Document Detail


A microcomputer program for evaluating sampling error: an application to stereological methods for electron microscopy.
MedLine Citation:
PMID:  1617005     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
In situations where there is a need to minimize sampling error or sample size, the coefficient of variation (CV) may be used to evaluate sampling error as a function of the number of observations or subjects in a sample. For example, CV is useful for estimating the minimum number of electron micrographs (Nmin) required to obtain a representative field sample for stereological analysis. To facilitate the determination of Nmin, we have written a program (COEFficient) for DOS microcomputers which calculates CVs. COEF assists the user in reducing error to that which solely reflects biological variability, thereby minimizing the time and cost of subsequent analyses.
Authors:
G Herbener; R Goodfliesh; B Fass-Holmes
Related Documents :
19106735 - The utility of prediction models to oversample the long-term uninsured.
20136175 - A simple method to account for size effects in the transfer matrix method.
20574825 - Prediction of plausible bacterial composition based on terminal restriction fragment le...
17032485 - Sample size for regression analyses of theory of planned behaviour studies: case of pre...
6517835 - Cusp and butterfly catastrophe modeling of two opponent process models: drug addiction ...
24597215 - General models for resource use or other compositional count data using the dirichlet-m...
Publication Detail:
Type:  Journal Article; Research Support, U.S. Gov't, P.H.S.    
Journal Detail:
Title:  Biotechnic & histochemistry : official publication of the Biological Stain Commission     Volume:  67     ISSN:  1052-0295     ISO Abbreviation:  Biotech Histochem     Publication Date:  1992 May 
Date Detail:
Created Date:  1992-08-03     Completed Date:  1992-08-03     Revised Date:  2007-11-15    
Medline Journal Info:
Nlm Unique ID:  9107378     Medline TA:  Biotech Histochem     Country:  UNITED STATES    
Other Details:
Languages:  eng     Pagination:  165-70     Citation Subset:  IM    
Affiliation:
Department of Anatomical Sciences and Neurobiology, School of Medicine, University of Louisville, Kentucky 40292.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Microcomputers*
Microscopy, Electron / methods*
Software*
Specimen Handling / standards*
Statistics as Topic
Grant Support
ID/Acronym/Agency:
MH 42735/MH/NIMH NIH HHS

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


Previous Document:  Identification of the plant nucleolonema using silver staining of serial ultrathin sections.
Next Document:  Staining plant cells with silver. III. The mechanism.