Results 51 to 60 of about 1,660,493 (261)
Principled Missing Data Treatments
We review a number of issues regarding missing data treatments for intervention and prevention researchers. Many of the common missing data practices in prevention research are still, unfortunately, ill-advised (e.g., use of listwise and pairwise deletion, insufficient use of auxiliary variables).
Lang, Kyle, Little, Todd D.
openaire +4 more sources
Health Literacy, Self‐Efficacy and Knowledge of Sickle Cell Disease Among Caregivers
ABSTRACT Background Sickle cell disease (SCD) is a hereditary blood disorder in which abnormal haemoglobin leads to severe anaemia, painful crises and organ failure. Caregivers’ health literacy (HL) – their ability to assess, understand and apply information, and interact with healthcare professionals – is crucial for managing children with SCD, yet ...
Melanie Bruinooge +6 more
wiley +1 more source
An [Imperfect] Case for Dyadic Research in Pediatric Psychosocial Oncology
Pediatric Blood &Cancer, EarlyView.
Stephanie M. Nanos +2 more
wiley +1 more source
ABSTRACT Background Leukemia is the most common childhood cancer in Mexico, and acute lymphoblastic leukemia (ALL) is the most frequent subtype. Exposure to high concentrations of benzene has been associated with ALL incidence, particularly in urban areas. This study evaluated the relationship between distance to benzene emission sources and the number
Orlando Rivera Zurita +5 more
wiley +1 more source
Ton J. Cleophas, Aeilko H. Zwinderman
openaire +3 more sources
Early Impact of Childhood Opportunity on Neurocognitive Outcomes in Sickle Cell Disease
ABSTRACT Introduction Neurocognitive impairment is a well‐recognized complication of sickle cell disease (SCD) that begins early in childhood and persists across development. While cerebrovascular injury contributes substantially to risk, neurocognitive deficits are also observed in children without overt or silent cerebral infarctions, suggesting ...
Julia E. LaMotte +5 more
wiley +1 more source
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 +2 more
doaj +1 more source
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 +2 more
doaj +1 more source
Informative missingness in electronic health record systems: the curse of knowing
Electronic health records provide a potentially valuable data source of information for developing clinical prediction models. However, missing data are common in routinely collected health data and often missingness is informative.
Rolf H. H. Groenwold
doaj +1 more source
ABSTRACT Background Pediatric bone sarcoma patients and survivors may experience psychosocial challenges related to childhood cancer after their intensive, body‐altering treatment. This cross‐sectional study aimed to evaluate generic and survivor‐specific psychosocial outcomes in a national cohort of pediatric bone sarcoma patients and survivors, and ...
Hinke van der Hoek +14 more
wiley +1 more source

