Results 21 to 30 of about 1,792,800 (248)
Weighted average scores for future propensity predictions.
, 2023 Weighted average scores for future propensity predictions.
Federico Miconi (14486304) +1 more
core +1 more source
On using a non-probability sample for the estimation of population parameters
Lietuvos Matematikos Rinkinys, 2023 We aim to find a way to effectively integrate a non-probability (voluntary) sample under the data framework, where the study variable is also observed in a probability sample of some statistical survey.
Ieva Burakauskaitė, Andrius Čiginas
doaj +3 more sources
Adding propensity scores to pure prediction models fails to improve predictive performance [PDF]
PeerJ, 2013 Background. Propensity score usage seems to be growing in popularity leading researchers to question the possible role of propensity scores in prediction modeling, despite the lack of a theoretical rationale. It is suspected that such requests are due to
Amy S. Nowacki +3 more
doaj +2 more sources
Pediatric Blood &Cancer, EarlyView.ABSTRACT Background Cytomegalovirus (CMV) is a recognized trigger of immune thrombocytopenia (ITP); however, its incidence and impact on disease course in children remain controversial. Therefore, we aimed to characterize the clinical course of pediatric patients with CMV‐associated ITP.
Oded Gilad +9 more
wiley +1 more source
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose To explore caregivers' experiences and perceptions of the nutritional challenges faced by children and adolescents undergoing cancer treatment, including oral intake and the use of nutritional support. Methods This was a qualitative study based on focus groups with parents and caregivers at a Brazilian pediatric oncology hospital ...
Danyelle Apparecida Balsamão Marques +5 more
wiley +1 more source
BMC Medical Research Methodology, 2020 Background Propensity scores are widely used to deal with confounding bias in medical research. An incorrectly specified propensity score model may lead to residual confounding bias; therefore it is essential to use diagnostics to assess propensity ...
Emily Granger +3 more
doaj +1 more source
Predicting Risk Propensity Through Player Behavior in DOTA 2: A Cross-Sectional Study
Frontiers in Psychology, 2022 As traditional methods such as questionnaires for measuring risk propensity are not applicable in some scenarios, a nonintrusive method that could automatically identify individuals' risk propensity could be valuable.
Sihua Lyu +8 more
doaj +1 more source
Distribution of propensity scores pre-match and post-match propensity score matching.
, 2023 Distribution of propensity scores pre-match and post-match propensity score matching.
Whanhee Lee (4421353) +9 more
core +1 more source
Pediatric Blood &Cancer, EarlyView.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
Therapeutic Apheresis and Dialysis, EarlyView.ABSTRACT Background Patients with chronic kidney disease undergoing hemodialysis commonly experience reduced physical function, fatigue, poor sleep quality, and impaired health‐related quality of life. Intradialytic exercise has been proposed as a non‐pharmacological strategy to improve these outcomes.
Klebson da Silva Almeida +6 more
wiley +1 more source