of recurrence. The effect of salvage androgen deprivation therapy (SADT) on the risk of recurrence of prostate cancer is inadequately described by the existing literature. Furthermore, standard Cox reg...

2006
Yuhua Su

This article addresses a connection between the Bradley and Terry (1952A) model and Cox (1972) proportional hazards model. We show that the partial likelihood of random variables that satisfy the stratified proportional hazards assumption of Cox (1972) coincides with the likelihood given by the Bradley-Terry (BT) model for rank order events. Such a connection not only allows many available soft...

Journal: :The Plant cell 2008
Masahiro M Kanaoka Lynn Jo Pillitteri Hiroaki Fujii Yuki Yoshida Naomi L Bogenschutz Junji Takabayashi Jian-Kang Zhu Keiko U Torii

Differentiation of specialized cell types in multicellular organisms requires orchestrated actions of cell fate determinants. Stomata, valves on the plant epidermis, are formed through a series of differentiation events mediated by three closely related basic-helix-loop-helix proteins: SPEECHLESS (SPCH), MUTE, and FAMA. However, it is not known what mechanism coordinates their actions. Here, we...

2014
SIMON P. J. BYRNE

Prentice & Pyke (1979) established that the maximum likelihood estimate of an odds ratio in a case-control study is the same as would be found by fitting a logistic regression; in other words, for this specific target the incorrect prospective model is inferentially equivalent to the correct retrospective model. Similar results have been obtained for other models, and conditions have also been ...

2005
Norman E. Breslow Jon A. Wellner

Weighted likelihood, in which one solves Horvitz-Thompson or inverse probability weighted (IPW) versions of the likelihood equations, offers a simple and robust method for fitting models to two phase stratified samples. We consider semiparametric models for which solution of infinite dimensional estimating equations leads to √ N consistent and asymptotically Gaussian estimators of both Euclidea...

Abdolrasoul Bardideh Amir Hossein Hashemian Behrouz Beiranvand, Eghbal Zand-Karimi Mansour Rezaei

Cox regression model serves as a statistical method for analyzing the survival data, which requires some options such as hazard proportionality. In recent decades, artificial neural network model has been increasingly applied to predict survival data. This research was conducted to compare Cox regression and artificial neural network models in prediction of kidney transplant survival. The prese...

2015
Samaneh Bagheri Rob J. Kusters Jos J. M. Trienekens

Offering a PSS that is based on co-creating value with customer, starts with understanding customer needs. Customer understanding is realized through the process of managing customer knowledge across a PSS value network. In this respect, customer knowledge management (CKM) is seen as a core business capability. We extend the notion of CKM capability to a PSS value network, defining it as a valu...

Journal: :Nephron Clinical Practice 2011

Journal: :Lifetime Data Analysis 2018

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