Literature DB >> 17133629

A statistical comparison of different family history scores.

H Murad1, O Kalter-Leibovici, A Chetrit, L S Freedman.   

Abstract

Family history (FH) scores are used for estimating the familial risk (FR), i.e. the level of risk for a particular disease among members of that family. An FH score is created from reports about the disease status of the relatives in each family. The most commonly used score is the dichotomous score (positive when at least one relative is affected), which does not consider the family size, number of affected relatives nor each relative's risk factor profile. Authors have proposed many other FH scores that overcome these deficiencies by using external expected risks adjusted for important risk factors. We consider the use of FH scores in studies, which investigate risk factors for a disease and where family risk is considered as a confounder, and examine through simulations the performance of a variety of FH scores in controlling the FR status. We also examine performance in predicting true FR status. For both criteria, only small differences were found between most of the FH scores, although the dichotomous score performed the poorest. Since the proportion score (the proportion of first-degree relatives of the index who have the disease) is the simplest to calculate, use of this score seems to be justified. Copyright (c) 2006 John Wiley & Sons, Ltd.

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Year:  2007        PMID: 17133629     DOI: 10.1002/sim.2750

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  4 in total

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Journal:  Diabetologia       Date:  2016-05-30       Impact factor: 10.122

2.  The CCC2000 Birth Cohort Study of Register-Based Family History of Mental Disorders and Psychotic Experiences in Offspring.

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Journal:  Schizophr Bull       Date:  2014-12-01       Impact factor: 9.306

3.  Developing community-based health education strategies with family history: Assessing the association between community resident family history and interest in health education.

Authors:  Elizabeth C Prom-Wormley; James S Clifford; Jessica L Bourdon; Peter Barr; Courtney Blondino; Kevin M Ball; Joshua Montgomery; Jonathan K Davis; Joseph E Real; Alexis C Edwards; Dawn L Thiselton; Gwen Corley Creighton; De'Nisha Wilson; Cynthia Newbille
Journal:  Soc Sci Med       Date:  2019-02-19       Impact factor: 4.634

4.  How should we construct psychiatric family history scores? A comparison of alternative approaches from the Dunedin Family Health History Study.

Authors:  B J Milne; T E Moffitt; R Crump; R Poulton; M Rutter; M R Sears; A Taylor; A Caspi
Journal:  Psychol Med       Date:  2008-03-26       Impact factor: 7.723

  4 in total

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