Results 241 to 250 of about 780,798 (295)
A cascade‐responsive MXene@Cu‐MOF/GelMA hydrogel is engineered as a “skeleton–backpack” platform for extensive tracheal repair. The MXene framework scavenges postoperative ROS and converts NIR light into mild hyperthermia, while the Cu‐MOF component provides pH/NIR‐responsive Cu2+ dosing for infection control, angiogenesis, and chondrogenesis.
Liang Guo +8 more
wiley +1 more source
This study develops a GSH‐responsive nanoplatform, NP@Fla‐Cu, to co‐activate cuproptosis and excessive mitophagy in uveal melanoma. The nanoplatform enhances tumor‐specific copper delivery, depletes antioxidant defenses, and remodels the tumor immune microenvironment.
Hong Ren +5 more
wiley +1 more source
This study presents a 3D embedded bioprinting platform that recapitulates key stromal features of the tumor microenvironment using fibroblasts and lung‐derived ECM. The model enables functional assessment of CAR‐NK cells and provides a versatile tool to support the development of next‐generation immunotherapeutic strategies against solid tumors ...
Dahong Kim +10 more
wiley +1 more source
Considering the great challenge in Glioblastoma multiforme (GBM) treatment, the authors designed and synthesized a multifunctional nanoplatform that effectively induced ferroptosis by synergetically inhibiting intrinsic intrisinc anti‐ferroptosis proteins, GPX4 & DHODH, and realized excellent in vitro and in vivo anti‐GBM effect.
Guodong Ren +12 more
wiley +1 more source
Wasserstein-Kaplan-Meier Survival Regression
Yidong Zhou, Hans-Georg Müller
openaire +1 more source
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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
exaly +5 more sources
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
exaly +5 more sources
Expert Kaplan–Meier estimation [PDF]
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
openaire +2 more sources
Inappropriate censoring in Kaplan-Meier analyses
The Lancet Oncology, 2021Tito, Fojo, Richard M, Simon
openaire +4 more sources
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.
openaire +2 more sources
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.
openaire +2 more sources
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
openaire +1 more source
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
openaire +1 more source

