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Proton FLASH Exposure Preserves Gut Commensal Microbiomes and Spares Intestinal Stem Cells
Advanced Science, EarlyView.This study highlights the role of Proton FLASH abdominal irradiation in sparing of intestinal stem cells and preservation of key gut microbial population resulting minimization of radiation toxicity in intestinal epithelium in mice. Our findings support the potential of Proton FLASH to improve the therapeutic ratio for abdominal radiation exposure ...
Rishi Man Chugh +11 more
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Wasserstein-Kaplan-Meier Survival Regression
Journal of Computational and Graphical StatisticsYidong Zhou, Hans-Georg Müller
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Expert Kaplan–Meier estimation [PDF]
Scandinavian Actuarial Journal, 2023 The setting of a right-censored random sample subject to contamination is considered. In various fields, expert information is often available and used to overcome the contamination. This paper integrates expert knowledge into the product-limit estimator in two different ways with distinct interpretations.
Martin Bladt, Christian Furrer
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Biometrics, 1983
The asymptotic efficiency of the Kaplan-Meier product-limit estimator, relative to the maximum likelihood estimator of a parametric survival function, is examined under a random-censoring model.
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The asymptotic efficiency of the Kaplan-Meier product-limit estimator, relative to the maximum likelihood estimator of a parametric survival function, is examined under a random-censoring model.
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Giornale italiano di nefrologia : organo ufficiale della Societa italiana di nefrologia, 2005
Kaplan-Meier analysis is largely used in nephrology to estimate a population survival curve from a sample. If patients are followed-up until death, the survival curve can be estimated simply by computing the fraction survival at each time point. Kaplan-Meier analysis allows the estimation of survival over time, even when patients drop out or are ...
G, Tripepi, F, Catalano
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Kaplan-Meier analysis is largely used in nephrology to estimate a population survival curve from a sample. If patients are followed-up until death, the survival curve can be estimated simply by computing the fraction survival at each time point. Kaplan-Meier analysis allows the estimation of survival over time, even when patients drop out or are ...
G, Tripepi, F, Catalano
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Journal of the American Statistical Association, 2004
Miller has studied the asymptotic efficiency of the nonparametric, Kaplan–Meier survival estimator relative to parametric estimates based on the exponential and Weibull distributions. He concluded that in certain cases, the asymptotic efficiency is low and recommended that analysts give more consideration to parametric estimators, particularly for ...
Paul Meier +3 more
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Miller has studied the asymptotic efficiency of the nonparametric, Kaplan–Meier survival estimator relative to parametric estimates based on the exponential and Weibull distributions. He concluded that in certain cases, the asymptotic efficiency is low and recommended that analysts give more consideration to parametric estimators, particularly for ...
Paul Meier +3 more
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2003
Publisher Summary The Kaplan–Meier (K–M) integrals are analogs of empirical integrals when the data are subject to right censoring. They may be viewed as basic statistics to which more complicated quantities may be traced back through linearization.
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Publisher Summary The Kaplan–Meier (K–M) integrals are analogs of empirical integrals when the data are subject to right censoring. They may be viewed as basic statistics to which more complicated quantities may be traced back through linearization.
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Understanding Kaplan-Meier and Survival Statistics
The International Journal of Prosthodontics, 2013This paper aims to explore the mathematics of Kaplan-Meier and survival statistics, explain how the mathematics are relevant for prosthodontic treatment planning, and provide advice for future presentation of such data.The mathematics of the Kaplan-Meier and related survival statistic formulas were explored with hypothetical data consisting of 100 ...
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Bootstrapping the Kaplan-Meier Estimator
Journal of the American Statistical Association, 1986Abstract Randomly censored data consist of iid pairs of observations (Xi, δi), i = 1, …, n; if δ i = 0, Xi denotes a censored observation, and if δ i = 1, Xi denotes an exact “survival” time, which is the variable of interest. For estimating the distribution F of the survival times, the product-limit estimator proposed by Kaplan and Meier (1958) has ...
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Teaching Statistics, 2016
SummarySurvival is difficult to estimate when observation periods of individuals differ in length. Students imagine sailing the Titanic and then recording whether they "live" or "die". A clever algorithm is performed which results in the Kaplan‐Meier estimate of survival.
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SummarySurvival is difficult to estimate when observation periods of individuals differ in length. Students imagine sailing the Titanic and then recording whether they "live" or "die". A clever algorithm is performed which results in the Kaplan‐Meier estimate of survival.
openaire +2 more sources