Survival Analysis, Kaplan-Meier Curves, and Cox Regression: Basic Concepts [PDF]
Indian Journal of Psychological Medicine, 2023 Survival analysis is used to analyze data from patients who are followed for different periods of time and in whom the outcome of interest, a dichotomous event, may or may not have occurred at the time the study is halted; data from all patients are used
Chittaranjan Andrade
doaj +3 more sources
IPDfromKM: reconstruct individual patient data from published Kaplan-Meier survival curves [PDF]
BMC Medical Research Methodology, 2021 Background When applying secondary analysis on published survival data, it is critical to obtain each patient’s raw data, because the individual patient data (IPD) approach has been considered as the gold standard of data analysis.
Na Liu, Yanhong Zhou, J. Jack Lee
doaj +3 more sources
KMSubtraction: reconstruction of unreported subgroup survival data utilizing published Kaplan-Meier survival curves [PDF]
BMC Medical Research Methodology, 2022 Background Data from certain subgroups of clinical interest may not be presented in primary manuscripts or conference abstract presentations. In an effort to enable secondary data analyses, we propose a workflow to retrieve unreported subgroup survival ...
Joseph J. Zhao +6 more
doaj +3 more sources
Hidden Imputations and the Kaplan-Meier Estimator. [PDF]
Am J Epidemiol, 2020 The 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.
S. Cole +3 more
semanticscholar +5 more sources
Methods to Analyse Time-to-Event Data: The Kaplan-Meier Survival Curve [PDF]
Oxid Med Cell Longev, 2021 Studies performed in the field of oxidative medicine and cellular longevity frequently focus on the association between biomarkers of cellular and molecular mechanisms of oxidative stress as well as of aging, immune function, and vascular biology with ...
G. D’Arrigo +5 more
semanticscholar +2 more sources
Impact of Paravalvular Leak on Outcomes After Transcatheter Aortic Valve Implantation: Meta-Analysis of Kaplan-Meier-derived Individual Patient Data [PDF]
Struct Heart, 2022 Background Paravalvular leak (PVL) after transcatheter aortic valve implantation (TAVI) is frequent and the impact of mild PVL on outcomes remains uncertain. Our study aimed to evaluate the impact of PVL on TAVI outcomes. Methods To analyze late outcomes
M. P. Sá +13 more
semanticscholar +2 more sources
Using the Kaplan–Meier Estimator to Assess the Reliability of Agricultural Machinery
Agronomy, 2022 Kaplan–Meier analyses can be used in many disciplines, e.g., agricultural engineering. Agricultural machinery and vehicles can be regarded as objects that ‘die’ because, like living creatures, they failed, although after repair they can be used until ...
Karol Durczak +5 more
doaj +2 more sources
British Journal of Surgery, 2017 Analysis of time-to-event (“survival”) data typically requires two pieces of data that are taken into account simultaneously: i) the time period for which follow-up was available, and ii) the status at the end of the follow-up. The former variable is continuous (time) and the latter categorical, specifying whether the endpoint was the event under study,
J. Ranstam, J. Cook
semanticscholar +3 more sources
A Method for Reconstructing Individual Patient Data From Kaplan-Meier Survival Curves That Incorporate Marked Censoring Times [PDF]
MDM Policy Pract, 2022 Introduction. Access to individual patient data (IPD) can be advantageous when conducting cost-effectiveness analyses or indirect treatment comparisons.
B. Rogula, G. Lozano-Ortega, K. Johnston
semanticscholar +2 more sources
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
doaj +2 more sources