Results 11 to 20 of about 2,137,881 (310)
Understanding survival analysis: Kaplan-Meier estimate. [PDF]
Int J Ayurveda Res, 2010 Kaplan-Meier estimate is one of the best options to be used to measure the fraction of subjects living for a certain amount of time after treatment. In clinical trials or community trials, the effect of an intervention is assessed by measuring the number of subjects survived or saved after that intervention over a period of time. The time starting from
Goel MK, Khanna P, Kishore J.
europepmc +4 more sources
Will the Knee Outlive the Patient? Kaplan-Meier Systematically Overstates the Lifetime Risk of Revision After Total Knee Arthroplasty [PDF]
JBJS Open AccessBackground:. Lifetime revision risk after total knee arthroplasty (TKA) is usually estimated from Kaplan-Meier survivorship, which treats death as noninformative censoring and overstates revision incidence when competing mortality is substantial.
Wayne Hoskins, MBBS (Hons), FRACS, PhD +2 more
doaj +2 more sources
The basics of Kaplan–Meier estimate
Journal of the Practice of Cardiovascular Sciences, 2016 Aakshi Kalra
doaj +2 more sources
Gut and Liver, 2022 Background/Aims: Endoscopic ultrasonography (EUS) provides high-resolution images and is superior to computed tomography (CT) scan in diagnosing small pancreatic ductal adenocarcinoma (PDAC).
Sung Woo Ko +14 more
doaj +1 more source
Analysis of survival data in thalassemia patients in Shiraz, Iran [PDF]
Epidemiology and Health, 2015 OBJECTIVES: The survival rate of thalassemia patients has not been conclusively established, and the factors associated with survival remain unclear. This study aimed to determine the survival rate of thalassemia among patients in southern Iran and to ...
Abdolreza Rajaeefard +10 more
doaj +1 more source
Private and Collaborative Kaplan-Meier Estimators
Proceedings of the 23rd Workshop on Privacy in the Electronic Society, 2023 Kaplan-Meier estimators are essential tools in survival analysis, capturing the survival behavior of a cohort. Their accuracy improves with large, diverse datasets, encouraging data holders to collaborate for more precise estimations. However, these datasets often contain sensitive individual information, necessitating stringent data protection ...
Shadi Rahimian +3 more
openaire +3 more sources
Hidden Imputations and the Kaplan-Meier Estimator
American Journal of Epidemiology, 2020 AbstractThe Kaplan-Meier (KM) estimator of the survival function imputes event times for right-censored and left-truncated observations, but these imputations are hidden and therefore sometimes unrecognized by applied health scientists. Using a simple example data set and the redistribution algorithm, we illustrate how imputations are made by the KM ...
Stephen R, Cole +3 more
openaire +3 more sources
Kaplan-Meier survival estimate of transfused patients.
, 2022 Kaplan-Meier survival estimate of transfused patients.
Bridget Angucia (13844289) +6 more
core +1 more source
Kaplan-Meier survival estimate for current study.
, 2021 Kaplan-Meier survival estimate for current study.
Mesfin Kote (11890889) +3 more
core +1 more source