Results 211 to 220 of about 30,695 (301)

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

Fair Gaussian Box ordinate transform for assessing the reliability of multivariate ensemble forecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
A fair sample size and dimension dependent version of the Box ordinate transform (BOT) is derived to assess the calibration of predictions of multivariate outcomes sampling a multivariate Gaussian distribution. Simulation studies confirm that the fair Gaussian sample BOT is capable of identifying miscalibration correctly even for small sample sizes. It
Sándor Baran, Martin Leutbecher
wiley   +1 more source

Correcting Left‐Truncation Bias in Weibull Reliability Analysis: Synthetic Data Validation for Electrical Utility Assets

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Incomplete historical records in utility asset datasets frequently introduce left‐truncation bias, leading to distorted reliability estimates and suboptimal asset management decisions. This study presents a systematic framework for validating left‐truncation correction in Weibull reliability analysis using synthetic data representative of ...
Philip Sage, Muralitheran V. Kanagarajoo, Pushpitha Kalutara, Philip Kibet Langat   +3 more
wiley   +1 more source

Standard rescue medication adjustments produce biased estimates of analgesic efficacy: reducing bias with multiple imputation for rescue adjustment (MIRA). [PDF]

Pain
Miller CJ, Farrar JT.
europepmc   +1 more source

One Size Does Not Fit All—Ignoring Spatial Variation in Occupancy and Detectability Underestimates the Required Number of Camera Trap Sites

Remote Sensing in Ecology and Conservation, EarlyView.
Camera trap occupancy studies often rely on simple rules of thumb that assume constant occupancy and detection across sites. Using simulations, we show that accurate occupancy estimates require 10–40 sites with no spatial variation, 20–120 with simple variation and 40–600 with complex spatial structures.
Pradeep Raj Joshi, Andreas Zedrosser, Rahel Sollmann, Nuria Selva, Simone Santoro   +4 more
wiley   +1 more source

Estimation of combined treatment effects by restricted mean survival time. [PDF]

Trials
Alger E, Robertson DS, Burdon AJ.
europepmc   +1 more source

Sustainability and Corporate Performance in the Global South: The Influence of the Environmental Pillar and Institutional Quality

Sustainable Development, EarlyView.
ABSTRACT Corporate sustainability in the Global South unfolds under heterogeneous institutional conditions, where firms face simultaneous pressures from global ESG standards and local governance constraints. This study examines the relationship between ESG‐aligned environmental practices and corporate financial performance, considering the moderating ...
Paulo Sérgio Reinert, Tércio Pereira, Fernando Cesar Lenzi, Nicole Cristina Rodrigues   +3 more
wiley   +1 more source

Bayesian adaptive design for clinical trials with potential subgroup effects. [PDF]

Stat Methods Med Res
Zhang X, Zhao Q, Chen C, Moa B, Gao S.
europepmc   +1 more source

FinTech and Environmental Sustainability: Evidence From Brazil

Sustainable Development, EarlyView.
ABSTRACT This study explores the dynamic interplay between economic growth and environmental sustainability from a FinTech perspective, using Brazil as a case study. While FinTech's contribution to green transformation, sustainable finance, and resource efficiency has gained increasing attention, a notable lack of empirical research remains to assess ...
Kemal Eyuboglu, Umut Uzar
wiley   +1 more source

Comparing data assimilation and likelihood-based inference on latent state estimation in agent-based models. [PDF]

PNAS Nexus
Kolic B, Monti C, De Francisci Morales G, Pangallo M.   +3 more
europepmc   +1 more source