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Muller, Keith

Profile Information

Title
Professor and Director of the Division of Biostatistics
Phone
352.265.0111 x86331
Email Address
keith.muller@biostat.ufl.edu
Professional Bio

After 28 years of service to UNC Biostatistics, Professor Keith E. Muller has accepted a position as Professor and Director of the Division of Biostatistics in the Department of Epidemiology and Public Policy, School of Medicine, University of Florida (Gainesville) As of July 1, 2006, he will be Emeritus Professor at UNC. In addition to leading a focused expansion of the division, he will also help start Bachelors, Masters, and Doctoral degree programs in Biostatistics.

Current Research

My research centers on developing more efficient designs and methods for selecting sample size in study planning, especially for medical imaging research. I am principal investigator of a grant concerning "Internal Pilots With Repeated Measures." The aims are as follows. 1. Develop better statistical power algorithms for the "univariate approach" to repeated measures Analysis of Variance (UNIREP ANOVA). 2. Derive the distribution of final sample size in UNIREP ANOVA with internal pilot (IP) designs. 3. Describe distributions of test statistics in UNIREP ANOVA with IP designs. 4. Distribute free software to disseminate and popularize the new methods.

MIDAG

Collaboration with medical imaging colleagues in Computer Science, Radiology, Radiation Oncology, Neurology, and Psychiatry supports the remainder of my time. Current applications include computer-generated 3-D drawing of organ outlines for planning cancer therapy, and automatic 3-D drawing in of blood vessels in the brain with automatic detection of cancer.

Graduate research assistants in biostatistics also collaborate in all of my work.

List of Articles

Software

Click on the highlighted text to download free software and documentation.

CISIZE Version 1.0

CISIZE computes exact target probabilities of interest (including power) for any scalar parameter in a General Linear Multivariate Model with Gaussian errors and fixed predictors. This software, consisting of a single SAS IML module, focuses on sample size computations for studies aimed at estimating a confidence interval. The theory and methods are detailed in article 74.

Reliability Confidence Intervals Version 1.0

This software, consisting of a set of SAS IML ® modules, computes two estimates of reliability: intraclass correlation and Cronbach's alpha. Under the assumption of Gaussian, homogenous data with *any* covariance structure, the software gives excellent approximate confidence intervals. The exact results for the special case of compound symmetry are also available. The theory and methods are detailed in article 76.

Powerlib Version 2.03

This software, consisting of a set of SAS IML ® modules, performs power analyses for the General Linear Multivariate Model (GLMM). It allows the creation of confidence intervals around power values that reflect the uncertainty due to using estimates of variances and/or means. The theory and methods are detailed in article 31. Also see articles 33, 37, 42, and 45.

LINMOD Version 3.3

LINMOD (LINear MODels) performs a wide variety of General Linear Multivariate Model (GLMM) computations in SAS IML ® . This software is especially useful for repeated measures, complex designs, and teaching. See books 01 and 02.

MISSMOD Version 1.0

MISSMOD generalizes LINMOD (above) by allowing missing data. For more information, see article 57.

Confluent Hypergeometric Function Version 1.0

This set of SAS ® modules computes the confluent hypergeometric function M(a,b,x) by five different methods. For details, see article 61.

Publications

  • Cheng J., Edwards LJ, Maldonado-Molina M.M., Komro K.A., Muller K.E. (2010). Real longitudinal data analysis for real people: Building a good enough mixed model. Statistics in Medicine 29: 504-520.

  • Kairalla, J. A., Coffey, C. S., & Muller, K. E. (2008). GLUMIP 2.0: SAS/IML® software for planning internal pilots. Journal of Statistical Software, 28(7): 1-32.

  • Komro, K. A., Maldonado-Molina, M. M., Tobler, A. L., Bonds, J. & Muller, K. E. (2007). Effects of home access and availability of alcohol on young adolescents' alcohol use. Addiction, 102(10): 1597-1608.

  • Coffey, C. S., Kairalla, J. A. & Muller, K. E. (2007) Practical methods for bounding type I error rates with an internal pilot design. Communications in Statistics: Theory and Methods, 36(11): 2143-2157.

  • Komro, K. A., Maldonado-Molina, M. M., Tobler, A. L., Bonds, J. R. & Muller, K. E. (2007). Effects of home access and availability of alcohol on young adolescents alcohol use. The Scientific Journal of Addiction Issues, 13: 91-110.

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Grants

  • The Etiology of Alcohol Use and Consequences Among Multi-Ethnic Urban Youth
  • CTSA - Research and Design Analysis Program
  • Southeast Center for Research to Reduce Disparities in Oral Health
  • Ancillary Functional Studies for the CCTRN
  • Advanced Postgraduate Program in Clinical Investigation
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