Results 101 to 110 of about 402,477 (353)
مجله اپیدمیولوژی ایران, 2013 Background & Objectives: Cox regression model is one of the statistical methods in survival analysis. The use of smoothing techniques in Cox model makes the more accurate estimates for the parameters.
H Noorkojuri +3 more
doaj
The Pennsylvania reemployment bonus experiments : how a survival model helps in the analysis of the data [PDF]
, 2003 Survival models for life-time data and other time-to-event data are widely used in many fields, including medicine, the environmental sciences, engineering etc. They have also found recognition in the analysis of economic duration data.
Schunk, Daniel
core +2 more sources
BMC Medical Research Methodology, 2010 BackgroundThe appropriate handling of missing covariate data in prognostic modelling studies is yet to be conclusively determined. A resampling study was performed to investigate the effects of different missing data methods on the performance of a ...
Andrea Marshall, D. Altman, R. Holder
semanticscholar +1 more source
Long‐Term Temporal Profile of Motor Recovery After Intracerebral Hemorrhage
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Limited data is available to describe the temporal profile of long‐term recovery over 1 year after the stroke in patients with spontaneous intracerebral hemorrhage (ICH). Methods A registered multicentral cohort was conducted to consecutively include non‐herniated supratentorial ICH patients from November 2013 to January 2023 ...
Yan Zheng +24 more
wiley +1 more source
Identification of a Specific Gene Module for Predicting Prognosis in Glioblastoma Patients
Frontiers in Oncology, 2019 Introduction: Glioblastoma (GBM) is the most common and malignant variant of intrinsic glial brain tumors. The poor prognosis of GBM has not significantly improved despite the development of innovative diagnostic methods and new therapies.
Xiangjun Tang +14 more
doaj +1 more source
Journal of Manufacturing and Materials Processing, 2020 The machining industry raises an ever-growing concern for the significant cost of cutting tools in the production process of mechanical parts, with a focus on the replacement policy of these inserts.
Lucas Equeter +4 more
doaj +1 more source
A Simulation Study on Competing Risks With Censored Data Using Cox Model [PDF]
, 1999 A simulation study was performed to compare two regression methods for competing risks with censored data. The first method was the conventional Cox's proportional hazard regression model (Cox model).
Lukman, Iing
core
Predictors of time to relapse in amphetamine-type substance users in the matrix treatment program in Iran : a Cox proportional hazard model application [PDF]
, 2016 Background: The aim of this study was to determine which predictors influence the risk of relapse among a cohort of amphetamine-type substance (ATS) users in Iran.
Moeeni, Maryam +5 more
core +2 more sources
Model Selection Strategy for Cox Proportional Hazards Model
Dhaka University Journal of Science, 2019 Often in survival regression modelling, not all predictors are relevant to the outcome variable. Discarding such irrelevant variables is very crucial in model selection. In this research, under Cox Proportional Hazards (PH) model we study different model selection criteria including Stepwise selection, Least Absolute Shrinkage and Selection Operator ...
Fabiha Binte Farooq, Jamil Hasan Karami
openaire +3 more sources
In Vitro Modeling of Natural Killer Cell Cytotoxicity to Inform Personalized ALS Therapeutics
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Natural killer (NK) cells might contribute to motor neuron death in amyotrophic lateral sclerosis (ALS) through direct cytotoxicity, a process that could be inhibited with the FDA‐approved JAK/STAT pathway inhibitor, tofacitinib. This study aimed to verify that tofacitinib can suppress NK cell cytotoxicity, investigate if immune cell
Benjamin J. Murdock +8 more
wiley +1 more source