Results 51 to 60 of about 32,657 (252)

A COMPARISON OF NONPARAMETRIC ESTIMATORS FOR LENGTH DISTRIBUTION IN LINE SEGMENT PROCESSES

open access: yesImage Analysis and Stereology, 2019
We study nonparametric estimation of the length distribution for stationary line segment processes in the d-dimensional Euclidean space. Several methods have been proposed in the literature. We review different approaches (Horvitz-Thompson type estimator,
Zbynek Pawlas, Marketa Zikmundova
doaj   +1 more source

Turnbull versus Kaplan-Meier estimators of cure rate estimation using interval censored data [PDF]

open access: yes, 2012
This study deals with the analysis of the cure rate estimation based on the Bounded Cumulative Hazard (BCH) model using interval censored data, given that the exact distribution of the data set is unknown.
Abu Bakar, Mohd Rizam   +2 more
core  

Learning Valuation Distributions from Partial Observation

open access: yes, 2014
Auction theory traditionally assumes that bidders' valuation distributions are known to the auctioneer, such as in the celebrated, revenue-optimal Myerson auction.
Blum, Avrim   +2 more
core   +1 more source

Engineered extracellular vesicles enriched with the miR‐214/199a cluster enhance the efficacy of chemotherapy in ovarian cancer

open access: yesMolecular Oncology, EarlyView.
Loss of the miR‐214/199a cluster is associated with recurrence in ovarian cancer. Engineered small extracellular vesicles (m214‐sEVs) elevate miR‐214‐3p/miR‐199a‐5p in tumor cells, suppress β‐catenin, TLR4, and YKT6 signaling, reprogram tumor‐derived sEV cargo, reduce chemoresistance and migration, and enhance carboplatin efficacy and survival in ...
Weida Wang   +12 more
wiley   +1 more source

Asymptotic convergence in distribution of the area bounded by prevalence-weighted Kaplan–Meier curves using empirical process modelling [PDF]

open access: yesRoyal Society Open Science, 2018
The Kaplan–Meier product-limit estimator is a simple and powerful tool in time to event analysis. An extension exists for populations stratified into cohorts where a population survival curve is generated by weighted averaging of cohort-level survival ...
Aaron Heuser   +2 more
doaj   +1 more source

Single index regression models in the presence of censoring depending on the covariates [PDF]

open access: yes, 2013
Consider a random vector (X',Y)', where X is d-dimensional and Y is one-dimensional. We assume that Y is subject to random right censoring. The aim of this paper is twofold. First, we propose a new estimator of the joint distribution of (X',Y)'.
Lopez, Olivier   +2 more
core   +3 more sources

Interrogating the immune landscape of microsatellite stable RAS‐mutated colon cancer

open access: yesMolecular Oncology, EarlyView.
COLOSSUS project RAS‐mutated MSS colon cancer study explored transcriptomics and immune cell density by immunohistochemistry (IHC), Immunoscore (IS), ISIC/TuLIS scores, mutation counts, and detected different prevalences but similar microenvironment composition across immune markers with clinical relevance for future immunotherapy combination ...
Rodrigo Dienstmann   +61 more
wiley   +1 more source

Análisis de supervivencia aplicado a la banca comercial venezolana, 1996 – 2004

open access: yesRevista Colombiana de Estadística, 2007
Se utiliza el análisis de supervivencia como técnica estadística para investigar cuándo es probable que una entidad financiera cambie de estado.
MARÍA ALEJANDRA AYALA   +2 more
doaj  

Inferensi Fungsi Ketahanan Dengan Metode Kaplan-meier [PDF]

open access: yes, 2006
. Let T be a nonnegatif random variable representing the life time of individuals in some population. Life time data of individuals are devided in two kinds, cencored and uncencored data. The probability of an individual surviving till time t is given by
Andriani, N. S. (Nasichah)   +1 more
core  

An Online Updating Approach for Testing the Proportional Hazards Assumption with Streams of Big Survival Data

open access: yes, 2018
The Cox model, which remains as the first choice in analyzing time-to-event data even for large datasets, relies on the proportional hazards assumption. When the data size exceeds the computer memory, the standard statistics for testing the proportional ...
Schifano, Elizabeth D.   +3 more
core   +1 more source

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