Siva Sivaganesan

http://homepages.uc.edu/~sivagas/

Research interest is in the general area of Bayesian analysis, with methodological focus in robust and objective Bayesian methods, subgroup analysis, multiple testing, nonparametrics, and nonlinear modeling, with  applications in biomedical areas, with a particular focus on bioinformatics, clinical trials, and epidemiology. 
 

Ph.D Statistics: Purdue University 1986 (Statistics)

M. Sc.: University of Birmingham U.K., 1979 (Statistics)

B. Sc: University of Colombo Sri Lanka, 1976 (Mathematics)

1986 -1987 Visiting Assistant Professor, Southern Mehodist University, Dallas, Texas

1987 -1993 Assistant Professor, Unversity of Cincinnati, Cincinnati, Ohio

1994 -1994 Research Visitor, Carnegie Mellon University, Pittsburgh, PA

1994 -1994 Research Visitor, Ohio State University, Columbus, Ohio

1996 -1996 Research Visitor, CNR-IAMI, Milan, Italy

1999 -To Present Professor, University of Cincinnati, Cincinnati, Ohio

2001 -2003 Co-Director, Statistical Consulting Lab, University Cincinnati, Cincinnati, Ohio

2005 - Visiting assistant {Professor, University of Texas, MD Anderson cancer Center, Houston, Texas

1999 -2001 Associate Editor, ISBA Bulletin,

2006 - Working Group Co-Leader, Subgroup Analysis, SAMSI, RTP, NC

2010 - Working Group Leader, PK Clustering, SAMSI, RTP, NC

Grant: #0255-7855-4609 / U54 HL127624 Investigators:Medvedovic, Mario; Meller, Jaroslaw; Sivaganesan, Siva 09-29-2014 -04-30-2019 National Heart, Lung and Blood Institute Data Coordination and Integration Center for LINCS-BD2K Role:Collaborator $609,822.00 Active Level:Federal

Grant: #Award No. 245670 Investigators:Sivaganesan, Siva 09-01-2012 -08-31-2017 Simons Foundation Bayesian Analysis and its Applications Role:PI $35,000.00 Active Level:Private Non-Profit

Grant: #1009958 09-2012 -08-2017 Simons Foundation Bayesian Analysis and its Applications Role:PI $35,000 Active Type:Grant

Grant: #U01HL111638 Investigators:Medvedovic, Mario; Reichard, John; Sivaganesan, Siva 09-24-2011 -06-30-2014 National Heart, Lung and Blood Institute Integrative Statistical Methods and Tools for Analysis of Perturbation Signatures Role:Co-I $1,111,422.00 Active

Grant: #1009788 Investigators:Funded joint with M. Medvedovic(PI) 09-2011 -06-2013 NIH Integrative statistical methods and tools for analysis of perturbation signatures, U01 HL111638-01. Role:Co-I $57,000 Active Type:Grant

06-2011 Taft Summer Fellowship

06-2011 Taft Int. Travel Grant

01-2011 Faculty Development Council Grant, Bayesian Semi-Parametric Modeling PK/PD

Investigators:Funded joint with Bin-Huang (Co-PI) 05-2010 -04-2011 CCTST- An NIH funded UC Institute CCTST Grant, Supported a graduate student. Co-PI Active

Investigators:Funded jointly with INTEROCC Investigators(PI) 06-2009 -10-2011 NIOSH/NIH Occupational Exposure to EMF Studying risk of EMF exposure. Also supported a graduate student. PI for UC Portion, Completed Type:Contract

Grant: #RAD/08/10 Investigators:Sivaganesan, Siva 08-01-2008 -11-30-2010 National Cancer Institute Occupational Exposures and Brain Cancer Role:PI $122,695.00 Closed Level:Federal

Grant: #Design Collaboration Agreement - Statistical Analysis Investigators:Sivaganesan, Siva 09-01-2007 -06-30-2014 Cincinnati Children Statistical Analysis Role:PI $1,107,879.79 Active Type:Contract

Grant: #1006149 Investigators: PI 09-2007 -06-2013 CHILDRENS HOSPITAL MEDICAL CENTER Statistical Analysis - CCHMC/ DCA 1,007,499.00 Active Type:Grant

Investigators:Funded Joint with Dr. Mario Medvedovic(PI) 07-01-2006 -Bad Format: 20100631 NIH-NHGRI Bayesian mixtures for modeling functional genomics data, R01HG003749, Co-I Completed Type:Grant

06-2006 -07-2006 CNR-IAMI (Milano, Italy) Robust Bayesian Analysis. Grant provided cost of travel.

Investigators:Funded Joint with Dr. Bin Huang(PI) 04-10-2006 -12-31-2009 NIH Innovative Modeling of Puberty and Substance Use Risk Completed Type:Grant

Grant: #CHMC 520 Investigators:Sivaganesan, Siva 04-10-2006 -06-30-2010 National Institute on Drug Abuse Risk Factors of Psychopathology Using Existing Data Sets Role:PI $36,492.00 Closed Level:Federal

Investigators:Taft Grants 2005 -2009

Grant: #R03LM8248 Investigators:Funded Joint with Dr. Mario Medvedovic (PI) 04-19-2004 -03-31-2006 Joint modeling of genomic and functional genomic data, Co-I Completed Type:Grant

Investigators:Funded joint with Dr. Mario Medvedovic (PI) 09-30-2003 -06-30-2005 NIH-NHGRI Computational Tools for Bayesian Mixture Modeling, Co-I Completed Type:Grant

Grant: #0255-C015-4609 / U54HL127624 Investigators:Medvedovic, Mario; Meller, Jaroslaw; Sivaganesan, Siva 07-01-2019 -06-30-2020 National Institute of Allergy and Infectious Diseases Data Coordination and Integration Center for LINCS-BD2K Role:Collaborator $551,515.00 Active Level:Federal

Peer Reviewed Publications

Sivaganesan, S. “Range of posterior measures for priors with arbitrary contaminations”. Communications in Statistics- Theory and Methods, Volume 17,  5 1988 , pp. 1591 - 1612

Sivaganesan, S. “Sensitivity of Posterior Mean to Unimodality Preserving Contaminations”.   Statistics and Decisions , 7 1989.77-93.

Sivaganesan, S. and Berger, J. “Ranges of Posterior Measures for Priors with Unimodal Contaminations”.   The Annals of Statistics , 17, 1989, 868-889.

Sivaganesan, S. “Sensitivity of Some Posterior Measures When Prior is Unimodal with Specified Quantiles”.  Canadian Journal of Statistics , v.19, No. 1, 1991, pp. 57-66.

Sivaganesan, S. “An Evaluation of robustness in the Binomial Empirical Bayes Testing”. Bayesian Statistics 4, 1992, pp783-789.

Sivaganesan, S. and Berger, J. “Robust Bayes Analysis of the Binomial Empirical Bayes Problem”. Canadian Journal of Statistics , vol. 21, 1, 1993, pp. 107-119.

Sivaganesan, S. “Range of the posterior probability of an interval for priors with unimodality preserving contaminations”. Annals of Institute of Statistical Mathematics, vol 45,1,1993, 171-188.

Sivaganesan, S. “Robust Bayesian Diagnostics”. The Journal of Statistical Planning and Inference, 35, 1993, pp.171-188.

Sivaganesan, S. “Bounds on Posterior Expectations for density priors with constant bandwidth (with discussion)”. The Journal of Statistical Planning and Inference, 1994, 40, 331-343.

Sivaganesan, S. Berliner, M. and Berger, J. “Optimal Robust Credible Sets for Contaminated Priors”. Statistics and Probability Letters ,18 1993, 383-388

Sivaganesan, S. Discussion to "An Overview of Bayesian Robustness"
by J. Berger. Test , V.3, 1994,116-120

Meng, Q. and Sivaganesan, S. “Local sensitivity of density bounded priors”. Statistics and Probability Letters, 27, 1996, 163-169

Sivaganesan, S. “Asymptotics of some local and global robustness
measures (with discussion)”. IMS Monograph , v. 29, pp 195-210, 1996

Lingham, R. and Sivaganesan, S. “Testing for Homogeneity in Power law Processes using IBF”. The Annals of Institute of Statistical Mathematics Vol. 49, No. 4, 693-710, 1997.

Sivaganesan, S. “Optimal Robust Sets for a Density Bounded Class”.  Journal of Statistical Planning and Inference, Vol. 63, No. 1, 9-17, 1997.

Sivaganesan, S. “Likelihood based robust Bayesian Summaries”. Statistics Probability Letters , 43, 5-12,1999.

Lingham, R. and Sivaganesan, S. “An Intrinsic Bayes Approach to a test of the Power Law Process”. Journal of Statistical Planning and Inference , 77, 195-220, 1999.

Ruggeri, F and Sivaganesan, S. “On a Global Robustness Diagnostic for Bayesian Inference”. Sankhya , vol. 62, 110-127. 2000.

Sivaganesan, S. and Lingham, R. “Bayes Factors for a test about the Drift of the Brownian Motion using Noninformative priors”. Statistics and Probability Letters , 48, 163-171, 2000.

Sivaganesan, S. “Global and Local Robustness Approaches: Uses and Limitations.” In Robust Bayesian Analysis by Rios Insua, D. and Ruggeri, F.(Eds.),Lecture Notes in Statistics, Springer, 89-108,2000.

Medvedovic, M. and Sivaganesan, S. “Bayesian Infinite Mixture Model Based Clustering of Gene Expression Profiles”. Bioinformatics, Vol. 18, no. 5, 1194-1206, 2002.

Sivaganesan, S. and Lingam, R. “Bayes Factors for model selection with Diffusion Processes under Improper Priors”. The Annals of Institute of Statistical Mathematics, 2002, Vol. 54, No. 3, 500-516.

Huang, B., Sivaganesan, S., Succoup, P. and Goodman,E. “Statistical Assessment of Mediational Effects for Generalized Mediational Models”.
Statistics in Medicine, 2004; 23:2713–2728.

Zhou, R. Sivaganesan, S. and Longla, M. An Objective Bayesian estimation of parameters in a log-binomial model.   Journal of Statistical Planning and Inference.  (2014) pp. 113-121

Jing Chen, Zhen Hu, Mukta Phatak, Johannes M Freudenberg, John Reichard, Siva Sivaganesan and Mario Medvedovic. Genome-wide signatures of transcription factor activity: connecting transcription factors, disease, and small molecules. PLoS Comp Biol, September 2013 | Volume 9 | Issue 9 | e1003198

Ruggeri, F. and Sivaganesan, S. “On modeling change points in non-homogeneous Poisson processes”. Statistical Inference for Stochastic Processes, 2005, vol. 8, 311-329.

Sivaganesan, M and Sivaganesan, S. “The Effect of Lot Variability and UV Radition on the Inactivation Kinetics of Cryyptosporidium Parvum Ooocysts”. Environmental Science and Technology, 2005; 39(11); 4166-4171.

Liu, X., Sivaganesan, S., Yeung K.Y., ,Bumgarner R. E., and Medvedovic M. “Bayesian context- specific infinite mixture model for clustering of gene expression profiles across diverse Microarray data sets”. Bioinformatics, 2006, 22(14):1737-44

Sartor M., Tomlinson C.R., Wesselkamper S.C., Sivaganesan S., Leikauf G.D., and Medvedovic M. “Intensity-based hierarchical Bayes method improves esting for differentially expressed genes in microarrays”. 2006, BMC Bioinformatics 7: 538.

Liu X, Jessen W, Sivaganesan S, Aronow BJ, Medvedovic M: Bayesian hierarchical model for transcriptional module discovery by jointly modeling gene expression and ChIP-chip data. 2007, BMC Bioinformatics, 8(1):283.

Sivaganesan, S and Jiang, D. “Objective Bayesian testing of Poisson Means”,  Communications in Statistics—Theory and Methods, 39: 1887–1897, 2010.

Freudenberg JM, Sivaganesan S, Wagner M, Medvedovic M. Semi-parametric Bayesian model for unsupervised differential co-expression analysis identifies novel molecular subtypes. BMC Bioinformatics, 11:234, 2010

Jiang, D. and Sivaganesan, S. Objective Bayesian Approach to comparing Poisson Means. The Journal of Statistical Theory and Practice, Vol. 4, No. 1, pp 85-110, March 2010.

Muller, P., Sivaganesan, S. and Laud, P. A Bayes Rule for Subgroup Reporting. In Frontiers Statistical Decision Making and Bayesian Analysis, In Honor of James O. Berger, Eds. Chen, M. et. al. Springer, pp. 277-284, 2010.

Freudenberg JM, Sivaganesan S, Phatak M, Shinde K, Medvedovic M. Generalized Random Set Framework for Functional Enrichment Analysis Using Primary Genomics Datasets.  Bioinformatics,  27(1):70-7. 2011

Sivaganesan, S., Laud, P., Mueller, P. “A Bayesian Subgroup Analysis using Zero-inflated Polya-Urn Scheme”. ”. Statistics in Medicine, Vol. 30, 4, 312-323, 2011.

Wang, G. and Sivaganesan, S. “Objective Priors for Measurement Error Models”. Communications in Statistics, Theory and Methods, Vol. 42 Issue 15  pp 2694-2713, 2013.

Dandan Li and Siva Sivaganesan “On the role of prior in multiplicity adjustment”, Journal of Statistical Theory and Practice, Vol. 10, 2016. 
 

Li, Dandan and  Sivaganesan, Siva. "An Objective Bayesian Analysis of a Crossover Design via Model Selection and Model Averaging" Statistics in Medicine, 35: 4509–4527; 2016.

Li, Dandan and Sivaganesan, Siva. "An Objective Bayesian estimation in a Two-period Crossover Design" Communications in Statistics - Theory and Methods. Published on line, July 2016. To appear in print.

Arya R, Sivaganesan S, Holland KD, Greiner HM, Mangano FT, Horn PS.  "A probabilistic approach for lateralization of seizure onset zone in drug-resistant epilepsy with bilateral cerebral pathology".  Math Biosci. 2016 Jul;277:136-40.

Oraby, T. Sivaganesan, S. , Bowman, J., Kincld, L. Richardsone, L. McBridef, M. Siemiatyckie, J. Cardis, E. Krewskih, D. (2017). Berkson Error Adjustment and Other Exposure Surrogates in Occupational Case-control Studies, with Application to the Canadian INTEROCC Study. Journal Of Exposure Science And Environmental Epidemiology..

Sivaganesan, S, Mueller, P and Huang, B.(2017). Subgroup Finding via Bayesian Additive Regression Trees. Statist. Med., 36: 2391–2403.

Liu, J., Sivaganesan, S., Laud, P. Mueller, P. (2017). A Bayesian subgroup analysis using collections of ANOVA models. Biom. J., 59: 746–766.

Conference/Workshop Proceedings

Huang, S. and Sivaganesan, S. “Marginally least Informative prior for estimation of Attributable Risk”. In The Proceedings of the Joint Statistical Meetings; 2003.

Huang, B. and Sivaganesan, S. “Bayesian Interval Estimate for Attributable Risk under Cross-Sectional Study Design using Probability Matching Prior”. The Proceedings of The American Statistical Association, 2006.

Huang, B. Altaye, M., Martin, L., Sivaganesan, S. Assessing Gene-Environment Interaction for Case-Control Study: Without Independence and Rare Disease Assumptions. In: Proceedings of the 2008 Joint Statistical Meetings, Alexandria, VA, American statistical Association. Available in library in CD ROM. 

Ding, L. Huang, B, Sivaganesan, S. Bayesian Mixture Modeling for Interval-Censored Age Onset of Puberty. In: Proceedings of the 2008 Joint Statistical Meetings, Alexandria, VA, American statistical Association. Available in library in CD ROM. 

Peer Reviewed Conference/Workshop Proceedings

Purushottam W. Laud, Siva Sivaganesan and Peter Muller, "Subgroup Analysis". Bayesian Theory and Applications, Edited by Paul Damien, Petros Dellaportas, Nicholas G. Polson and David A. Stephens. Oxford University Press. 2013.

Subgroup Analysis , Purushottam W. Laud, Siva Sivaganesan and Peter Muller. In Bayesian Theory and Applications. Edited by Paul Damien, Petros Dellaportas, Nicholas G. Polson and David A. Stephens, Oxford University Press,  2013

Review

Sivaganesan, S. Discussion of  “Overall Objective Priors” by  Bernardo et all. Bayesian Analysis Volume 10, Number 1, 223-226, 2015.

Invited Presentations

Siva Sivaganesan (06-2104. ) “Role of Prior in Bayesian Multiplicity Adjustment” .International Workshop on Multiplicity, Shanghai. Level:International

Laud,P. Sivaganesan and Muller,P (06-2014. ) ANOVA Based Bayesian Subgroup Analysis .International Workshop on Multiplicity, Shanghai. Level:International

(03-2010. ) Bayesian Frailty Models for Correlated Interval Censored data. Frontiers of Statistical Decision Theory and Bayesian Analysis, March 2010, San Antonio, TX.

Prakash laud (Invited Presenter), Joint with Peter Muller and Siva Sivaganesan Bayesian Subgroup Analysis .Crete, Greece, Level:International

(07-2010. ) How Many Subjects? .SAMSI,Workshop on Bayesian Semi-Parametric Methods in PK/PD , RTP, NC. Level:International

(03-2013. ) Invited discussant of Model Selection via EM-Algorithm .University of padua, Padua, Italy. Level:International

(12-2013. ) Invited Discussant of reference Priors for thick-talied distributions .OBayes-2013, Duke University.

(BAD DATE. ) Objective Bayesian Analysis with Log-Binomial Model .ECNU, Shanghai, China. Level:International

(05-2010. ) Objective Bayesian Testing of Poisson Models .SAMSI,, RTP, NC. Level:International

Siva Sivaganesan (08-2014. ) Subgroup Finding via Bayesian Additive Regression trees .Joint stat meetinS, Boston, MA. Level:National

Siva Sivaganesan (09-2015. ) 1 “On the Role of Prior Distribution in Multiplicity Adjustment.” .MCP 2015, Hyderabad, India. Level:International

Poster Presentations

Siva Sivaganesan, Dandan Li Objective Bayesian Analysis of Coross-Over design .OBayes 2013, Duke Univesrity, . .

Paper Presentations

Yang Xiao(Presenter), Siva Sivaganesan, Prakash Laud, Peter Muller (08-2011. ) Bayesian Subgroup Analysis .Miami, FL. Professional Meeting. Level:International

Yan Ren(Presenter), Siva Sivaganesan, Mekibib Altayee, Jane Khoury, Rhonda Vandyke A Non-parametric Bayesian Method for Hierarchical Clustering of Longitudinal Data .Miami, FL. Professional Meeting. Level:International

(08-2012. ) Robust Non-Linear Modeling .San Diego, CA. Professional Meeting.

Dandan Li (08-2012. ) On Baysian Multiplicity Adjustment .San Diego, CA. Professional Meeting.

2017 Graduate Fellow Graduate School, University of Cincinnati

2015 Excellence in Mentoring of Doctoral Students Award Graduate School, University of Cincinnati

(Executive Committee ) Member Type:Departmental Service Level:Department 08-24-2013 -12-31-2013

Taft (Taft Executive Board ) Member Type:University/College Service Level:University 08-01-2013 -To Present

(TT Hiring Committee ) Committee Chair Type:Departmental Service Level:Department 08-01-2013 -05-31-2013

(Stat&Probability Prelim, Linear Models Prelim, and Stat Qualifying ) Member Type:Departmental Service 08-01-2013 -07-31-2014

(Graduate Students Advisers ) Member Type:Departmental Service Level:Department 08-01-2013 -To Present

(Graduate affairs Committee ) Committee Chair Type:Departmental Service Level:Department 01-01-2013 -07-31-2013

(VAP Hiring Committee ) Member Type:Departmental Service 01-01-2013 -08-01-2013

Taft (faculty Travel Awards ) Committee Chair Type:University/College Service Level:University 08-15-2012 -08-01-2013

(Taft Faculty Travel ) Committee Chair Type:University/College Service Level:College 08-2012 -05-2013

(Taft Executive Board ) Member Type:University/College Service Level:College 08-2012 -05-2013

(A&S DIVERSITY TASK FORCE ) Member Type:University/College Service Level:College 08-2012 -05-2013

(Graduate Affairs Committee ) Member Type:Departmental Service Level:Department 08-2012 -05-2013

(Stat Qualifying Exam ) Member Type:Departmental Service Level:Department 08-2012 -05-2013

(Academic Committee ) Member Type:Departmental Service Level:Department 08-2012 -05-2013

(Graduate Students Evaluation Committee ) Member Type:Departmental Service Level:Department 09-2011 -06-2012

(Graduate Student Advising ) Member Type:Service to Student Groups Level:Department 09-2011 -06-2012

(Ad Hoc Committee on Journals and Books ) Type:Departmental Service Level:Department 01-2011 -07-2011

(Hiring Committee ) Committee Chair Type:Departmental Service Level:Department 09-2010 -06-2011

(Executive Commiittee ) Member Type:Departmental Service Level:Department 09-2010 -06-2012

(Graduate Affairs Committee ) Member Type:Departmental Service Level:Department 09-2010 -06-2012

(Hiring Committee ) Member Type:Departmental Service Level:Department 09-2009 -06-2010

(Graduate Students Evaluation Committee ) Member Type:Departmental Service 09-2009 -06-2010

(Executive Commiittee ) Member Type:Departmental Service 09-2009 -06-2010

(RPT ) Member Type:Departmental Service Level:Department 09-2009 -06-2010

(RPT ) Member Type:Departmental Service 09-2008 -06-2009

(Graduate Students Evaluation Committee ) Member Type:Departmental Service 09-2008 -06-2009

(Stat Prlims and Qualifying Exam Comm ) Member Type:Departmental Service 09-2008 -06-2009

(Prelim and Qualifying Committee ) Member Type:Departmental Service Level:Department

(Stat Prelim and Qualifying Exam Comm ) Member Type:Departmental Service Level:Department

Bayesian statistics; theory and applications

15-STAT-571 TIME SERIES

15-MATH-599 SPEC TOPICS: MATH Level:Graduate

Advanced Theory of Statistics Level:Graduate

15-STAT-573 AP BAYESIAN ANALYS Level:Graduate

15-MATH-631 ADV THR OF STAT I Level:Graduate

15-MATH-599 SPEC TOPICS: MATH Level:Graduate

15-STAT-614 LIN MOD/MULT ANALYS

15-MATH-576 TOP APPL STATISTIC

15-STAT-613 LIN MOD/MULT ANALYS

15-STAT-147 ELEM PROB AND STAT Level:Undergraduate

15-MATH-632 ADV THR OF STAT II Level:Graduate

15-MATH-366 ENGINEERING STATS Level:Undergraduate

15-MATH-632 ADV THR OF STAT II Level:Graduate

15-STAT-573 AP BAYESIAN ANALYS Level:Graduate

Time Series Level:Both

TIME SERIES

ADAVANCED BAYESIAN ANALYSIS