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Variance components and their implications for statistical information in medical data
Author(s) -
Orav E. J.,
Louis T. A.,
Palmer R. H.,
Wright E. A.
Publication year - 1991
Publication title -
statistics in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.996
H-Index - 183
eISSN - 1097-0258
pISSN - 0277-6715
DOI - 10.1002/sim.4780100411
Subject(s) - variance (accounting) , computer science , sample size determination , cluster analysis , sample (material) , econometrics , interpretation (philosophy) , statistics , medical practice , data mining , data science , mathematics , machine learning , medicine , family medicine , chemistry , accounting , chromatography , business , programming language
We discuss general issues concerning the design and analysis of medical experiments involving repeated measures or hierarchical groupings of subjects within larger study units. Depending on the types of questions being investigated, the correlations induced by clustering can have dramatic impact on the effective sample size. The unique aspects of such experiments must be accounted for during analysis and during interpretation of the results. We illustrate these issues by using a variance components model to investigate the role of leadership in medical practice.