Optimal weighted estimation versus Cochran–Mantel–Haenszel. Issue 7 (3rd July 2022)
- Record Type:
- Journal Article
- Title:
- Optimal weighted estimation versus Cochran–Mantel–Haenszel. Issue 7 (3rd July 2022)
- Main Title:
- Optimal weighted estimation versus Cochran–Mantel–Haenszel
- Authors:
- Hermans, Lisa
Molenberghs, Geert
Verbeke, Geert
Kenward, Michael G.
Mamouris, Pavlos
Vaes, Bert - Abstract:
- Abstract: The purpose of this paper is to contrast the Mantel–Haenszel estimator with an optimal estimator to better understand its specific nature, as well as some unique and interesting properties of the data setting for which it was developed. It is emphasized here that the Mantel–Haenszel estimator does not follow from optimality considerations, but nevertheless has properties similar to and often better than the optimal estimator, whose existence we demonstrate in spite of the absence of completeness. It is shown, via simulations and data analysis, that the optimal estimator outperforms the Mantel–Haenszel estimator only in certain settings with huge sample sizes.
- Is Part Of:
- Communications in statistics. Volume 51:Issue 7(2022)
- Journal:
- Communications in statistics
- Issue:
- Volume 51:Issue 7(2022)
- Issue Display:
- Volume 51, Issue 7 (2022)
- Year:
- 2022
- Volume:
- 51
- Issue:
- 7
- Issue Sort Value:
- 2022-0051-0007-0000
- Page Start:
- 3645
- Page End:
- 3659
- Publication Date:
- 2022-07-03
- Subjects:
- Pseudo-likelihood -- Split sampling -- Unequal strata sizes
Mathematical statistics -- Periodicals
Mathematical statistics -- Data processing -- Periodicals
Digital computer simulation -- Periodicals
519.5 - Journal URLs:
- http://www.tandfonline.com/toc/lssp20/current ↗
http://www.tandfonline.com/ ↗ - DOI:
- 10.1080/03610918.2020.1720735 ↗
- Languages:
- English
- ISSNs:
- 0361-0918
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3363.431000
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 22931.xml