Regression toward the mean – a detection method for unknown population mean based on Mee and Chua's algorithm

doi:10.1186/1471-2288-8-52

BMC Medical Research Methodology

Volume 8

Viewing options:

Abstract
Full text
PDF (346KB)
Additional files

Associated material:

Related literature:

Articles citing this article
on BioMed Central
on Google Scholar
on ISI Web of Science
on PubMed Central
Other articles by authors
on Google Scholar

Ostermann T
Willich SN
Lüdtke R

on PubMed

Ostermann T
Willich SN
Lüdtke R
Related articles/pages
on Google

on Google Scholar

on PubMed

Tools:

Post to:

Research article

Regression toward the mean – a detection method for unknown population mean based on Mee and Chua's algorithm

Thomas Ostermann¹ , Stefan N Willich² and Rainer Lüdtke²^,3

¹Department of Medical Theory and Complementary Medicine, University of Witten/Herdecke, Gerhard-Kienle-Weg 4, 58313 Herdecke, Germany

²Institute of Social Medicine, Epidemiology, and Health Economics, Charité University Medical Center, Berlin, Germany

³Karl and Veronica Carstens Foundation, Am Deimelsberg 36, 45276 Essen, Germany

author email corresponding author email

BMC Medical Research Methodology 2008, 8:52doi:10.1186/1471-2288-8-52


Published:	7 August 2008

Additional files

Additional file 1:

SAS-Macro for the extended Mee-Chua t-test. This macro is written in SAS code and calculates all statistics given in our paper based on individual raw data in a repeated measurement situation and also gives a graphical display of the test statistics. It was developed and tested under SAS version 9.1, although we believe it should give valid results in earlier releases. To run this macro it is necessary to have subscribed to the SAS modules BASE, STAT and SQL. Details how to run the macro can be found when opening the program code in an appropriate text editor.

Format: SAS Size: 5KB Download file

Additional file 2:

MS-EXCEL sheet for the extended Mee-Chua t-test. This is an EXCEL 2000 sheet which calculates all statistics given in our paper based on means, standard deviations, and correlations in repeated measurement situations. Moreover, it provides a graphical display of the test statistics.

Format: XLS Size: 76KB Download file

This file can be viewed with: Microsoft Excel Viewer