Literature DB >> 7831461

A note on the use of confidence intervals in psychiatric research.

M Borenstein1.   

Abstract

The emphasis on hypothesis testing, which characterizes the majority of medical research, is often inappropriate because it focuses on statistical significance (the viability of the nil hypothesis) rather than substantive significance (the magnitude of the treatment effect). An alternative approach, the reporting of a treatment effect with the corresponding confidence interval, may better reflect the researcher's intent since these are the issues that are relevant to an informed clinical decision. Additionally, results reported in this format are less likely to be misinterpreted than results presented as p values since the precision with which the effect size is estimated would be reported separately from the effect size itself.

Entities:  

Mesh:

Year:  1994        PMID: 7831461

Source DB:  PubMed          Journal:  Psychopharmacol Bull        ISSN: 0048-5764


  1 in total

1.  Statistical significant change versus relevant or important change in (quasi) experimental design: some conceptual and methodological problems in estimating magnitude of intervention-related change in health services research.

Authors:  Berrie Middel; Eric van Sonderen
Journal:  Int J Integr Care       Date:  2002-12-17       Impact factor: 5.120

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.