Results 71 to 80 of about 4,270,888 (278)

Outcomes of Live Virus Vaccination in Patients With Vascular Anomalies Being Treated With Sirolimus

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Live vaccination in patients with vascular anomalies (VA) receiving sirolimus remains controversial due to immunosuppressive effects and theoretical risks. Procedure This single‐center retrospective study included patients with VA less than 4 years old at the start of sirolimus therapy who were incompletely vaccinated.
Svatava Merkle, Kiersten Ricci, Kelly Blache, Rebecca A. Marsh, Adrienne M. Hammill, Elissa Engel   +5 more
wiley   +1 more source

Issues in data collection: missing data and the 2001 New Zealand census [PDF]

, 2001
Missing data plagues all surveys, and to a degree the New Zealand Census suffers from the same malaise. While it is not a high level of missingness, it is present.
Scheffer, Judi
core  

Pediatric Oncology Nursing Competencies in Latin America and the Caribbean: A Scoping Review to Inform Practice, Education, and Research

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Nurses are central to cancer care for children and adolescents, yet no comprehensive synthesis has defined essential core competencies for pediatric oncology nursing (PON) practice internationally, particularly in Latin America and the Caribbean (LAC).
Luís Carlos Lopes‐Júnior, Edmara Bazoni Soares Maia, Soad Fuentes‐Alabí, Courtney E. Sullivan, Monnie Abraham, Mauricio Maza, Liliana Vásquez Ponce, Regina Aparecida Garcia Lima   +7 more
wiley   +1 more source

Missing data [PDF]

Phlebology: The Journal of Venous Disease, 2011
Ton J. Cleophas, Aeilko H. Zwinderman
openaire   +3 more sources

Identifiability of Subgroup Causal Effects in Randomized Experiments with Nonignorable Missing Covariates

, 2014
Although randomized experiments are widely regarded as the gold standard for estimating causal effects, missing data of the pretreatment covariates makes it challenging to estimate the subgroup causal effects.
Ding, Peng, Geng, Zhi
core   +1 more source

Prevalence and Trajectory of Household Material Hardship Among Children With Advanced Cancer

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background/Objectives Families of children with advanced cancer living in poverty experience inferior outcomes including poor parent mental health and worse child quality of life. Household material hardship (HMH: food, housing, transportation, and/or utility insecurity) is a modifiable poverty exposure—and potential intervention target—that ...
Sarah Wright, Morgan A. Paul, Selena Murcia Mendez, Emily Jones, Lucille Lokko, Chelsea Heneghan, Nicholas Purol, Morgan Arnold, Rahela Aziz‐Bose, Colleen A. Kelly, Sandi L. Pruitt, Joanne Wolfe, Kira Bona, Puja J. Umaretiya   +13 more
wiley   +1 more source

Imputation estimators for unnormalized models with missing data [PDF]

, 2019
Several statistical models are given in the form of unnormalized densities, and calculation of the normalization constant is intractable. We propose estimation methods for such unnormalized models with missing data.
Kim, Jae Kwang, Kim, Jae Kwang, Matsuda, Takeru, Uehara, Masatoshi   +3 more
core   +3 more sources

Financial Burden Associated With Hospitalisation Among Families of Childhood Brain Tumours in Australia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Families of children with cancer experience significant financial strain, even with universal healthcare. Indirect costs, such as productivity losses and non‐medical expenses, are rarely included in economic evaluations, and little is known about how effectively financial aid programmes alleviate this burden. Childhood brain tumours
Megumi Lim, Natalie Bradford, David Brain, Sameera Senanayake, Sanjeewa Kularatna, Kate Young, Christine Cashion, Tim Hassall, Susanna Cramb   +8 more
wiley   +1 more source

A computational strategy for estimation of mean using optimal imputation in presence of missing observation

Scientific Reports
In this study, we suggest an optimal imputation strategy for the elevated estimation of the population mean of the primary variable utilizing the known auxiliary parameters for the missing observations.
Subhash Kumar Yadav, Gajendra K. Vishwakarma, Dinesh K. Sharma   +2 more
doaj   +1 more source

Evaluation of the Known Sub-Sequence Algorithm (KSSA) for Optimal Use in Time Series of Tuna Fishing in the Pacific Ocean

Ingeniería e Investigación
An important limitation in fisheries research using time series is the presence of missing data. An inadequate handling of these data can negatively impact the results of statistical analyses, leading to erroneous decision-making. A potential solution to
Julian Gomez, Ivan Benavides, John Selvaraj   +2 more
doaj   +1 more source