Giovanni Parmigiani

Department Chair & Professor
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Research

Models and software for predicting who is at risk of carrying genetic variants that confer susceptibility to cancer. Application to breast, ovarian, colorectal, pancreatic and skin cancer.

 

Statistical methods for the analysis of high throughput genomic data: analysis of cancer genome sequencing projects; integration of genomic information across technologies; cross-study validation of genomics results.

 

Statistical methods for complex medical decisions: comprehensive models for lifetime history of chronic disease outcomes; decision trees and dynamic programming.

Bayesian modeling and computation: multilevel models; decision theoretic approaches to inference; sequential experimental design, Markov chain Monte Carlo methods.

 

Biography

Ph.D. in Statistics, Department of Statistics, Carnegie Mellon University, 1990.
M.S. in Statistics, Department of Statistics, Carnegie Mellon University, 1987.
B.S. (cum laude), in Economics and Social Sciences, Universita L. Bocconi, Milano, 1984.

 

Recent Publications

Ventz S, Alexander BM, Parmigiani G, Gelber RD, Trippa L. Designing Clinical
Trials That Accept New Arms: An Example in Metastatic Breast Cancer. J Clin
Oncol. 2017 May 22:JCO2016701169.

 

Telesca D, Müller P, Parmigiani G, Freedman RS. Modeling Dependent Gene Expression. Ann Stat. 2012;6(2):542-560.

 

Braun D, Gorfine M, Parmigiani G, Arvold ND, Dominici F, Zigler C. Propensity
scores with misclassified treatment assignment: a likelihood-based adjustment.
Biostatistics. 2017 Apr 17.

 

Tanguturi SK, Trippa L, Ramkissoon SH, Pelton K, Knoff D, Sandak D, Lindeman
NI, Ligon AH, Beroukhim R, Parmigiani G, Wen PY, Ligon KL, Alexander BM.
Leveraging molecular datasets for biomarker-based clinical trial design in
glioblastoma. Neuro Oncol. 2017 Feb 20.

 

Ventz S, Barry WT, Parmigiani G, Trippa L. Bayesian response-adaptive designs
for basket trials. Biometrics. 2017 Feb 17.

 

Edefonti V, Parmigiani G. Combinatorial Mixtures of Multiparameter
Distributions: An Application to Bivariate Data. Int J Biostat. 2017 Feb 16.

 

Harrington D, Parmigiani G. Adaptive Randomization of Neratinib in Early
Breast Cancer. N Engl J Med. 2016 Oct 20;375(16):1593-4.

 

Cefalu M, Dominici F, Arvold N, Parmigiani G. Model averaged double robust
estimation. Biometrics. 2016 Nov 28.

 

Harrington D, Parmigiani G. I-SPY 2--A Glimpse of the Future of Phase 2 Drug
Development? N Engl J Med. 2016 Jul 7;375(1):7-9.

 

Waldron L, Riester M, Ramos M, Parmigiani G, Birrer M. The Doppelgänger
Effect: Hidden Duplicates in Databases of Transcriptome Profiles. J Natl Cancer
Inst. 2016 Jul 5;108(11).

 

Related Links

My Web page

 

Keywords