Results 61 to 70 of about 405,072 (267)

Prognostic Impact of Treatment Modalities, Including Targeted Compartmental Radio‐Immunotherapy, in a Cohort of Neuroblastoma Patients With CNS Metastases at Relapse

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction Neuroblastoma (NB) with central nervous system (CNS) metastases is rare at diagnosis, but occurs more often during relapse/progression. Patients with CNS metastases face a dismal prognosis, with no standardized curative treatment available.
Vicente Santa‐Maria Lopez, Anna Felip‐Badia, Marina Caballero‐Bellon, Nazaret Sanchez‐Sierra, Alicia Castañeda, Moira Garraus, Maite Gorostegui, Margarida Simão‐Rafael, Juan Pablo Muñoz, Marta Perez‐Somarriba, Salvador Mañe, Mariana Cecilia Planells, Sara Perez‐Jaume, Jaume Mora   +13 more
wiley   +1 more source

Optimal Imputation Methods under Stratified Ranked Set Sampling

Revstat Statistical Journal
It is long familiar that the stratified ranked set sampling (SRSS) is more efficient than ranked set sampling (RSS) and stratified random sampling (StRS). The existence of missing values alter the final inference of any study.
Shashi Bhushan , Anoop Kumar
doaj   +1 more source

On Some Improved Class of Estimators by Using Stratified Ranked Set Sampling

Mathematics, 2022
In this manuscript, we propose the combined and separate difference and ratio type estimators of population mean using stratified ranked set sampling. Additionally, several well-known estimators are identified as the sub-class of the suggested estimators.
Shashi Bhushan, Anoop Kumar, Usman Shahzad, Amer Ibrahim Al-Omari, Ibrahim Mufrah Almanjahie   +4 more
doaj   +1 more source

Approximating Word Ranking and Negative Sampling for Word Embedding [PDF]

, 2018
CBOW (Continuous Bag-Of-Words) is one of the most commonly used techniques to generate word embeddings in various NLP tasks. However, it fails to reach the optimal performance due to uniform involvements of positive words and a simple sampling ...
Guo, Guibing, Ouyang, Shichang, Wang, Xingwei, Yuan, Fajie   +3 more
core   +1 more source

Improved Estimation from Ranked Set Sampling

Hacettepe Journal of Mathematics and Statistics, 2014
Ranked set sampling is used when the measurement or quantification of units of the variable under study is difficult but the ranking of units of sets of small sizes can be done easily by an inexpensive method. Dell and Clutter (1972) showed that the sample mean based on ranked set sample is more efficient than the sample mean based on simple random ...
ARNAB, Raghunath, OLAOMİ, J.o.
openaire   +2 more sources

Psychological Safety Among Interprofessional Pediatric Oncology Teams in Germany: A Nationwide Survey

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Psychological safety (PS) is essential for teamwork, communication, and patient safety in complex healthcare environments. In pediatric oncology, interprofessional collaboration occurs under high emotional and organizational demands. Low PS may increase stress, burnout, and adverse events.
Alexandros Rahn, Anna‐Lena Herbach, Christian Bock, Katharina Fleig, Urs Mücke   +4 more
wiley   +1 more source

Ranked Set Sampling Based Regression Estimators in Two-Stage Sampling Design

Journal of Statistical Theory and Applications (JSTA)
This paper examines the use of ranked set sampling in the second stage of the two-stage sampling design to improve the regression estimator. The mean square errors of the suggested estimators are computed, and both theoretical and simulation results ...
Worthing Yanglem, Phrangstone Khongji
doaj   +1 more source

WITHDRAWN: Cumulative residual extropy of minimum ranked set sampling with unequal samples

Results in Applied Mathematics, 2021
The Publisher regrets that this article is an accidental duplication of an article that has already been published in RINAM, volume 10 (2021) 100156, http://dx.doi.org/10.1016/j.rinam.2021.100156.
Mohammad Reza Kazemi, Saeid Tahmasebi, Camilla Calì, Maria Longobardi   +3 more
doaj   +1 more source

LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates [PDF]

, 2016
State-of-the-art item recommendation algorithms, which apply Factorization Machines (FM) as a scoring function and pairwise ranking loss as a trainer (PRFM for short), have been recently investigated for the implicit feedback based context-aware ...
Chen, Long, Guo, Guibing, Jose, Joemon M., Yu, Haitao, Yuan, Faije, Zhang, Weinan   +5 more
core   +1 more source

Two-Layer Median Ranked Set Sampling

Hacettepe Journal of Mathematics and Statistics, 2019
In this article, we proposed two-layer median ranked set sampling (TMRSS) design that combines median ranked set sampling (MRSS) and two-layer ranked set sampling (TRSS). Ranked set sampling (RSS) is an alternative sampling method that can improve the efficiency of estimators when exact measurement of response variable is either difficult, time ...
Begüm KARA GÜLAY, Neslihan DEMİREL
openaire   +4 more sources