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Biostatistics and Computational Biology

URMC / Department of Biostatistics and Computational Biology / People & Research / Faculty / Michael McDermott, PhD

Michael McDermott, PhD

Mike McDermott Ph.D.Associate Chair
 Professor of Biostatistics
 Professor of Neurology
 Professor, Center for Health + Technology
Ph.D. (1989) University of Rochester

Contact Information

University of Rochester
Dept of Biostatistics and Computational Biology
265 Crittenden Blvd., CU 420630
Rochester, New York 14642-0630
 
Office: Saunders Research Building 4105
Phone: (585) 275-6685
Fax: (585) 273-1031
E-mail: Michael_McDermott@urmc.rochester.edu

Research Interests

Much of my statistical research has been in the area of order-restricted inference, specifically with regard to developing novel approaches to hypothesis testing problems involving order-constrained parameters.  This methodology is useful in many applications, including dose-response studies and clinical trials with multiple endpoints.  I am also interested in problems of inference concerning receiver operating characteristic (ROC) curves and surfaces, including the problem of correcting verification bias that sometimes arises in studies of the performance of diagnostic tests.  Other areas of interest include methods for combining p-values, reliability of measurement, meta-analysis, missing data problems, and clinical trials methodology.

I hold a joint appointment with the Department of Neurology and much of my collaborative work stems from this relationship.  I have been a member of several national and international collaborative groups conducting basic and clinical research in Parkinson’s disease, Huntington’s disease, Tourette’s syndrome, epilepsy, various muscular dystrophies and other muscle diseases, HIV-associated dementia, multiple sclerosis, idiopathic intracranial hypertension, and pain.  

I have served on the editorial board for the journal Movement Disorders since 2010 and as an Editor for the journal International Statistical Review since 2022. I was Associate Editor for the journal Neurology from 1997-2003 and an Editor for Chance magazine from 2014-2019. I am a Fellow of the American Statistical Association, an Elected Member of the International Statistical Institute, and a member of the Biometric Society, the Institute of Mathematical Statistics, and the Society for Clinical Trials. 

Selected References

  • Mudholkar, G. S. and McDermott, M. P. (1989).  A class of tests for equality of ordered means.  Biometrika 76:161-168.
  • McDermott, M. P. and Mudholkar, G. S. (1993).  A simple approach to testing homogeneity of order constrained means.  Journal of the American Statistical Association 88:1371-1379.
  • Wang, Y. and McDermott, M. P. (1998).  Conditional likelihood ratio test for a nonnegative normal mean vector.  Journal of the American Statistical Association 93:380-386.
  • Zou, K. H. and McDermott, M. P. (1999).  Higher-moment approaches to approximate interval estimation for a certain intraclass correlation coefficient.  Statistics in Medicine 18:2051-2061.
  • McDermott, M. P. (1999).  Generalized orthogonal contrast tests for homogeneity of ordered means.  Canadian Journal of Statistics 27:457-470.
  • Wang, Y. and McDermott, M. P. (2001).  Uniformly more powerful tests for hypotheses about linear inequalities when the variance is unknown.  Proceedings of the American Mathematical Society 129:3091-3100.
  • McDermott, M. P. and Wang, Y. (2002).  Construction of uniformly more powerful tests for hypotheses about linear inequalities.  Journal of Statistical Planning and Inference 107:207-217.
  • McDermott, M. P., Hall, W. J., Oakes, D., and Eberly, S. (2002).  Design and analysis of two-period studies of potentially disease-modifying treatments.  Controlled Clinical Trials 23:635-649.
  • Kost, J. T. and McDermott, M. P. (2002).  Combining dependent p-values.  Statistics and Probability Letters 60:183-190.
  • Kost, J. T. and McDermott, M. P. (2008).  Testing equality of means under order restrictions using multiple contrasts.  Communications in Statistics, Part A – Theory and Methods 37:3029-3039.
  • He, H. and McDermott, M. P. (2012).  A robust method using propensity score stratification for correcting verification bias for binary tests.  Biostatistics 13:32-47.
  • Morrissette, J. L. and McDermott, M. P. (2013).  Estimation and inference concerning ordered means in analysis of covariance models with interactions.  Journal of the American Statistical Association 108:832-839.
  • Chowdhry, A.K., Dworkin, R. H., and McDermott, M. P. (2016).  Meta-analysis with missing study-level sample variance data.  Statistics in Medicine 35:3021-3032.
  • Ma, S. and McDermott, M.P. (2020). Generalized multiple contrast tests in dose-response studies. Statistics in Medicine 39:757-772.
  • Ma, S. and McDermott, M.P. (2022). Adaptive dose-response studies to establish proof-of-concept in learning phase clinical trials. Biometrical Journal 64:146-164.

Last updated:  March 23, 2022