Results 171 to 180 of about 309,621 (292)

Covariate-Adjusted Group Sequential Comparisons of Survival Probabilities. [PDF]

Stat Med
Zhang P, Logan B, Martens MJ.
europepmc   +1 more source

Appendix C. Analysis of covariance model for the relationship between mode of regeneration, taxonomic family, and extant density of plant species, with estimated canopy seed store size per plant as covariate, for four high-diversity shrubland sites near Eneabba, southwestern Australia.

, 2016
Neal J. Enright, Eva Mosner, Ben P. Miller, Nancy Collins Johnson, Byron B. Lamont   +4 more
openalex   +1 more source

Use of a Molecular Signature Response Classifier to Inform Treatment Selection Improves Clinical Disease Activity Among Patients with Rheumatoid Arthritis Initiating a Biologic or Targeted Synthetic Disease‐Modifying Antirheumatic Drug

Arthritis Care &Research, EarlyView.
Objective We assessed the effectiveness of PrismRA to improve clinical outcomes among patients with rheumatoid arthritis (RA) initiating treatment with a biologic or targeted synthetic disease‐modifying antirheumatic drug (b/tsDMARD). Methods PrismRA incorporated 19 gene expression features and four clinical features to assess a patient's likelihood of
Fenglong Xie, Timothy Beukelman, Nicholas P. McCormick, Jeffrey R. Curtis   +3 more
wiley   +1 more source

Regression approaches for modeling genotype-environment interaction and making predictions into unseen environments. [PDF]

Theor Appl Genet
Hrachov M, Piepho HP, Rahman NMF, Malik WA.   +3 more
europepmc   +1 more source

Spatial modeling, covariate measurement error and design issues in environmental epidemiology

, 2016
Md Hamidul Huque
openalex   +1 more source

PRELIVE: A Framework for Predicting Lipid Nanoparticles In Vivo Efficacy and Reducing Reliance on Animal Testing

Advanced Functional Materials, EarlyView.
PREdicting LNP In Vivo Efficacy (PRELIVE) framework enables the prediction of lipid nanoparticle (LNPs) organ‐specific delivery through dual modeling approaches. Composition‐based models using formulation parameters and protein corona‐based models using biological fingerprints both achieve high predictive accuracy across multiple organs.
Belal I. Hanafy, Chuan‐En Lu, Kai Liu, Audrey Gallud   +3 more
wiley   +1 more source

Brain Amyloid Plaque Levels Affect Clinical Progression in Alzheimer Disease: Assessment of Amyloid PET and Change in CDR-SB Utilizing Semi-Mechanistic Model. [PDF]

CPT Pharmacometrics Syst Pharmacol
Bhagunde P, Penner N, Willis BA, Bell R, Charil A, Irizarry MC, Hersch S, Reyderman L.   +7 more
europepmc   +1 more source

Contributions of each component in WQS regression for BFRs on hyperuricemia with full covariate adjustment.

Yu Cai (112178), Xi-Ru Huang (21608730), Sheng-Jia Wang (1390105), Ying-Chao Liang (18267388), De-Liang Liu (12884227), Shu-Fang Chu (2650678), Hui-Lin Li (4962388)   +6 more
openalex   +1 more source

Marginal quantile regression for longitudinal data analysis in the presence of time-dependent covariates

, 2020
I‐Chen Chen, Philip M. Westgate
openalex   +2 more sources

Energy Consumption Optimization in Trajectory Planning for Fuel Cell Hybrid Uavs Based On HMPC

Advanced Robotics Research, EarlyView.
The endurance limitation of multirotor drones is a critical challenge. This study adopts a hybrid power system of fuel cells and lithium‐ion batteries. Using Nondominated Sorting Genetic Algorithm II, it integrates trajectory planning with energy management optimization.
Xindi Wang, Jianyang Dong, Yongming Yao, Kaijin Hu, Jianxiong Cui, Yikai Luo, Jiawen Zhang, Shichao Niu   +7 more
wiley   +1 more source