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Comparing correlations of continuous observations from two independent populations using a sequential approach
Statistics in medicine, 2006-12, Vol.25 (24), p.4293-4310
Fazil Baksh, M.
Haars, Gerco
Todd, Susan
Van Noord, Paulus A. H.
Whitehead, John
2006
Volltextzugriff (PDF)
Details
Autor(en) / Beteiligte
Fazil Baksh, M.
Haars, Gerco
Todd, Susan
Van Noord, Paulus A. H.
Whitehead, John
Titel
Comparing correlations of continuous observations from two independent populations using a sequential approach
Ist Teil von
Statistics in medicine, 2006-12, Vol.25 (24), p.4293-4310
Ort / Verlag
Chichester, UK: John Wiley & Sons, Ltd
Erscheinungsjahr
2006
Quelle
Wiley Online Library All Journals
Beschreibungen/Notizen
A sequential study design generally makes more efficient use of available information than a fixed sample counterpart of equal power. This feature is gradually being exploited by researchers in genetic and epidemiological investigations that utilize banked biological resources and in studies where time, cost and ethics are prominent considerations. Recent work in this area has focussed on the sequential analysis of matched case–control studies with a dichotomous trait. In this paper, we extend the sequential approach to a comparison of the associations within two independent groups of paired continuous observations. Such a comparison is particularly relevant in familial studies of phenotypic correlation using twins. We develop a sequential twin method based on the intraclass correlation and show that use of sequential methodology can lead to a substantial reduction in the number of observations without compromising the study error rates. Additionally, our approach permits straightforward allowance for other explanatory factors in the analysis. We illustrate our method in a sequential heritability study of dysplasia that allows for the effect of body mass index and compares monozygotes with pairs of singleton sisters. Copyright © 2006 John Wiley & Sons, Ltd.
Sprache
Englisch
Identifikatoren
ISSN: 0277-6715
eISSN: 1097-0258
DOI: 10.1002/sim.2676
Titel-ID: cdi_proquest_miscellaneous_68211514
Format
–
Schlagworte
Correlation analysis
,
Data Interpretation, Statistical
,
Epidemiologic Methods
,
Epidemiology
,
Female
,
Fibrocystic Breast Disease - genetics
,
genetic epidemiology
,
Genetics
,
Humans
,
intraclass correlation
,
Sample Size
,
sequential method
,
Statistical methods
,
Studies
,
Twin Studies as Topic
,
twin study
,
Twins
,
Twins, Dizygotic - genetics
,
Twins, Monozygotic - genetics
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