Results 31 to 40 of about 780,798 (295)
Kaplan–Meier Estimator under Association
Journal of Multivariate Analysis, 1998 This work studies the Kaplan-Meier estimator and the estimation of the hazard function in a model with censored failure times. The true survival times \(T_1,\dots T_n\), with common marginal \(F\), are not assumed mutually independent. They satisfy two different notions of weak dependence: a) They are positively associated, i.e.
Cai, Zongwu, Roussas, George G.
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A multi-factorial genetic model for prognostic assessment of high risk melanoma patients receiving adjuvant interferon [PDF]
, 2012 Purpose: IFNa was the first cytokine to demonstrate anti-tumor activity in advanced melanoma. Despite the ability of high-dose IFNa reducing relapse and mortality by up to 33%, large majority of patients experience side effects and toxicity which ...
Alessandro Monaco +9 more
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LocalControl: An R Package for Comparative Safety and Effectiveness Research
Journal of Statistical Software, 2020 The LocalControl R package implements novel approaches to address biases and confounding when comparing treatments or exposures in observational studies of outcomes.
Nicolas R. Lauve +4 more
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Hepatic resection for metastatic colorectal adenocarcinoma: A proposal of a prognostic scoring system [PDF]
, 1999 Background: Hepatic resection for metastatic colorectal cancer provides excellent longterm results in a substantial proportion of patients. Although various prognostic risk factors have been identified, there has been no dependable staging or prognostic ...
Bonham, AC +9 more
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Kaplan-Meier Survival Analysis: Practical Insights for Clinicians
Acta Médica PortuguesaThis article aims to provide a guide that will help healthcare professionals and clinical researchers from all fields that deal with Kaplan-Meier curves.
António Pedro Gomes +4 more
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A Generalized Kaplan-Meier Estimator
The Annals of Statistics, 1984 A class of nonparametric maximum likelihood estimators of the survival function based on incomplete or right-censored data is derived in the general situation that the time to death and the time to loss (censoring) are not necessarily independent. This is the competing risks problem with two causes of failure.
Robertson, James B., Uppuluri, V. R. R.
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Evaluating COVID-19 Vaccine Efficacy Using Kaplan–Meier Survival Analysis
BioMedInformaticsAnalyses of COVID-19 vaccines have become a forefront of pandemic-related research, as jurisdictions around the world encourage vaccinations as the most assured method to curtail the need for stringent public health measures.
Waleed Hilal +6 more
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BMC Psychiatry, 2018 Background Dialectical Behaviour Therapy (DBT) is an evidence-based intervention that has been included in the National Institute of Health and Care Excellence guidelines as a recommended treatment for Borderline Personality Disorder in the UK.
Joanne C. King +3 more
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BMC Medical Research Methodology, 2023 Background In economic evaluations, survival is often extrapolated to smooth out the Kaplan-Meier estimate and because the available data (e.g., from randomized controlled trials) are often right censored.
LJ Bakker +4 more
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Survival Analysis I: The Kaplan-Meier Method [PDF]
Nephron Clinical Practice, 2011 The Kaplan-Meier (KM) method is used to analyze ‘time-to-event’ data. The outcome in KM analysis often includes all-cause mortality, but could also include other outcomes such as the occurrence of a cardiovascular event. The purpose of this article is to explain the basic concepts of the KM method, to provide some guidance regarding the presentation of
Stel, V.S. +4 more
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