Results 41 to 50 of about 1,792,800 (248)

Design and analysis strategies for robust microbiome ageing research

FEBS Letters, EarlyView.
The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik, İsmail Güderer, Yi Wang, Tayyaba Alvi, Prasoon Pandey, Handan Melike Dönertaş   +5 more
wiley   +1 more source

Methods for incorporating test result information within the high-dimensional propensity score framework: application in UK electronic health record data

BMC Medical Research Methodology
Background Growing availability of laboratory test result information in large healthcare databases presents opportunities to improve confounding control. Whilst information on the ordering of tests and the resulting continuous test values are available,
John Tazare, Jeremy P. Brown, Daniel R. Morales, Liam Smeeth, Stephen J. W. Evans, Ian J. Douglas, Elizabeth J. Williamson   +6 more
doaj   +1 more source

Estimated propensity scores.

, 2013
Estimated propensity scores.
Priyanka Dixit (423035), Faujdar Ram (307486), Laxmi Kant Dwivedi (423036)   +2 more
core   +1 more source

Distribution of estimated propensity scores and region of common support.

, 2021
Distribution of estimated propensity scores and region of common support.
Pallavi Rajkhowa (11619488), Matin Qaim (418476)   +1 more
core   +1 more source

Engineering peptides into antibodies—opportunities and strategies for therapeutic innovation

FEBS Letters, EarlyView.
Peptides and antibodies occupy complementary therapeutic niches. Peptides recognize difficult targets in a compact format, while antibodies add specificity, long half‐life, and effector functions. This review examines strategies that merge both modalities—peptide grafting into loops, terminal and Fc fusions, and bioconjugation—highlighting how ...
Jinling Wang, Ruslana Romaniuk, Hristo L. Svilenov   +2 more
wiley   +1 more source

Family formation and post-secondary educational attainment among community college and 4-year college students: a longitudinal study

Frontiers in Education
BackgroundEarly adulthood is a turning-point for educational attainment and family formation. Our understanding of whether family formation predicts educational attainment is incomplete for two growing populations: unmarried families and community ...
Janet E. Rosenbaum
doaj   +1 more source

Continuous versus intermittent short-acting β2-agonists nebulization as first-line therapy in hospitalized children with severe asthma exacerbation: a propensity score matching analysis

Asthma Research and Practice, 2020
Background Short-acting β2-agonist (SABA) nebulization is commonly prescribed for children hospitalized with severe asthma exacerbation. Either intermittent or continuous delivery has been considered safe and efficient.
Prapasri Kulalert, Phichayut Phinyo, Jayanton Patumanond, Chutima Smathakanee, Wantida Chuenjit, Sira Nanthapisal   +5 more
doaj   +1 more source

Partial depletion of plasminogen activator inhibitor‐1 decreases subcutaneous fat cell hypertrophy and liver cholesterol in high‐fat‐fed female mice

FEBS Letters, EarlyView.
Obesity raises blood levels of PAI‐1, a protein linked to metabolic dysfunction‐associated steatotic liver disease in people with obesity. In female mice fed a high‐fat diet, partially lowering PAI‐1 led to smaller subcutaneous fat cells and lower liver cholesterol, without changing body weight or insulin sensitivity.
Claudia E. Ramirez Bustamante, Robert Sharp, Pradip K. Saha, Elizabeth S. Anaya, Elizabeth L. Lieu, Evelyn L. de Groot, Pooja Patel, Mi Jeong Heo, Aaron R. Cox, Kang Ho Kim, Sean M. Hartig   +10 more
wiley   +1 more source

Machine learning methods for propensity and disease risk score estimation in high-dimensional data: a plasmode simulation and real-world data cohort analysis

Frontiers in Pharmacology
IntroductionMachine learning (ML) methods are promising and scalable alternatives for propensity score (PS) estimation, but their comparative performance in disease risk score (DRS) estimation remains unexplored.MethodsWe used real-world data comparing ...
Yuchen Guo, Victoria Y. Strauss, Martí Català, Annika M. Jödicke, Sara Khalid, Daniel Prieto-Alhambra, Daniel Prieto-Alhambra   +6 more
doaj   +1 more source

Pathway to Ascertain the Role of Pharmacogenomics in Healthcare Utilization Outcomes [Letter]

Pharmacogenomics and Personalized Medicine, 2021
Youssef M Roman Department of Pharmacotherapy and Outcomes Science, Virginia Commonwealth University School of Pharmacy, Richmond, VA, 23298, USACorrespondence: Youssef M RomanDepartment of Pharmacotherapy and Outcomes Science, Virginia Commonwealth ...
Roman YM
doaj