نتایج جستجو برای: back calculation

تعداد نتایج: 256153  

2015
Jonathan A Cook Jenni Hislop Douglas G Altman Peter Fayers Andrew H Briggs Craig R Ramsay John D Norrie Ian M Harvey Brian Buckley Dean Fergusson Ian Ford Luke D Vale

BACKGROUND Central to the design of a randomised controlled trial is the calculation of the number of participants needed. This is typically achieved by specifying a target difference and calculating the corresponding sample size, which provides reassurance that the trial will have the required statistical power (at the planned statistical significance level) to identify whether a difference of...

Discrete Element Method (DEM) is extensively used for mathematical modeling and simulating the behavior of discrete discs and discrete spheres in two and three dimensional space, respectively. Prediction of particles flow regime, power draw and kinetic energy for a laboratory or an industrial mill is possible by DEM simulation. In this article, a new approach was used to assess the main paramet...

2008
Kanji Hioka Yoshimasa Miwa Chen Li Qi-Wei Ge Hiroshi Matsuno Satoru Miyano

Kanji Hioka Graduate School of Science and Engineering, Yamaguchi University 1677-1 Yoshida, Yamaguchi 753-8512, Japan [email protected] Yoshimasa Miwa Graduate School of Science and Engineering, Yamaguchi University 1677-1 Yoshida, Yamaguchi 753-8512, Japan [email protected] Chen Li Human Genome Center, University of Tokyo 4-6-1 Shirokanedai, Minatoku, Tokyo 108-8639, Ja...

Journal: :Statistics in medicine 1998
F Y Hsieh D A Bloch M D Larsen

A sample size calculation for logistic regression involves complicated formulae. This paper suggests use of sample size formulae for comparing means or for comparing proportions in order to calculate the required sample size for a simple logistic regression model. One can then adjust the required sample size for a multiple logistic regression model by a variance inflation factor. This method re...

Journal: :Controlled clinical trials 2003
Roger P Qu Hongjie Zheng

Exact power and sample size calculation for bioequivalence studies with high order crossover designs using statistical software nQuery are presented. Such calculation can be very easily performed, and thus provides a convenient tool for practical usage.

Journal: :Journal of biopharmaceutical statistics 2005
Hansheng Wang Shein-Chung Chow Murphy Chen

In clinical research, parameters required for sample size calculation are usually unknown. A typical approach is to use estimates from some pilot studies as the true parameters in the calculation. This approach, however, does not take into consideration sampling error. Thus, the resulting sample size could be misleading if the sampling error is substantial. As an alternative, we suggest a Bayes...

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