Results 191 to 200 of about 13,855,951 (296)

Measurement Model Misspecification in Dynamic Structural Equation Models: Power, Reliability, and Other Considerations. [PDF]

Struct Equ Modeling
Oh H, Hunter MD, Chow SM.
europepmc   +1 more source

Detecting Model Misspecification in Bayesian Piecewise Growth Models

Supplemental Materials for a Manuscript Titled: "Detecting Model Misspecification in Bayesian Piecewise Growth ...
Sarah Depaoli, Fan Jia, Ihnwhi Heo
core   +1 more source

Intranasal diamorphine population pharmacokinetics modeling and simulation in pediatric breakthrough pain

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 435-447, March 2025.
Abstract Intranasal diamorphine (IND), approved for managing breakthrough pain in the UK, has been identified as an acceptable alternative offering effective, expedient, and less traumatic analgesia for children. However, the current dose regimen in pediatric populations relies on clinical expertise while the pharmacokinetics properties are poorly ...
Lianjin Cai, Jingchen Zhai, Beihong Ji, Fengyang Han, Taoyu Niu, Luxuan Wang, Junmei Wang   +6 more
wiley   +1 more source

Power analyses for measurement model misspecification and response shift detection with structural equation modeling. [PDF]

Qual Life Res
Verdam MGE.
europepmc   +1 more source

Semi‐mechanistic population PK/PD model to aid clinical understanding of myelodysplastic syndromes following treatment with Venetoclax and Azacitidine

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 448-459, March 2025.
Abstract Myelodysplastic syndromes (MDS) represent a group of bone marrow disorders involving cytopenias, hypercellular bone marrow, and dysplastic hematopoietic progenitors. MDS remains a challenge to treat due to the complex interplay between disease‐induced and treatment‐related cytopenias.
Neha Thakre, Corinna Maier, Jiuhong Zha, Benjamin Engelhardt, Johannes E. Wolff, Sven Mensing   +5 more
wiley   +1 more source

Model misspecification, measurement error, and apparent supralinearity in the concentration-response relationship between PM2.5 and mortality. [PDF]

PLoS One
Glasgow G, Ramkrishnan B, Smith AE.
europepmc   +1 more source

Mirikizumab pharmacokinetics and exposure–response in pediatric patients with moderate‐to‐severe ulcerative colitis

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 474-485, March 2025.
Abstract Mirikizumab is a p19‐directed anti‐interleukin‐23 antibody approved for the treatment of adults with moderate‐to‐severe ulcerative colitis (UC). Here, we report the first data of mirikizumab pharmacokinetics (PK) and exposure–response (E/R) relationships in pediatric participants (aged 2 to <18 years weighing >10 kg) with moderate‐to‐severe UC
Yuki Otani, Laiyi Chua, Wendy J. Komocsar, Amy Larkin, Jordan Johns, Xin Zhang   +5 more
wiley   +1 more source

Adjustment of model misspecification in estimation of population total under ranked set sampling through balancing. [PDF]

Heliyon
Ahmed S, Shabbir J, Alshanbari HM, Anjum S, El-Bagoury AAH.   +4 more
europepmc   +1 more source

Advancing pharmacometrics in Africa—Transition from capacity development toward job creation

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 407-419, March 2025.
Abstract Trained pharmacometricians remain scarce in Africa due to limited training opportunities, lack of a pharmaceutical product development ecosystem, and emigration to high‐income countries. The Applied Pharmacometrics Training (APT) fellowship program was established to address these gaps and specifically foster job creation for talent retention.
Goonaseelan (Colin) Pillai, Samer Mouksassi, Innocent G. Asiimwe, Craig R. Rayner, Steven Kern, Phumla Sinxadi, Paolo Denti, Eric Decloedt, Catriona Waitt, Bernhards R. Ogutu, Rik de Greef   +10 more
wiley   +1 more source

Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 540-550, March 2025.
ABSTRACT We employed a mechanistic learning approach, integrating on‐treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post‐progression survival (PPS)—the duration from the time of documented disease progression to death—and overall survival (OS) in Head and Neck Squamous Cell ...
Kevin Atsou, Anne Auperin, Jôel Guigay, Sébastien Salas, Sebastien Benzekry   +4 more
wiley   +1 more source