Staff profile

Professor Robert G Staudte

Emeritus Professor

Faculty of Science, Technology and Engineering

School of Engineering and Mathematical Sciences
Department of Mathematics and Statistics

Physical Sciences 2, Room 228, Melbourne (Bundoora)

 

Qualifications

AB, ScB Brown, MSc, PhD Illinois at Urbana-Champaign

Membership of professional associations

American Statistical Association, the Statistical Society of Australia, the Sigma Xi Honorary Scientific Society and the International Statistical Institute.

Area of study

Mathematics and Statistics

Brief profile

 Professor Staudte carried out his graduate studies att the University of Illinois, Urbana-Champaign, where he was awarded the MSc in Mathematics in 1964 and the PhD in Mathematical Statistics in 1968. After promotion to Associate Professor at Michigan State University in 1973, he moved to La Trobe University at the Senior Lecturer level and was recently promoted to Professor. He is a past Associate Editor for the Journal of Statistical Planning & Inference and for Statistics and Probability Letters. His  research  has been supported by 4 large ARC grants and his consulting by the Department of Health and Ageing and  the NICS/NHMRC. Professor Staudte has served as Head of the Department of Statistical Science for five years and Head of the School of Mathematical and Statistical Sciences for three years. He has held visiting scholar positions at the Swiss Federal Institutes of Technology in Zurich and Lausanne, the Departments of Statistics at Carlos III University of Madrid, Queen's University in Kingston, Ontario, the University of Paris VII, the University of California at Berkeley, the University of Geneva and Cornell University.  He is currently collaborating with colleagues Dr. Luke Prendergast of LTU, Professor Elena Kulinskaya of UEA, Norwich and Professor Stephan Morgenthaler of EPFL, Lausanne.

Research specialisation

- Biostatistics

Recent publications

Books:

  • Kulinskaya, E., Morgenthaler, S. and Staudte, R.G., 2008, Meta Analysis: a Guide to Calibrating and Combining Statistical Evidence, New York: John Wiley and Sons.
  • Staudte, R.G., 1990,  Seeing, Through Statistics; An introductory text with Minitab problems. Sydney: Prentice Hall Australia Pty. Ltd.
  • Staudte, R.G. and Sheather, S.J., 1990, Robust Estimation and Testing, New York: John Wiley and Sons.
  • Staudte, R.G., 1980, Robust Estimation, No.53 in the Queen's Papers in Pure and Applied Mathematics, Eds. Coleman, A.J., and Ribenboim, P.   Queen’s University Press, Kingston, Ontario.

 

Chapters in books/reports:

  • Staudte, R.G. and Prendergast, L.A. (2012). "A Review of Robust Methods in Biostatistics by Stephanie Heritier, Eva Cantoni, Samuel Copt and Maria-Pia Victoria-Feser, Wiley, 2009." Australian and New Zealand Journal of Statistic, pp. to appear.
  • Staudte, R.G. (2011). "A Review of Multivariate meta-analysis: Modeling the heterogeneity; Mixing apples and oranges; dangerous or delicious? by Lidia R. Arends, 2006" Research Synthesis Methods 1 316-318.
  • Kulinskaya, E., Morgenthaler, S.  and Staudte, R.G., (2011) ‘Meta-Analysis’ invited entry in The International Encyclopedia Of Statistical Sciences, Ed. Miodrag Lovric, Springer-Verlag,  vol. 13, pp. 811-815
  • Kulinskaya, E., Morgenthaler, S.  and Staudte, R.G., (2011) ‘Significance Testing: an Overview’ invited entry in The International Encyclopedia Of Statistical Sciences, Ed. Miodrag Lovric, Springer-Verlag,  vol. 19, pp. 1318-1321.
  • Sommer, S. and Staudte, R.G., (2000) ‘Nearly optimal measures of evidence for variable selection’.  DataSegmentation and Model Selection for Computer Vision, a Statistical Approach. Eds. A. Bab-Hadiashar and D. Suter, Springer-Verlag, New York, pp.  4189.
  • Staudte, R.G. and Zhang, J., (1998) ‘Guarded weights of evidence and acceptability profiles for one-sided hypotheses using censored data.’ Advances in Mathematical Population Dynamics---Molecules, Cells and Man. In the series Mathematical Biology and Medicine, publisher World Scientific. Editors Arino, O., Axelrod, D. and Kimmel, M., vol 6, pp. 155-165.
  • Dollinger, M.B., Kulinskaya, E. and Staudte, R.G., (1996),  ‘When is a p-value a good measure of evidence?’ in Robust Statistics, Data Analysis, and Computer Intensive Methods, Ed. Rieder, H.  vol. 109. Springer-Verlag Lecture Notes in Statistics, pp. 119-134.
  • Dollinger, M.B. and Staudte, R.G., (1991) ‘Efficiency of  reweighted least squares iterates’, in Directions in Robust Statistics and Diagnostics, Part I, Eds. W. Stahel and S. Weisberg, vol. 33, The IMA Volumes in Mathematics and Statistics, pp. 61-65.

 

Papers in refereed journals:

  • 2012 ' Transforming the Model-T: Random effects meta-analysis with stable weights' , Statistics in Medicine ,by Malloy, M., Prendergast, L.A. and Staudte, R.G., DOI: 10.1002/sim.566.   
  • 2012 'The advantages of variance stabilization',  Scandinavian Journal of Statistics, by Morgenthaler, S. and Staudte, R.G.,, DOI: 10.1111/j.1467-9469.2011.00768.x.
  • 2011 ‘Comparison of methods for fixed effect meta-regression of standardized differences of means’, Electronic Journal of Statistics, by Malloy, M.J., Prendergast, L.A. and Staudte, R.G., 5, pp.83-101.
  • 2011 ‘Combining the Evidence using Stable Weights’, Research Synthesis Methods, by Kulinskaya, E., Morgenthaler, S. and Staudte, R.G.,  1, 284-296.
  • 2011 ‘A review of “Multivariate meta-analysis: modeling the heterogeneity;Mixing apples and oranges; dangerous or delicious?” by Lidia R. Arends,  Alblasserdam, Research Synthesis Methods, by Staudte, R.G., 1, 316-318.
  • 2010 'Variance stabilizing the difference of two Binomial Proportions',  The American Statistician, by  Kulinskaya, E. Morgenthaler, S. and Staudte, R.G., 64 pp. 350-356. 
  • 2007 Kulinskaya and Staudte, R.G., 'Confidence Intervals for the standardized effect arising in comparisons of two normal populations' Statistics in Medicine 26 2853-2871. 
  • 2006 Kulinskaya, E. and  Staudte, R.G., 'Interval estimates of  weighted effect sizes in the one-way heteroscedastic ANOVA', British Journal of Mathematical and Statistical Psychology 59 97-111.2005 Morgenthaler, S. and Staudte, R.G.  ‘Conditionally Optimal Weights of Evidence’, Acta Mathematicae Applicatae Sinica 21, 247-256. 
  • 2003 Kulinskaya, E., Staudte, R.G. and Gao, ‘ Power approximations in testing for unequal means in a one-way ANOVA weighted for unequal variances,’ Communications in Statistics-Theory and Methods, 32, 2353-2371. 
  • 2002 Morgenthaler, S. and Staudte, R.G., ‘Optimal weights of evidence with bounded influence’, Metrika, 55, 91-97.

 

Conference papers:

  • 2010   Staudte, R.G. ‘Confidence Intervals for Effect Sizes in a Meta-analysis based on Paired Comparisons and Independent Group Data, In the Proceedings of the 25thInternational Workshop on Statistical Modelling, July 5-9, Glasgow, 515-520.
  • 2009  'Confidence Intervals for the risk difference', invited special topics paper presented to the International Statistical Institute Conference, Durbin, South Africa.
  • 2007  Kulinskaya, E., Staudte, R.G., ‘Cochran's Q-test for variance stabilized effect size estimates and a random effect size model’, In the Proceedings of the 22nd International Workshop on Statistical Modelling, July 2-6, 2007, Barcelona, Spain, 390-393.
  • 2006 Kulinskaya, E., Staudte, R.G., ‘A model for combining the evidence in several t-statistics to estimate an overall standardized effect’, In the Proceedings of the 21st International Workshop on Statistical Modelling, July 3--7, 2006, Galway, Ireland, 309-312.
  • 2005 Staudte, R.G.  ‘Measures of Evidence and Inference’, Invited Paper presented to the 57th International Statistical Institute, April, in Sydney. Available on cd from the ISI2005 website, or ISBN 10:90-73592-23-2  and ISBN 13:978-90-73592-230.

Older publications

  • Dollinger, M.B., Kulinskaya, E. and Staudte, R.G., 1999, Guarded weights of evidence and acceptability profiles based on signs: II. Asymptotics, Austral. & New Zealand J. Statist., 41, 451-461.
  • Blyth, C.R., Kulinskaya, E. and Staudte, R.G., 1999, Rejoinder to Comments by W. Schaafsma on Guarded weights of evidence and acceptability profiles based on signs: I. Permutation Arguments, Austral. & New Zealand J. Statist., 41, 108-110.
  • Dollinger, M.B., Kulinskaya, E. and Staudte, R.G., 1999, Guarded weights of evidence and acceptability profiles based on signs: I. Permutation Arguments (with discussion), Austral. & New Zealand J. Statist., 41, 91-107.
  • Kulinskaya, E. and Staudte, R.G., 1998, Tests and optimal guarded weights of evidence, Journal of Statistical Planning and Inference, 71, 1-18.
  • Blyth, C.R. and Staudte, R.G., 1997, Hypothesis estimation and acceptability profiles for 2 x 2 contingency tables, J. Amer. Statist. Soc., 92, 694-699.
  • Staudte, R.G., Zhang, J., Huggins, R.M. and Cowan, R., 1996, A re-examination of the cell lineage data of E.O. Powell, Biometrics, 52, 1214-1222.
  • Sommer, S. and Staudte, R.G., 1995, Variable selection in linear regression in the presence of outliers and leverage points, Austral. J. Statist., 37, 323-336.
  • Blyth, C.R. and Staudte, R.G., 1995, Estimating statistical hypotheses, Prob. & Statist. Letters, 23, 45-52.
  • Ronchetti, E.M. and Staudte, R.G., 1994, A robust version of Mallow's Cp, J. Amer. Statist. Assoc., 89, 550-559.
  • Huggins, R.M. and Staudte, R.G., 1994, Variance components models for dependent cell populations, J. Amer. Statist. Assoc., 89, 19-29.
  • Staudte, R.G., 1992, A bifurcating autoregression model for cell lineages with variable generation means, J. Theor. Biol., 156, 183-195.
  • Dollinger, M.B. and Staudte, R.G., 1991a, Influence functions of iteratively reweighted least squares estimators, J. Amer. Statist. Soc., 86, 709-716.
  • Cowan, R. and Staudte, R.G., 1986, The bifurcating autoregression model in cell lineage studies, Biometrics, 42, 769-783.

Research projects

Professor Staudte is  currently collaborating with Ph.D. student Mr. Michael J. Malloy and colleague Dr. Luke Prendergast on ‘Random effects meta regression.’