Results 81 to 90 of about 777 (154)

About tests of the “simplifying” assumption for conditional copulas

Dependence Modeling, 2017
We discuss the so-called “simplifying assumption” of conditional copulas in a general framework. We introduce several tests of the latter assumption for non- and semiparametric copula models.
Derumigny Alexis, Fermanian Jean-David
doaj   +1 more source

Improving the Finite Sample Estimation of Average Treatment Effects Using Double/Debiased Machine Learning With Propensity Score Calibration

Journal of Applied Econometrics, Volume 41, Issue 5, Page 613-626, August 2026.
ABSTRACT Double/debiased machine learning (DML) uses for estimating an average treatment effect (ATE) a double‐robust score function that relies on the prediction of nuisance functions, such as the propensity score, which is the probability of treatment assignment given covariates.
Daniele Ballinari, Nora Bearth
wiley   +1 more source

Inverse‐Intensity‐Weighted Generalized Estimating Equations With Irregularly Measured Longitudinal Data and Informative Dropout

Statistics in Medicine, Volume 45, Issue 18-19, August 2026.
ABSTRACT Longitudinal data are commonly encountered in biomedical research, including randomized trials and retrospective cohort studies. Subjects are typically followed over a period of time and may be scheduled for follow‐up at predetermined time points.
George Stefan, Eleanor Pullenayegum
wiley   +1 more source

Online Semiparametric Identification of Lithium-Ion Batteries Using the Wavelet-Based Partially Linear Battery Model

Energies, 2013
Battery model identification is very important for reliable battery management as well as for battery system design process. The common problem in identifying battery models is how to determine the most appropriate mathematical model structure and ...
Caiping Zhang, Jiuchun Jiang, Dazhong Mu
doaj   +1 more source

Variable Selection for Fixed and Random Effects in Multilevel Functional Mixed Effects Models

Statistics in Medicine, Volume 45, Issue 18-19, August 2026.
ABSTRACT We develop a new method for simultaneously selecting fixed and random effects in a multilevel functional regression model. The proposed method is motivated by accelerometer‐derived physical activity data from the 2011 to 2012 cohort of the National Health and Nutrition Examination Survey (NHANES), with the aim of identifying age and race ...
Rahul Ghosal, Marcos Matabuena, Enakshi Saha   +2 more
wiley   +1 more source

Joint Modeling of Longitudinal Data and Potentially Informative Visiting Process to Dynamically Predict Future Visit Times

Statistics in Medicine, Volume 45, Issue 18-19, August 2026.
ABSTRACT Frequent visits in cohort studies are important as they enable, among others, the assessment of disease progression and treatment effectiveness. In HIV studies, extended intervals between visits have been shown to be associated with adverse outcomes (e.g., antiretroviral therapy interruption).
Achilleas Stamoulopoulos, Christos Thomadakis, Giota Touloumi   +2 more
wiley   +1 more source

Investigating the validity of the gibrat law at the provincial level in Türkiye: parametric and semiparametric panel data models

Trakya Üniversitesi İktisadi ve İdari Bilimler Fakültesi E-Dergi
The growth of cities is closely linked to the overall economic growth of nations. Especially in urban planning, predicting and modelling the growth trajectory of cities is crucial for ensuring sustainable economic growth.
Şaban Kızılarslan, Mustafa Zuhal
doaj   +1 more source

Examining the clustering of lifestyle factors and affect in daily life: An idiographic approach

Applied Psychology: Health and Well-Being, Volume 18, Issue 4, August 2026.
Abstract There has been an increase in interest in the health and well‐being benefits of lifestyle factors such as physical activity, diet, sleep, and social interaction. Previous research has highlighted how lifestyle factors, both healthy and unhealthy, tend to covary or cluster together.
Austen R. Anderson, Lindsey Ostermiller, Isabel Rice, Casandra O'Rourke   +3 more
wiley   +1 more source

Applying a Pharmacometrics‐Enabled Machine Learning Analysis to Predict 2‐Month Culture Conversion Using Phase 2a Data in a Tuberculosis Clinical Trial

Clinical and Translational Science, Volume 19, Issue 8, August 2026.
A workflow for appying pharmacometrics‐enable machine learning analysis to predict 2‐month culture conversion using phase 2a data. ABSTRACT Phase 2a trials in tuberculosis patients traditionally assess early bactericidal activity over two weeks, often using the time‐to‐positivity biomarker, followed by a phase 2b study typically lasting 8‐week with ...
Huifang You, Ulrika S. H. Simonsson
wiley   +1 more source

Semiparametric modeling for the cardiometabolic risk index and individual risk factors in the older adult population: A novel proposal.

PLoS ONE
The accurate monitoring of metabolic syndrome in older adults is relevant in terms of its early detection, and its management. This study aimed at proposing a novel semiparametric modeling for a cardiometabolic risk index (CMRI) and individual risk ...
Philippe Tagder, Margareth Lorena Alfonso-Mora, Diana Díaz-Vidal, Aura Cristina Quino-Ávila, Juliana Lever Méndez, Carolina Sandoval-Cuellar, Eliana Monsalve-Jaramillo, María Giné-Garriga   +7 more
doaj   +1 more source