Results 91 to 100 of about 6,937 (202)

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

open access: yesStatistics 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   +2 more
wiley   +1 more source

O PATRÓN DESIGUAL DE CRECEMENTO EUROPEO: UNHA ANÁLISE SEMIPARAMÉTRICA A NIVEL REXIONAL

open access: yesRevista Galega de Economía, 2013
The aim of this paper is to analyze the relationship between inequality and the equivalent dispo- sable income available at a regional level and to contrast the type of relationship between two variables in the developed world in the context of a ...
DANIEL RODRÍGUEZ GONZÁLEZ   +1 more
doaj  

TRUNCATED SPLINE SEMIPARAMETRIC REGRESSION TO HANDLE MIXED PATTERN DATA IN MODELING THE RICE PRODUCTION IN EAST JAVA PROVINCE

open access: yesBarekeng
Climate change can affect rice production through changes in temperature, precipitation patterns, extreme weather events, and atmospheric carbon dioxide levels.
Sri Sulistijowati Handajani   +5 more
doaj   +1 more source

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

open access: yesStatistics 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   +2 more
wiley   +1 more source

Wavelet Threshold Estimator of Semiparametric Regression Function with Correlated Errors

open access: yesپژوهش‌های ریاضی, 2022
Wavelet analysis is one of the useful techniques in mathematics which is used much in statistics science recently. In this paper, in addition to introduce the wavelet transformation, the wavelet threshold estimation of semiparametric regression model ...
Mahmoud Afshari   +2 more
doaj  

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

open access: yesApplied 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   +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

open access: yesClinical 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

Doubly Robust Estimation and Semiparametric Efficiency in Generalized Partially Linear Models with Missing Outcomes

open access: yesStats
We investigate a semiparametric generalized partially linear regression model that accommodates missing outcomes, with some covariates modeled parametrically and others nonparametrically. We propose a class of augmented inverse probability weighted (AIPW)
Lu Wang, Zhongzhe Ouyang, Xihong Lin
doaj   +1 more source

An Uncertainty Based Approach for Dealing With Selection Bias in Non‐Probability Samples

open access: yesInternational Statistical Review, Volume 94, Issue 2, Page 264-290, August 2026.
Summary The main issue with non‐probability samples is that the standard design‐based approach cannot be applied as the selection mechanism is unknown. In this paper, the concept of uncertainty on data generating model, resulting from the lack of knowledge of the sampling design acting in the non‐probability sample, is discussed.
Pier Luigi Conti, Daniela Marella
wiley   +1 more source

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