Results 81 to 90 of about 26,443,777 (315)

Retrospective Analysis of Donor Lymphocyte Infusions in Pediatric Patients With Mixed Chimerism After Hematopoietic Stem Cell Transplantation

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Allogeneic hematopoietic stem cell transplantation (alloHSCT) is an essential therapy for several malignant and nonmalignant diseases, but relapse and graft loss remain the principal threats to its success. Routine monitoring of chimerism and minimal residual disease (MRD) enables early detection of imminent recurrence and guides ...
Carmen Junk, Sebastian Michaelis, Michaela Döring, Thomas Eichholz, Ursula Holzer, Martin Ebinger, Tim Flaadt, Rupert Handgretinger, Peter Lang, Jan Frederic Weller, Markus Mezger   +10 more
wiley   +1 more source

count-data-fat MAT-annotated.rds

, 2021
tissue-specific single-cell read count data showing the changes with ...
Robert Palovics (9552968)
core   +1 more source

Pediatric Idiopathic Multicentric Castleman Disease Is Often Severe But Responsive to Siltuximab

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Idiopathic multicentric Castleman disease (iMCD) is a potentially fatal immunologic disorder marked by widespread lymphadenopathy and inflammation. Siltuximab, an interleukin‐6 (IL‐6) inhibitor, is the only FDA‐approved treatment for adult patients with iMCD.
Bridget Austin, Sheila K. Pierson, Kelley C. Dacus, Mateo Sarmiento Bustamante, Saishravan Shyamsundar, Larissa Borys, Kayla McHugh, Abiola Irvine, Yoojin Jo, Adam Bagg, Mary Jo Lechowicz, Daisy Alapat, Amy Chadburn, Megan S. Lim, Gordan Srkalovic, Frits van Rhee, David C. Fajgenbaum, Joshua D. Brandstadter   +17 more
wiley   +1 more source

A Semiparametric Empirical Likelihood Estimation Method for Mixed Integer-Valued Autoregressive Model

Axioms
This paper investigates a first-order mixed integer-valued autoregressive model based on the binomial thinning operator. The proposed MINAR(1) model allows the count process to evolve under heterogeneous autoregressive mechanisms and therefore provides ...
Qi Li, Xiaolei Zhang, Jianhua Cheng, Dehui Wang   +3 more
doaj   +1 more source

count-data-fat BAT-annotated.rds

, 2021
tissue-specific single-cell read count data showing the changes with ...
Robert Palovics (9552968)
core   +1 more source

Referral Patterns and Diagnostic Timeliness in Pediatric Cancer: A Hospital‐Based Study in Indonesia

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Timely diagnosis and treatment are critical for improving survival among children with cancer. In low‐ and middle‐income countries (LMICs), delays are common and may be influenced by fragmented referral pathways and diagnostic limitations.
Nur Melani Sari, Regina Hadi Putri, Fatimah Assyifa, Judith Spijkerman, Gertjan Johannes Kaspers, Susi Susanah   +5 more
wiley   +1 more source

A Generalized Mixture of Geometric Distribution for Flexible Count Data Modelling

Mathematics
The geometric distribution is a fundamental model for count data and discrete-time lifetimes, but its memoryless property implies a constant hazard rate that is often too restrictive in practice.
Maher Kachour, Hassan S. Bakouch, Fatimah E. Almuhayfith, Jumanah Ahmed Darwish, Talha Arslan   +4 more
doaj   +1 more source

count-data-fat SCAT-annotated.rds

, 2021
tissue-specific single-cell read count data showing the changes with ...
Robert Palovics (9552968)
core   +1 more source

Biphasic Clinical Course of Pediatric Cytomegalovirus‐Associated Immune Thrombocytopenia: Early Poor Treatment Response but Favorable Long‐Term Outcomes

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, Ohad Atia, Osama Tanous, Dafna Brik Simon, Michal Dvori, Miriam Cohen, Tracie A. Goldberg, Efraim Bilavsky, Joanne Yacobovich, Orna Steinberg‐Shemer   +9 more
wiley   +1 more source

Linear mean-variance negative binomial models for analysis of orange tissue-culture data [PDF]

Songklanakarin Journal of Science and Technology (SJST), 2004
Negative binomial maximum likelihood regression models are commonly used to analyze overdispersed Poisson data. There are various forms of the negative binomial model with different mean-variance relationships, however, the most generally used are those ...
Naratip Jansakul, John P. Hinde
doaj