Logo Lanfrica
  • Accueil
  • Atlas
  • Analyses
  • Documentation
  • Sign in

© 2026 Lanfrica. Tous droits réservés. Tous les droits d'auteur des ressources affichées sur le site Web Lanfrica appartiennent aux détenteurs de droits d'auteur d'origine, sauf indication contraire explicite.

Estimation of population-level summaries in general semiparametric repeated measures regression models

Domaine:

healthcare

Type de record:

paper
Créateur:
MaiApaCar
Éditeur:
arXiv
Hôte:avatar
This paper considers a wide family of semiparametric repeated measures regression models, in which the main interest is on estimating population-level quantities such as mean, variance, probabilities etc. Examples of our framework include generalized linear models for clustered/longitudinal data, among many others. We derive plug-in kernel-based estimators of the population level quantities and derive their asymptotic distribution. An example involving estimation of the survival function of hemoglobin measures in the Kenya hemoglobin study data is presented to demonstrate our methodology. Published in at dx.doi.org the IMS Collections (imstat.org) by the Institute of Mathematical Statistics (imstat.org)

Visit

doi.orgarxiv.org

Tags

Statistics Theory (math.ST)Methodology (stat.ME)FOS: MathematicsFOS: MathematicsFOS: Computer and information sciencesFOS: Computer and information sciences62G08, 62J02 (Primary) 62J12 (Secondary)

Licenses

arXiv.org perpetual, non-exclusive licensehttp://arxiv.org/licenses/nonexclusive-distrib/1.0/

Similaires

Semiparametric Regression for Misclassified Competing Risks Data<p>Posterior summaries for prevalence models.</p>Semiparametric outcome regression-based estimator of Mann–Whitney-type causal effectSmall Area Population Estimation: Estimating Population Size at Ward Level 2014 in South AfricaDistrict‐level estimation of vaccination coverage: Discrete vs continuous spatial modelsLinear Regression with Centrality Measures

Semiparametric Regression for Misclassified Competing Risks Data

The analysis of competing risks data is often complicated by misclassification of the cause of failu

<p>Posterior summaries for prevalence models.</p>

Median estimates and 95% Credible Intervals (CrI) on the probability scale (expressed as percenta

Semiparametric outcome regression-based estimator of Mann–Whitney-type causal effect

Abstract We introduce a novel semiparametric estimator for Mann–Whitney-type causal effects based on

Small Area Population Estimation: Estimating Population Size at Ward Level 2014 in South Africa

The census is the traditional source of population figures at various levels. Census figures however

District‐level estimation of vaccination coverage: Discrete vs continuous spatial models

Health and development indicators (HDIs) such as vaccination coverage are regularly measured in many

Linear Regression with Centrality Measures

This paper studies the properties of linear regression on centrality measures when network data is s