Prediction model-based kernel density estimation when group membership is subject to missing

DOI10.1007/s10182-016-0283-yzbMath1443.62082OpenAlexW2554628716WikidataQ47613614 ScholiaQ47613614MaRDI QIDQ1622107

Wan Tang, Hua He, Wen-Juan Wang

Publication date: 12 November 2018

Published in: AStA. Advances in Statistical Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc5609080

zbMATH Keywords

density functionmissing at random (MAR)prediction modelkernel smoothing estimatemean score method

Mathematics Subject Classification ID

Density estimation (62G07) Asymptotic properties of nonparametric inference (62G20) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items

Doubly robust kernel density estimation when group membership is missing at random

Uses Software

• KernSmooth

Cites Work

• Unnamed Item
• Unnamed Item
• Kernel smoothing density estimation when group membership is subject to missing
• Auxiliary outcome data and the mean score method
• Smoothing methods in statistics
• Probability density estimation with data missing at random when covariables are present
• A robust method using propensity score stratification for correcting verification bias for binary tests
• A mean score method for missing and auxiliary covariate data in regression models
• Estimating disease prevalence in two-phase studies
• On Estimation of a Probability Density Function and Mode
• Assessing Accuracy of a Continuous Screening Test in the Presence of Verification Bias
• A Generalization of Sampling Without Replacement From a Finite Universe
• Maximum Likelihood Estimation of Misspecified Models