Results 291 to 300 of about 7,450,685 (340)

Conditional power with Fisher's least significant difference procedure

open access: closedBiometrika, 1997
SUMMARY Conditional power calculations are very useful for assessing the likelihood of an ultimately statistically significant result given the current data. We show how to calculate conditional power in a multi-armed trial using the classic Fisher least significant difference, LSD, procedure.
Michael A. Proschan
openaire   +3 more sources

Photovoltaic Array Fault Detection Algorithm Based on Least Significant Difference Test

open access: closed, 2020
One major concern in solar systems is the health of the solar installation, specifically related to the undetected faults in the photovoltaic array. Any fault in the array could provoke power losses in the system and may generate security risks for the operative and technical personnel.
Luis Diego Murillo-Soto, Carlos Meza
openaire   +3 more sources

Stock Dividend Is the Natural Choice of Strong Companies: Based on Least Significant Difference Method

open access: closed, 2013
Based on related dividend theories, this paper uses the empirical data of Chinese securities market, constructs the sub-portfolios which consist of three samples including stock dividend, cash dividend and non-dividend and studies the return of these three types of sub-portfolios with least significant difference method.
Xiaoguang Lu, Diqian Lu, Yiran Xi
openaire   +3 more sources

On the Applications of Fisher’s Least Significant Difference (LSD) Procedure in Three-Arm Clinical Trials with Survival Endpoints

open access: closedDrug Information Journal, 2008
Fisher’s (protected) least significant difference (LSD) procedure has been suggested in the design and analysis of multiarm clinical trials with survival endpoints. In this article, the power of this procedure is evaluated and compared with that of Bonferroni and Hochberg procedures by Monte Carlo simulations under three scenarios of alternative ...
Shifting Liu, Dongsheng Tu
openaire   +3 more sources

A Generalized Least Significant Change for Individuals Measured on Different DXA Systems [PDF]

open access: possibleJournal of Clinical Densitometry, 2007
In this article, we derive a generalized expression for the least significant change (LSC), which we call the generalized LSC (GLSC), to be used when an individual is measured on 2 different systems. The commonly used LSC is defined as the least amount of change between 2 measurements over time that must be exceeded before a change can be considered ...
John A. Shepherd, Ying Lu
openaire   +2 more sources

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