Results 51 to 60 of about 4,715,263 (253)
Improving a novel quantitative randomized response method using auxiliary variable information
In the majority of sample surveys, the variable of interest might have sensitive characteristics. Since we frequently get unrealistic responses from respondents during interviews as employing the direct method is not seen logical in these situations.
Hamed Salemian +3 more
doaj +1 more source
ABSTRACT Febrile neutropenia (FN) is a frequent and serious complication in children receiving cancer therapy. Standardizing FN management across Asia is challenging due to variable healthcare infrastructure, diagnostic capacity, and infection patterns; however, it could improve resource use and patient outcomes.
Joliza Patricia Cañeba +29 more
wiley +1 more source
ABSTRACT Background Graft‐versus‐host disease (GvHD) remains one of the most significant complications of hematopoietic stem cell transplantation (HSCT). Abatacept, a selective T‐cell costimulation modulator, is a relatively novel prophylactic agent, though pediatric data remain limited.
Matthijs D. Kruizinga +3 more
wiley +1 more source
The present study addresses the problems of mean estimation and nonresponse under the three-stage RRT model. Auxiliary information on an attribute and variable is used to propose a generalized class of exponential ratio-type estimators.
Ronald Onyango +2 more
doaj +1 more source
Throughout this article, a two-phase sampling (TPS) technique is employed to estimate the population mean of the sensitive variable. The current article endeavours to develop a chain ratio type estimator for the estimation of sensitive variable(s) in the
Sunil Kumar, Sanam Preet Kour
doaj +1 more source
ABSTRACT The medical burdens of sickle cell disease (SCD) and transfusion‐dependent β‐thalassemia (TDT) are chronic and cumulative, even in children. Yet the effects expand beyond medications and healthcare visits due to their impacts on school attendance, academic performance, and peer engagement.
Mary Ann Etling +2 more
wiley +1 more source
This paper introduced new classes of calibrated randomized response techniques (C-ORRT) models aimed at estimating sensitive information. The proposed C-ORRT models were developed by modifying existing RRT models using auxiliary variable through ...
Ahmed Audu +3 more
doaj +1 more source
ABSTRACT Central nervous system (CNS) relapse of neuroblastoma carries a poor prognosis, and craniospinal irradiation (CSI) poses substantial long‐term toxicity in young children. We report a toddler with MYCN‐amplified neuroblastoma harboring somatic ALK R1275Q who developed extensive leptomeningeal relapse with paraplegia.
Jinwoo Kim +11 more
wiley +1 more source
Variable-relevance ranking of top 10 predictors for each machine learning algorithm. (DOCX)
Ryan P. Strum +7 more
core +1 more source
An Agile Optimal Orthogonal Additive Randomized Response Model
In this paper, a new additive randomized response model has been proposed. The properties of the proposed model have been studied. It has been shown theoretically that the suggested additive model is better than the one envisaged by [1] under very ...
Tanveer A. Tarray, Housial P. Singh
doaj +1 more source

