Literature DB >> 7125598

Design considerations in the estimation of intraclass correlation.

A Donner, J J Koval.   

Abstract

The design of family studies to estimate the value of an intraclass correlation coefficient p is considered when ni individuals are to be selected from each of k families, i = 1, 2, ..., k. In particular, the accuracy of a balance design (ni = n, i = 1, 2, ..., k) for estimating p is compared with the accuracy of an unbalanced "natural" design, in which the ni are sampled at random from family size distributions that tend to occur in practice. It is found for two different estimators of p that the balanced design is usually preferable, but only to a small degree if the number of families sampled is greater than 50.

Mesh:

Year:  1982        PMID: 7125598     DOI: 10.1111/j.1469-1809.1982.tb00718.x

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  10 in total

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Authors:  J David Hawkins; M Lee Van Horn; Michael W Arthur
Journal:  Prev Sci       Date:  2004-12

2.  Intraclass correlation estimates for cancer screening outcomes: estimates and applications in the design of group-randomized cancer screening studies.

Authors:  Erinn M Hade; David M Murray; Michael L Pennell; Dale Rhoda; Electra D Paskett; Victoria L Champion; Benjamin F Crabtree; Allen Dietrich; Mark B Dignan; Melissa Farmer; Joshua J Fenton; Susan Flocke; Robert A Hiatt; Shawna V Hudson; Michael Mitchell; Patrick Monahan; Salma Shariff-Marco; Stacey L Slone; Kurt Stange; Susan L Stewart; Pamela A Ohman Strickland
Journal:  J Natl Cancer Inst Monogr       Date:  2010

3.  Personal health records and hypertension control: a randomized trial.

Authors:  Peggy J Wagner; James Dias; Shalon Howard; Kristina W Kintziger; Matthew F Hudson; Yoon-Ho Seol; Pat Sodomka
Journal:  J Am Med Inform Assoc       Date:  2012-01-10       Impact factor: 4.497

4.  Intraclass correlation coefficients for weight loss cluster randomized trials in primary care: The PROPEL trial.

Authors:  Peter T Katzmarzyk; Kara D Denstel; Corby K Martin; Robert L Newton; John W Apolzan; Emily F Mire; Ronald Horswell; William D Johnson; Andrew W Brown; Dachuan Zhang
Journal:  Clin Obes       Date:  2022-04-12

5.  Barriers to blood pressure control: a STITCH substudy.

Authors:  Sigrid A E Nelson; George K Dresser; Margaret K Vandervoort; Cindy J Wong; Brian G Feagan; Jeffrey L Mahon; Ross D Feldman
Journal:  J Clin Hypertens (Greenwich)       Date:  2010-12-10       Impact factor: 3.738

6.  Intraclass correlation coefficients for cluster randomized trials in care pathways and usual care: hospital treatment for heart failure.

Authors:  Seval Kul; Kris Vanhaecht; Massimiliano Panella
Journal:  BMC Health Serv Res       Date:  2014-02-24       Impact factor: 2.655

7.  Intracluster correlation coefficients for the Brazilian Multicenter Study on Preterm Birth (EMIP): methodological and practical implications.

Authors:  Giuliane J Lajos; Samira M Haddad; Ricardo P Tedesco; Renato Passini; Tabata Z Dias; Marcelo L Nomura; Patrícia M Rheder; Maria H Sousa; Jose G Cecatti
Journal:  BMC Med Res Methodol       Date:  2014-04-22       Impact factor: 4.615

8.  Feasibility of alcohol screening among patients receiving opioid treatment in primary care.

Authors:  Anne Marie Henihan; Geoff McCombe; Jan Klimas; Davina Swan; Dorothy Leahy; Rolande Anderson; Gerard Bury; Colum P Dunne; Eamon Keenan; John S Lambert; David Meagher; Clodagh O'Gorman; Tom P O'Toole; Jean Saunders; Gillian W Shorter; Bobby P Smyth; Eileen Kaner; Walter Cullen
Journal:  BMC Fam Pract       Date:  2016-11-05       Impact factor: 2.497

9.  Intracluster correlation coefficients in cluster randomized trials: empirical insights into how should they be reported.

Authors:  Marion K Campbell; Jeremy M Grimshaw; Diana R Elbourne
Journal:  BMC Med Res Methodol       Date:  2004-04-28       Impact factor: 4.615

10.  Neighborhood clustering of non-communicable diseases: results from a community-based study in Northern Tanzania.

Authors:  John W Stanifer; Joseph R Egger; Elizabeth L Turner; Nathan Thielman; Uptal D Patel
Journal:  BMC Public Health       Date:  2016-03-05       Impact factor: 3.295

  10 in total

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