Results 11 to 20 of about 913,429 (284)
Synthetizing Published Evidence on Survival by Reconstruction of Patient-Level Data and Generation of a Multi-Trial Kaplan-Meier Curve [PDF]
Cureus, 2021 Introduction In conducting a survival meta-analysis, the typical methodological approach analyses the hazard ratios (HRs) of individual trials and then combines them into a pooled meta-analytical estimate.
A. Messori
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Reconstructing patient level survival data from published Kaplan-Meier curves [PDF]
Contemporary Clinical Trials CommunicationsIntroduction: Individual-level patient data (IPD) are helpful for designing clinical trials, conducting meta-analyses, or methodology research. However, such patient level data are not readily available.
Jaromme Kim +2 more
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Reconstructing Time-to-event Data from Published Kaplan–Meier Curves
The Stata Journal, 2017 Hazard ratios can be approximated by data extracted from published Kaplan–Meier curves. Recently, this curve approach has been extended beyond hazard-ratio approximation with the capability of constructing time-to-event data at the individual level.
John Royston, Yinghui Wei
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Survival analysis (Kaplan-Meier curves): a method to predict the future [PDF]
Arq Bras Oftalmol, 2020 Submitted for publication: December 10, 2019 Accepted for publication: December 16, 2019 Funding: This study received no specific financial support.
R. Lira +2 more
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The analysis of survival data: the Kaplan–Meier method [PDF]
Kidney International, 2008 What is this patient's prognosis regarding graft rejection? Do patients using a particular drug live longer than those not using it? How does this co-morbidity affect access to transplantation? To answer this type of questions one needs to perform survival analysis.
Carmine Zoccali +2 more
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Proposals on Kaplan–Meier plots in medical research and a survey of stakeholder views: KMunicate [PDF]
BMJ Open, 2019 Objectives To examine reactions to the proposed improvements to standard Kaplan–Meier plots, the standard way to present time-to-event data, and to understand which (if any) facilitated better depiction of (1) the state of patients over time, and (2 ...
T. Morris +5 more
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Kaplan-Meier Type Survival Curves for COVID-19: A Health Data Based Decision-Making Tool [PDF]
Frontiers in Public Health, 2021 Countries are recording health information on the global spread of COVID-19 using different methods, sometimes changing the rules after a few days. All of them are publishing the number of new individuals infected, recovered and dead individuals, along ...
J. M. Calabuig +3 more
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Comparing Kaplan‐Meier curves with the probability of agreement
Statistics in Medicine, 2020 The probability of agreement has been used as an effective strategy for quantifying the similarity between the reliability of two populations. By contrast to hypothesis testing approaches based on P‐values, the probability of agreement provides a more ...
Nathaniel T. Stevens, Lu Lu
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A Combinatoric Approach to the Kaplan-Meier Estimator
Annals of Statistics, 1985 The paper considers the Kaplan-Meier estimator \(F_ n^{KM}\) from a combinatoric viewpoint. Under the assumption that the estimated distribution F and the censoring distribution G are continuous, the combinatoric results are used to show that \(\int | \theta (z)| dF_ n^{KM}(z)\) has expectation not larger than \(\int | \theta (z)| dF(z)\) for any ...
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Life Cycle, 2023 In medical research, analyzing the time it takes for a phenomenon to occur is sometimes crucial. However, various factors can contribute to the length of survival or observation periods, and removing specific data can lead to bias results. In this paper,
S. Lee
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