𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Sample size and optimal designs for reliability studies

✍ Scribed by S. D. Walter; M. Eliasziw; A. Donner


Publisher
John Wiley and Sons
Year
1998
Tongue
English
Weight
194 KB
Volume
17
Category
Article
ISSN
0277-6715

No coin nor oath required. For personal study only.

✦ Synopsis


A method is developed to calculate the required number of subjects k in a reliability study, where reliability is measured using the intraclass correlation . The method is based on a functional approximation to earlier exact results. The approximation is shown to have excellent agreement with the exact results and one can use it easily without intensive numerical computation. Optimal design configurations are also discussed; for reliability values of about 40 per cent or higher, use of two or three observations per subject will minimize the total number of observations required.


πŸ“œ SIMILAR VOLUMES


Sample size for cohort studies in pharma
✍ A. D. McMahon; T. M. MacDonald πŸ“‚ Article πŸ“… 1997 πŸ› John Wiley and Sons 🌐 English βš– 113 KB πŸ‘ 1 views

Object Ð Cohort studies in pharmacoepidemiology can result in a unique type of study, where subjects have complex types of exposure to drugs (with periods of non-exposure as well). The object of this paper is to explain how to calculate the sample size of such a study. Method Ð It is assumed that a

Optimal designs for variogram estimation
✍ Werner G. MΓΌller; Dale L. Zimmerman πŸ“‚ Article πŸ“… 1999 πŸ› John Wiley and Sons 🌐 English βš– 170 KB

The variogram plays a central role in the analysis of geostatistical data. A valid variogram model is selected and the parameters of that model are estimated before kriging (spatial prediction) is performed. These inference procedures are generally based upon examination of the empirical variogram,

Estimation of Sample Size for Reference
✍ James F. Troendle; Kai F. Yu πŸ“‚ Article πŸ“… 2003 πŸ› John Wiley and Sons 🌐 English βš– 97 KB πŸ‘ 1 views

## Abstract The currently used criterion for sample size calculation in a reference interval study is not well stated and leads to imprecise control of the ratio in question. We propose a generalization of the criterion used to determine sufficient sample size in reference interval studies. The gen

Optimal assignment of samples to treatme
✍ Julia C. O'Neill; Connie M. Borror; Peter Y. Eastman; Deborah G. Fradkin; Michae πŸ“‚ Article πŸ“… 2000 πŸ› John Wiley and Sons 🌐 English βš– 65 KB πŸ‘ 1 views

A series of experiments was performed to test the appearance of wood samples after treatment and accelerated weathering. In the initial experiments, treatment effects were obscured by the high variability between the wood samples. The wood samples can be characterized, but their properties cannot be

Sample Size Recalculation in Internal Pi
✍ Tim Friede; Meinhard Kieser πŸ“‚ Article πŸ“… 2006 πŸ› John Wiley and Sons 🌐 English βš– 180 KB

## Abstract The adequacy of sample size is important to clinical trials. In the planning phase of a trial, however, the investigators are often quite uncertain about the sizes of parameters which are needed for sample size calculations. A solution to this problem is mid‐course recalculation of the