Literature DB >> 7739031

High-risk studies are influenced by indirect range restriction.

T Q Miller1.   

Abstract

High-risk studies select subjects who are at high risk for existing or future disease. Therefore, the range of disease is restricted in high-risk studies. This paper shows that high-risk studies are vulnerable to a particular type of range restriction referred to as indirect range restriction. A simulation study is used to illustrate the effects of indirect range restriction on high-risk studies. The results suggest that indirect range restriction can have a substantial impact on the results of high-risk studies. In addition, a review of several areas of behavioral medicine research suggests that high-risk studies have produced many misleading findings. The range restriction approach can be used to estimate statistical power in high-risk studies, interpret the results of high-risk studies, and design future high-risk studies.

Mesh:

Year:  1994        PMID: 7739031     DOI: 10.1007/bf01857598

Source DB:  PubMed          Journal:  J Behav Med        ISSN: 0160-7715


  33 in total

1.  Reasons for the trend toward null findings in research on Type A behavior.

Authors:  T Q Miller; C W Turner; R S Tindale; E J Posavac; B L Dugoni
Journal:  Psychol Bull       Date:  1991-11       Impact factor: 17.737

Review 2.  If 'A-B' does not predict heart disease, why bother with it? A comment on Ivancevich & Matteson.

Authors:  J J Ray
Journal:  Br J Med Psychol       Date:  1991-03

3.  Statistical design considerations in the NHLI multiple risk factor intervention trial (MRFIT). The Multiple Risk Factor Intervention Trial Group.

Authors: 
Journal:  J Chronic Dis       Date:  1977-05

4.  The limited spectrum of patients studied in exercise test research. Analyzing the tip of the iceberg.

Authors:  J T Philbrick; R I Horwitz; A R Feinstein; R A Langou; J P Chandler
Journal:  JAMA       Date:  1982-11-19       Impact factor: 56.272

5.  Components of hostility as predictors of sudden death and myocardial infarction in the Multiple Risk Factor Intervention Trial.

Authors:  T M Dembroski; J M MacDougall; P T Costa; G A Grandits
Journal:  Psychosom Med       Date:  1989 Sep-Oct       Impact factor: 4.312

6.  Coronary heart disease in the Western collaborative group study. A follow-up experience of two years.

Authors:  R H Rosenman; M Friedman; R Straus; M Wurm; C D Jenkins; H B Messinger
Journal:  JAMA       Date:  1966-01-10       Impact factor: 56.272

7.  Coronary heart disease in Western Collaborative Group Study. Final follow-up experience of 8 1/2 years.

Authors:  R H Rosenman; R J Brand; D Jenkins; M Friedman; R Straus; M Wurm
Journal:  JAMA       Date:  1975-08-25       Impact factor: 56.272

8.  Patient selection factors in angiographic studies: a conceptual formulation and empirical test.

Authors:  D R Ragland; D C Helmer; T E Seeman
Journal:  J Behav Med       Date:  1991-12

Review 9.  Carcinoembryonic antigen.

Authors:  R H Fletcher
Journal:  Ann Intern Med       Date:  1986-01       Impact factor: 25.391

10.  The MRFIT behavior pattern study. II. Type A behavior and incidence of coronary heart disease.

Authors:  R B Shekelle; S B Hulley; J D Neaton; J H Billings; N O Borhani; T A Gerace; D R Jacobs; N L Lasser; M B Mittlemark; J Stamler
Journal:  Am J Epidemiol       Date:  1985-10       Impact factor: 4.897

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  1 in total

1.  Stress processes in HIV-positive African American mothers: moderating effects of drug abuse history.

Authors:  Myron J Burns; Daniel J Feaster; Victoria B Mitrani; Christina Ow; José Szapocznik
Journal:  Anxiety Stress Coping       Date:  2008-01
  1 in total

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