A Quotient of Independent Measurements as Outcome

Autor:	Schneckenburger H, Martina Kron, Gschwend Mh, Högel J
Rok vydání:	2011
Předmět:	Biological data Drug Discovery Outlier Statistics Test statistic Respiratory chain Statistical dispersion Outcome (probability) Quotient Mathematics Variable (mathematics)
Zdroj:	Arzneimittelforschung. 50:669-673
ISSN:	1616-7066 0004-4172
Popis:	The methodology in this paper was proposed to analyze biological data. The variable of interest, W, was a quotient of measurements; W: = X/(Y · Z). The peculiar problem was that X, Y, and Ζ could only be determined in three independent units of observation which were destroyed in the course of each measurement. A test statistic for the comparison of two treatments in W is proposed which is based on robust measures of location and dispersion in order to account for outliers in the data. Simulations showed that the test statistic proposed is approximately normally distributed, even for small sample sizes.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5ecb43e8125e52d8c75c57ce585bd034 https://doi.org/10.1055/s-0031-1300270 Zobrazit plný text záznamu