Results 221 to 230 of about 78,936 (284)

Disease Progression Mathematical Modeling With a Case Study on Hepatitis B Virus Infection

CPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 420-434, March 2025.
ABSTRACT Chronic Hepatitis B presents a significant health and socioeconomic burden. The risk of hepatocellular carcinoma remains elevated although treatments are available. Achieving an optimal treatment regimen necessitates a deep comprehension of the dynamic relationship between the virus and its host across disease states.
Clémence Boivin‐Champeaux, Nieves Velez de Mendizabal, Aksana Jones, Scott Balsitis, Stephan Schmidt, Justin S. Feigelman, Francine Johansson Azeredo   +6 more
wiley   +1 more source

Enhanced DEWMA-type control chart for process mean monitoring utilizing auxiliary information. [PDF]

Sci Rep
Masood S, Ibrar K, Movaheedi Z, Jabeen H.   +3 more
europepmc   +1 more source

A composite‐loss graph neural network for the multivariate post‐processing of ensemble weather forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
The dual graph neural network (dualGNN), trained with a composite loss combining the energy score (ES) and variogram score (VS), consistently outperformed models optimized solely for ES or the continuous ranked probability score in the multivariate setting, as well as empirical copula approaches.
Mária Lakatos
wiley   +1 more source

Winner's Curse Free Robust Mendelian Randomization with Summary Data. [PDF]

J Am Stat Assoc
Xie Z, Zhang W, Wang J, Wu C.
europepmc   +1 more source

Adaptive CUSUM Chart for Simultaneous Monitoring of Mean and Variance

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Simultaneously monitoring changes in both the mean and variance is a fundamental problem in statistical process control, and numerous methods have been developed to address it. However, many existing approaches face notable limitations: Some rely on tuning parameters that can significantly affect performance; others are biased toward detecting
Gokul Parakulum, Jun Li
wiley   +1 more source

Estimation of Conditional Standard Errors of Measurement for MLE Scores in MST. [PDF]

Educ Psychol Meas
Stirn YJ, Lee WC.
europepmc   +1 more source

A Robust Self‐Starting Bayesian Approach for Multivariate Phase II Monitoring

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Traditional multivariate control charts require in‐control (IC) parameter estimates to be known or estimated from a large set of uncontaminated, historical Phase I observations. However, some processes need to be monitored when little Phase I data are available, and self‐starting approaches, including Bayesian methods, have proven useful. Self‐
Taylor R. Grimm, Kathryn B. Newhart, Amanda S. Hering   +2 more
wiley   +1 more source

On the mixed-model analysis of covariance in cluster-randomized trials. [PDF]

Stat Sci
Wang B, Harhay MO, Tong J, Small DS, Morris TP, Li F.   +5 more
europepmc   +1 more source

A Sensitivity Analysis Workflow for Power Series Compounded Lifetime Models: Evidence From Weibull Power Series Fits

Quality and Reliability Engineering International, EarlyView.
ABSTRACT We propose a practical procedure to quantify the time varying influence of parameters on hazard functions for power series compounded lifetime models. The procedure combines likelihood based fitting with a two stage sensitivity analysis and applies to a range of baselines and compounding laws.
Yuancheng Si, Saralees Nadarajah
wiley   +1 more source

Effects of Isoacid Supplementation on In Vitro Rumen Fermentation, Nutrient Degradability and Bacterial Community Diversity Using Corn Silage-Highland Barley Straw as Substrates in Yaks. [PDF]

Microorganisms
Luo C, Jiang F, Zhong A, He X, Liu X, Huang Y, Gao Y.   +6 more
europepmc   +1 more source