Biostatistics, Epidemiology & Environmental Health Sciences: Faculty Publications
Document Type
Article
Publication Date
12-22-2022
Publication Title
Statistics, Optimization & Information Computing
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. Finally, the estimator's performance is investigated by using base deficit data.
Recommended Citation
Eftekharian, Abbas, Hani Samawi, Haresh Rochani.
2022.
"On Kernel-Based Estimator of Odds Ratio Using Different Stratified Sampling Schemes."
Statistics, Optimization & Information Computing, 11 (2): 368-389: IA Press.
https://digitalcommons.georgiasouthern.edu/bee-facpubs/368
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