Literature DB >> 2790131

Sample size determination for confidence intervals on the population mean and on the difference between two population means.

S L Beal1.   

Abstract

Sample size determination is usually based on the premise that a hypothesis test is to be used. A confidence interval can sometimes serve better than a hypothesis test. In this paper a method is presented for sample size determination based on the premise that a confidence interval for a simple mean, or for the difference between two means, with normally distributed data is to be used. For this purpose, a concept of power relevant to confidence intervals is given. Some useful tables giving required sample size using this method are also presented.

Mesh:

Year:  1989        PMID: 2790131

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  10 in total

Review 1.  Sample size estimation in research with dependent measures and dichotomous outcomes.

Authors:  Kevin L Delucchi
Journal:  Am J Public Health       Date:  2004-03       Impact factor: 9.308

2.  Rapid sample size calculations for a defined likelihood ratio test-based power in mixed-effects models.

Authors:  Camille Vong; Martin Bergstrand; Joakim Nyberg; Mats O Karlsson
Journal:  AAPS J       Date:  2012-02-17       Impact factor: 4.009

3.  Confidence intervals and sample sizes: don't throw out all your old sample size tables.

Authors:  L E Daly
Journal:  BMJ       Date:  1991-02-09

4.  Computing Confidence Bounds for Power and Sample Size of the General Linear Univariate Model.

Authors:  Douglas J Taylor; Keith E Muller
Journal:  Am Stat       Date:  1995-01-01       Impact factor: 8.710

5.  How many subjects are necessary for population pharmacokinetic experiments? Confidence interval approach.

Authors:  Kayode Ogungbenro; Leon Aarons
Journal:  Eur J Clin Pharmacol       Date:  2008-05-16       Impact factor: 2.953

6.  Sample size under inverse negative binomial group testing for accuracy in parameter estimation.

Authors:  Osval Antonio Montesinos-López; Abelardo Montesinos-López; José Crossa; Kent Eskridge
Journal:  PLoS One       Date:  2012-03-22       Impact factor: 3.240

7.  A sample size planning approach that considers both statistical significance and clinical significance.

Authors:  Bin Jia; Henry S Lynn
Journal:  Trials       Date:  2015-05-12       Impact factor: 2.279

8.  The appropriateness of Bland-Altman's approximate confidence intervals for limits of agreement.

Authors:  Gwowen Shieh
Journal:  BMC Med Res Methodol       Date:  2018-05-22       Impact factor: 4.615

9.  DASH for asthma: a pilot study of the DASH diet in not-well-controlled adult asthma.

Authors:  Jun Ma; Peg Strub; Phillip W Lavori; A Sonia Buist; Carlos A Camargo; Kari C Nadeau; Sandra R Wilson; Lan Xiao
Journal:  Contemp Clin Trials       Date:  2013-05-03       Impact factor: 2.226

10.  Predicting sample size required for classification performance.

Authors:  Rosa L Figueroa; Qing Zeng-Treitler; Sasikiran Kandula; Long H Ngo
Journal:  BMC Med Inform Decis Mak       Date:  2012-02-15       Impact factor: 2.796

  10 in total

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