Literature DB >> 25400516

POWERLIB: SAS/IML Software for Computing Power in Multivariate Linear Models.

Jacqueline L Johnson1, Keith E Muller2, James C Slaughter1, Matthew J Gurka3, Matthew J Gribbin1, Sean L Simpson1.   

Abstract

The POWERLIBSAS/IML software provides convenient power calculations for a wide range of multivariate linear models with Gaussian errors. The software includes the Box, Geisser-Greenhouse, Huynh-Feldt, and uncorrected tests in the "univariate" approach to repeated measures (UNIREP), the Hotelling Lawley Trace, Pillai-Bartlett Trace, and Wilks Lambda tests in "multivariate" approach (MULTIREP), as well as a limited but useful range of mixed models. The familiar univariate linear model with Gaussian errors is an important special case. For estimated covariance, the software provides confidence limits for the resulting estimated power. All power and confidence limits values can be output to a SAS dataset, which can be used to easily produce plots and tables for manuscripts.

Keywords:  Gaussian errors; mixed models; multivariate linear models; power

Year:  2009        PMID: 25400516      PMCID: PMC4228969          DOI: 10.18637/jss.v030.i05

Source DB:  PubMed          Journal:  J Stat Softw        ISSN: 1548-7660            Impact factor:   6.440


  9 in total

1.  Properties of internal pilots with the univariate approach to repeated measures.

Authors:  Christopher S Coffey; Keith E Muller
Journal:  Stat Med       Date:  2003-08-15       Impact factor: 2.373

2.  Increasing scientific power with statistical power.

Authors:  K E Muller; V A Benignus
Journal:  Neurotoxicol Teratol       Date:  1992 May-Jun       Impact factor: 3.763

3.  Internal pilots for a class of linear mixed models with Gaussian and compound symmetric data.

Authors:  Matthew J Gurka; Christopher S Coffey; Keith E Muller
Journal:  Stat Med       Date:  2007-09-30       Impact factor: 2.373

4.  Statistical tests with accurate size and power for balanced linear mixed models.

Authors:  Keith E Muller; Lloyd J Edwards; Sean L Simpson; Douglas J Taylor
Journal:  Stat Med       Date:  2007-08-30       Impact factor: 2.373

5.  BIAS IN LINEAR MODEL POWER AND SAMPLE SIZE CALCULATION DUE TO ESTIMATING NONCENTRALITY.

Authors:  Douglas J Taylor; Keith E Muller
Journal:  Commun Stat Theory Methods       Date:  1996       Impact factor: 0.893

6.  BIAS IN LINEAR MODEL POWER AND SAMPLE SIZE DUE TO ESTIMATING VARIANCE.

Authors:  Keith E Muller; Virginia B Pasour
Journal:  Commun Stat Theory Methods       Date:  1997       Impact factor: 0.893

7.  A New F Approximation for the Pillai-Bartlett Trace under H0.

Authors:  Keith E Muller
Journal:  J Comput Graph Stat       Date:  1998-03       Impact factor: 2.302

8.  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

9.  Power Calculations for General Linear Multivariate Models Including Repeated Measures Applications.

Authors:  Keith E Muller; Lisa M Lavange; Sharon Landesman Ramey; Craig T Ramey
Journal:  J Am Stat Assoc       Date:  1992-12-01       Impact factor: 5.033

  9 in total
  11 in total

1.  GLIMMPSE: Online Power Computation for Linear Models with and without a Baseline Covariate.

Authors:  Sarah M Kreidler; Keith E Muller; Gary K Grunwald; Brandy M Ringham; Zacchary T Coker-Dukowitz; Uttara R Sakhadeo; Anna E Barón; Deborah H Glueck
Journal:  J Stat Softw       Date:  2013-09       Impact factor: 6.440

2.  Experimentally Manipulated Low Social Status and Food Insecurity Alter Eating Behavior Among Adolescents: A Randomized Controlled Trial.

Authors:  Michelle I Cardel; Greg Pavela; David Janicke; Tianyao Huo; Darci Miller; Alexandra M Lee; Matthew J Gurka; Emily Dhurandhar; John C Peters; Ann E Caldwell; Eric Krause; Alicia Fernandez; David B Allison
Journal:  Obesity (Silver Spring)       Date:  2020-11       Impact factor: 5.002

3.  GLUMIP 2.0: SAS/IML Software for Planning Internal Pilots.

Authors:  John A Kairalla; Christopher S Coffey; Keith E Muller
Journal:  J Stat Softw       Date:  2008-11-13       Impact factor: 6.440

4.  The effects of experimentally manipulated social status and subjective social status on physical activity among Hispanic adolescents: An RCT.

Authors:  Alexandra M Lee; Tianyao Huo; Darci Miller; Matthew J Gurka; Lindsay A Thompson; François P Modave; Young-Rock Hong; Gregory Pavela; Michelle I Cardel
Journal:  Pediatr Obes       Date:  2021-12-03       Impact factor: 3.910

5.  Power and Sample Size for Fixed-Effects Inference in Reversible Linear Mixed Models.

Authors:  Yueh-Yun Chi; Deborah H Glueck; Keith E Muller
Journal:  Am Stat       Date:  2018-06-04       Impact factor: 8.710

6.  Multivariate test power approximations for balanced linear mixed models in studies with missing data.

Authors:  Brandy M Ringham; Sarah M Kreidler; Keith E Muller; Deborah H Glueck
Journal:  Stat Med       Date:  2015-11-24       Impact factor: 2.373

7.  On summary measure analysis of linear trend repeated measures data: performance comparison with two competing methods.

Authors:  Mehrdad Vossoughi; S M T Ayatollahi; Mina Towhidi; Farzaneh Ketabchi
Journal:  BMC Med Res Methodol       Date:  2012-03-22       Impact factor: 4.615

8.  GLIMMPSE Lite: calculating power and sample size on smartphone devices.

Authors:  Aarti Munjal; Uttara R Sakhadeo; Keith E Muller; Deborah H Glueck; Sarah M Kreidler
Journal:  PLoS One       Date:  2014-12-26       Impact factor: 3.240

9.  The wellness incentives and navigation project: design and methods.

Authors:  Elizabeth Shenkman; Keith Muller; Bruce Vogel; Sara Jo Nixon; Alexander C Wagenaar; Kimberly Case; Yi Guo; Martin Wegman; Jessie Aric; Dena Stoner
Journal:  BMC Health Serv Res       Date:  2015-12-29       Impact factor: 2.655

10.  Confidence regions for repeated measures ANOVA power curves based on estimated covariance.

Authors:  Matthew J Gribbin; Yueh-Yun Chi; Paul W Stewart; Keith E Muller
Journal:  BMC Med Res Methodol       Date:  2013-04-15       Impact factor: 4.615

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