Literature DB >> 474569

The use of correlation and regression in the analysis of family resemblance.

A Donner.   

Abstract

The use of correlation and regression as applied to the analysis of family resemblance is discussed. The application of these statistical techniques to family data is not routine because the number of siblings per family is in general variable. Topics dealt with include estimation of sib-sib (intraclass) correlation, parent-child (interclass) correlation and regression of child on parent. An example is given.

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Year:  1979        PMID： 474569     DOI： 10.1093/oxfordjournals.aje.a112819

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN： 0002-9262            Impact factor:   4.897


  8 in total

1.  Adult family members and their resemblance of coronary heart disease risk factors: the Cardiovascular Disease Study in Finnmark.

Authors:  T Brenn
Journal:  Eur J Epidemiol       Date:  1997-09       Impact factor: 8.082

2.  Familial correlation of immunoglobulin G subclass responses to Plasmodium falciparum antigens in Burkina Faso.

Authors:  C Aucan; Y Traoré; F Fumoux; P Rihet
Journal:  Infect Immun       Date:  2001-02       Impact factor: 3.441

3.  Validated automatic brain extraction of head CT images.

Authors:  John Muschelli; Natalie L Ullman; W Andrew Mould; Paul Vespa; Daniel F Hanley; Ciprian M Crainiceanu
Journal:  Neuroimage       Date:  2015-04-07       Impact factor: 6.556

4.  Comparison of confidence interval methods for an intra-class correlation coefficient (ICC).

Authors:  Alexei C Ionan; Mei-Yin C Polley; Lisa M McShane; Kevin K Dobbin
Journal:  BMC Med Res Methodol       Date:  2014-11-22       Impact factor: 4.615

5.  Efficacy of a workplace osteoporosis prevention intervention: a cluster randomized trial.

Authors:  Ai May Tan; Anthony D LaMontagne; Dallas R English; Peter Howard
Journal:  BMC Public Health       Date:  2016-08-24       Impact factor: 3.295

6.  Community health workers to improve uptake of maternal healthcare services: A cluster-randomized pragmatic trial in Dar es Salaam, Tanzania.

Authors:  Pascal Geldsetzer; Eric Mboggo; Elysia Larson; Irene Andrew Lema; Lucy Magesa; Lameck Machumi; Nzovu Ulenga; David Sando; Mary Mwanyika-Sando; Donna Spiegelman; Ester Mungure; Nan Li; Hellen Siril; Phares Mujinja; Helga Naburi; Guerino Chalamilla; Charles Kilewo; Anna Mia Ekström; Dawn Foster; Wafaie Fawzi; Till Bärnighausen
Journal:  PLoS Med       Date:  2019-03-29       Impact factor: 11.069

7.  Deep convolutional neural networks to predict cardiovascular risk from computed tomography.

Authors:  Roman Zeleznik; Borek Foldyna; Parastou Eslami; Jakob Weiss; Ivanov Alexander; Jana Taron; Chintan Parmar; Raza M Alvi; Dahlia Banerji; Mio Uno; Yasuka Kikuchi; Julia Karady; Lili Zhang; Jan-Erik Scholtz; Thomas Mayrhofer; Asya Lyass; Taylor F Mahoney; Joseph M Massaro; Ramachandran S Vasan; Pamela S Douglas; Udo Hoffmann; Michael T Lu; Hugo J W L Aerts
Journal:  Nat Commun       Date:  2021-01-29       Impact factor: 14.919

8.  Eye Movement Desensitization and Reprocessing Integrative Group Treatment Protocol (EMDR-IGTP) Applied to Caregivers of Patients With Dementia.

Authors:  Serena Passoni; Teresa Curinga; Alessio Toraldo; Manuela Berlingeri; Isabel Fernandez; Gabriella Bottini
Journal:  Front Psychol       Date:  2018-06-15
  8 in total

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