Results 81 to 90 of about 5,713 (196)

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

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

Stats
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

Semiparametric regression analysis of bivariate censored events in a family study of Alzheimer's disease. [PDF]

Biostatistics, 2022
Gao F, Zeng D, Wang Y.
europepmc   +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

MODELING STUNTING PREVALENCE IN INDONESIA USING SPLINE TRUNCATED SEMIPARAMETRIC REGRESSION

Barekeng
Semiparametric regression combines parametric and nonparametric regression approaches. It is employed when the relationship pattern of the response variable is known with some predictors, while for other predictors, the relationship pattern is uncertain.
Rizki Dwi Fadlirhohim, Sifriyani Sifriyani, Andrea Tri Rian Dani   +2 more
doaj   +1 more source

Distributed Nonparametric and Semiparametric Regression on SPARK for Big Data Forecasting

Applied Computational Intelligence and Soft Computing, 2017
Forecasting in big datasets is a common but complicated task, which cannot be executed using the well-known parametric linear regression. However, nonparametric and semiparametric methods, which enable forecasting by building nonlinear data models, are ...
Jelena Fiosina, Maksims Fiosins
doaj   +1 more source

Semiparametric regression modeling of the global percentile outcome. [PDF]

J Stat Plan Inference, 2023
Liu X, Ning J, He X, Tilley BC, Li R.
europepmc   +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

The Combined Effect of Environmental Policies on China's Renewable Energy Development: A Multi-Perspective Study Based on Semiparametric Regression Model. [PDF]

Int J Environ Res Public Health, 2022
Yang X, Zhong S.
europepmc   +1 more source