On Kernel-Based Estimator of Odds Ratio Using Different Stratified Sampling Schemes

Abbas Eftekharian; Hani Samawi; Haresh Rochani

doi:10.19139/soic-2310-5070-1425

On Kernel-Based Estimator of Odds Ratio Using Different Stratified Sampling Schemes

Abbas Eftekharian, Hani Samawi, Haresh Rochani

Biostatistics, Epidemiology, & Environmental Health Sciences

Research output: Contribution to journal › Article › peer-review

Abstract

The kernel-based estimator of Cochran Mantel-Haenszel odds ratio based on stratified simple and ranked set sampling is proposed. The expectation and variance of the estimator are analytically obtained. Using a simulation study, the estimator based on stratified ranked set sampling is more efficient than its counterpart based on stratified simple random sampling.

Original language	English
Pages (from-to)	368-389
Number of pages	22
Journal	Statistics, Optimization and Information Computing
Volume	11
Issue number	2
DOIs	https://doi.org/10.19139/soic-2310-5070-1425
State	Published - 2023

Keywords

Cochran Mantel-Haenszel odds ratio
Kernel estimation
Odds ratio
Stratified ranked set sampling
Stratified simple random sampling

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10.19139/soic-2310-5070-1425

Cite this

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abstract = "The kernel-based estimator of Cochran Mantel-Haenszel odds ratio based on stratified simple and ranked set sampling is proposed. The expectation and variance of the estimator are analytically obtained. Using a simulation study, the estimator based on stratified ranked set sampling is more efficient than its counterpart based on stratified simple random sampling.",

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KW - Odds ratio

KW - Stratified ranked set sampling

KW - Stratified simple random sampling

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On Kernel-Based Estimator of Odds Ratio Using Different Stratified Sampling Schemes

Abstract

Keywords

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