Results 81 to 90 of about 2,029,988 (242)

Immunoglobulin Depletion and Recovery Following Blinatumomab in Infants With KMT2A‐Rearranged ALL

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Adding blinatumomab to standard chemotherapy for infants with KMT2A‐rearranged acute B‐cell lymphoblastic leukemia (KMT2A‐r B‐ALL) improves outcomes. Although blinatumomab impairs immunoglobulin G (lgG) production, increasing infection susceptibility, IgG recovery remains poorly understood.
Miguel Vieira Martins, Paola de Lorenzo, Rishi S. Kotecha, Andishe Attarbaschi, Gabriele Escherich, Karsten Nysom, Jan Stary, Alina Ferster, Benoit Brethon, Franco Locatelli, Martin Schrappe, Peggy E. Scholte‐van Houtem, Maria G. Valsecchi, Rob Pieters, Inge M. van der Sluis   +14 more
wiley   +1 more source

Estimating Average Treatment Effects With Support Vector Machines

Statistics in Medicine
ABSTRACT Support vector machine (SVM) is one of the most popular classification algorithms in the machine learning literature. We demonstrate that SVM can be used to balance covariates and estimate average causal effects under the unconfoundedness assumption.
Alexander Tarr, Kosuke Imai
openaire   +3 more sources

Bridging the Gap in Neuroblastoma Care: Consensus‐Based Statements With Recommendations for Improved Patient and Caregiver Experiences

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Neuroblastoma's complex, heterogeneous biology poses significant diagnostic and therapeutic challenges, often requiring caregivers to absorb complex information and participate in time‐sensitive decisions. However, caregivers often feel unprepared to evaluate options.
Vickie Buenger, Joseph Bauer, Jennifer Diamond, Maggie Fader, Shae Hansen, Jacqueline M. Kraveka, Johanna Schoen, Amber Shearer, Dena Sherwood   +8 more
wiley   +1 more source

A Class of Unbiased Estimators of the Average Treatment Effect in Randomized Experiments

Journal of Causal Inference, 2013
We derive a class of design-based estimators for the average treatment effect that are unbiased whenever the treatment assignment process is known. We generalize these estimators to include unbiased covariate adjustment using any model for outcomes that ...
Aronow Peter M., Middleton Joel A.
doaj   +1 more source

Admixture Mapping Reveals Candidate Regions for Methotrexate Neurotoxicity Susceptibility: A Reducing Disparities in Acute Leukemia Consortium Report

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Neurotoxicity is a rare, often dose‐limiting adverse effect of methotrexate (MTX) therapy that disproportionally affects Latino children. Factors contributing to the observed disparity are not well understood. This study leveraged admixture mapping to identify genetic regions associated with MTX‐related neurotoxicity susceptibility ...
Rachel D. Harris, Priya B. Shetty, Olga A. Taylor, Elizabeth G. Atkinson, Melissa A. Richard, M. Monica Gramatges, Mark Zobeck, Sandi Pruitt, Amy Hughes, M. Brooke Bernhardt, Ashley Chavana, Van Huynh, Kathleen Ludwig, Laura Klesse, Kenneth Heym, Timothy Griffin, Rodrigo Erana, Juan Carlos Bernini, Han Chen, Bing Yu, Philip J. Lupo, Karen R. Rabin, Michael E. Scheurer, Austin L. Brown, The REDIAL Consortium   +24 more
wiley   +1 more source

The Ecological ICMS as Inducer in the Creation of Protected Areas in Brazil: An Assessment of Policy in the States of Pernambuco, Paraná and Bahia

Desenvolvimento em Questão, 2019
The main objective of this paper is to evaluate the effectiveness of the ecological ICMS to induce the creation of conservation units in Brazil, by analyzing the results of this policy in the municipalities of the Brazilian states of Paraná, Pernambuco ...
Luiz Honorato da Silva Júnior, Beatriz Mesquita Jardim Pedrosa, Liedje Bettizaide Oliveira de Siqueira, Monaliza de Oliveira Ferreira   +3 more
doaj   +1 more source

Impact of Metastatic Patterns on Survival and Response to Therapy in Neuroblastoma

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background While the presence of metastases in neuroblastoma (NB) is a well‐established prognostic factor, the clinical significance of dissemination patterns and tumour burden and their impact on response and survival remains poorly understood.
Mariona Morell‐Daniel, Santiago Pérez‐Hoyos, Aroa Soriano, Ana Coma, Amalia Varo, Raquel Hladun, Gabriela Guillén, Soraya Mico, Marta Garrido, Lourdes Rubio, Alba Rubio‐San‐Simón, Ana Minguez, Ricardo López‐Almaraz, Laura Illade, Miguel F. Segura, Lucas Moreno   +15 more
wiley   +1 more source

Inpatient Exposure, Confidence, and Knowledge in Pediatric Hematology/Oncology: Evaluating General Pediatric Residents During 2025 ACGME Curriculum Change

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background General pediatricians often evaluate hematologic and oncologic presentations before subspecialty consultation, yet the 2025 Accreditation Council for Graduate Medical Education (ACGME) pediatric requirements reduce inpatient pediatric hematology/oncology (PHO) time, raising questions about resident readiness.
Colburn Yu, Rohini Jain
wiley   +1 more source

Generalized coarsened confounding for causal effects: a large-sample framework

Journal of Causal Inference
There has been widespread use of causal inference methods for the rigorous analysis of observational studies and to identify policy evaluations. In this article, we consider a class of generalized coarsened procedures for confounding.
Ghosh Debashis, Wang Lei
doaj   +1 more source

Estimation of the Local Conditional Tail Average Treatment Effect

Journal of Business & Economic Statistics
The conditional tail average treatment effect (CTATE) is defined as a difference between the conditional tail expectations (CTE’s) of potential outcomes, which can capture heterogeneity and deliver aggregated local information on treatment effects over different quantile levels and is closely related to the notion of second-order stochastic dominance ...
Chen, Le-Yu, Yen, Yu-Min
openaire   +3 more sources