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Local polynomial regression for pooled response data

Year: 2020

Type: preprint

Abstract: We propose local polynomial estimators for the conditional mean of a continuous response when only pooled response data are collected under different pooling designs. Asymptotic properties of these estimators are investigated and compared. Extensive simulation studies are carried out to compare finite sample performance of the proposed estimators under various model settings and pooling strategies. We apply the proposed local polynomial regression methods to two real-life applications to illustrate practical implementation and performance of the estimators for the mean function.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.2001.00915

Authors: Wang, Dewei, Mou, Xichen, Li, Xiang, Huang, Xianzheng

Institutions: JPMorgan Chase & Co (United States), University of South Carolina, University of Memphis

Language: English

Topic: Optimal Experimental Design Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: green

Funders: National Institutes of Health, National Institute of Allergy and Infectious Diseases

Award: Flexible biomarker evaluation through a cost-effective data collection mechanism

OpenAlex ID: W2998213504

Cites: 17

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Related to: 10