Results 131 to 140 of about 100,255 (311)
Optimally combining Censored and Uncensored Datasets [PDF]
We develop a simple semiparametric framework for combining censored and uncensored samples so that the resulting estimators are consistent, asymptotically normal, and use all information optimally.
Paul J. Devereux, Gautam Tripathi
core
Cumulative Antigen Suppression Reduces Clonal Plasma Cell Evolution in Gaucher Disease
ABSTRACT Chronic antigenic stimulation is implicated in the pathogenesis of monoclonal gammopathy and multiple myeloma, yet longitudinal human evidence linking sustained antigen exposure to modifiable clonal plasma cell evolution remains limited. Gaucher disease (GD), caused by biallelic GBA1 pathogenic variants, is characterized by accumulation of ...
Noor Ul Ain +10 more
wiley +1 more source
The increasing prominence of the problem of censored data in various fields has made studying how to perform parameter estimation and variable selection in censored mixed-effects models one of the hotspots of current research.
Ke Zhao, Ting Shu, Chaozhu Hu, Youxi Luo
doaj +1 more source
Two-step estimation of simultaneous equation panel data models with censored endogenous variables
This paper presents some two-step estimators for a wide range of parametric panel data models with censored endogenous variables and sample selection bias.
Vella, F., Verbeek, M.J.C.M.
core
ABSTRACT Quizartinib is a tyrosine kinase inhibitor with single agent activity in patients with relapsed or refractory (R/R) acute myeloid leukemia (AML) and has demonstrated efficacy in first‐line therapy when combined with intensive chemotherapy in both FLT3 ITD‐negative and positive AML.
Teresa Bernal +29 more
wiley +1 more source
Middle-censoring is a general censoring mechanism. In middle-censoring, the exact lifetimes are observed only for a portion of the units and for others, we can only know the random interval within which the failure occurs.
Shan Liang, Wenhao Gui
doaj +1 more source
Sparse Estimation and Inference for Censored Median Regression
Censored median regression models have been shown to be useful for analyzing a variety of censored survival data with the robustness property. We study sparse estimation and inference of censored median regression.
Shows, Justin Hall
core
ABSTRACT Vascular Ehlers–Danlos syndrome (vEDS) is a hereditary connective tissue disorder caused by heterozygous pathogenic variants in COL3A1. European studies have shown that celiprolol may reduce the risk of life‐threatening vascular events, but outcomes in non‐European populations and the therapy's psychological impact remain unclear. We conducted
Megumi Furuhata‐Yoshimura +2 more
wiley +1 more source
Using Quantile Regression for Duration Analysis [PDF]
Quantile regression methods are emerging as a popular technique in econometrics and biometrics for exploring the distribution of duration data. This paper discusses quantile regression for duration analysis allowing for a flexible specification of the ...
Wilke, Ralf A., Fitzenberger, Bernd
core
ABSTRACT Background Chronic rhinosinusitis (CRS) represents a spectrum of inflammatory endotypes, driven by distinct T helper (Th) immune responses. The high rate of recurrent disease despite appropriate medical and surgical interventions highlights the need for improved characterization beyond the traditional type 2 and non‐type 2 phenotypes to better
Liyona Kampel +9 more
wiley +1 more source

