Disclaimer:  The following information is drawn from materials prepared by candidates for promotion to associate professor in one of the scholarship-requiring tracks (RS and CS).  It is intended to illustrate activities and materials that might support promotion.  In using these materials, please note the following:             *The Provost (and, in some cases, the President) are the University officers authorized to approve promotions.  All levels of review below these officers are advisory.             *Only Departments are empowered to propose promotions, and the Divisional Dean is charged with transmitting such proposals to the Provost or returning them to the Department.             *The judgment of the Department, Dean, and Provost will therefore be critical to assessing qualification for promotion.             *Materials considered by the Department, Dean, and Provost will also (and always) include confidential evaluations obtained from outside the University.  Materials considered by the Provost will include the confidential evaluations of the Dean and Department, and those considered by the Dean will include the confidential evaluations of the Department.             *Thus, the following materials are ONLY PART of a complete proposal for promotion, whereas promotion is based on the ENTIRE proposal.   Therefore, it should not be assumed that a record comparable to that below will necessarily result in promotion, or that a record not comparable to that below will fail to result in promotion.  The Departmental Chair is likely to be the best source of advice as to whether promotion is feasible and, when it is not, what additional activity may result in qualification for promotion.             *This document has been prepared as a tool for use by assistant professors in the Division of the Biological Sciences.  Other individuals who may find it informative are Department Chairmen, Section Heads, Committee Chairmen, senior faculty and potential recruits.  Its intent is to help guide individuals and their departments as they think about promotion to Professor.  This document is not intended to list the elements that every promotion proposal will be expected to address.  The following information is presented for information purposes only and is not intended to create any contract or agreement, and its contents are subject to addition, deletion, and change without prior notice.
Name		Vanja Dukic, Ph.D.

URL for web page :

http://health.bsd.uchicago.edu/Member.aspx?PersonID=8

Department of Primary Appointment:

Health Studies

Secondary appointments:

College

DEPARTMENT: What is the candidate's field or specialization?

Biostatistics with a focus on Bayesian methods in health, environmental, and ecological science

LAY SUMMARY:

Dr Dukic has employed the paradigms of Bayesian statistical methods to solve several important biomedical problems, to extend the necessary statistical theory, and to provide computationally effective means for implementing these solutions. First, she has developed a class of methods for analyzing time-to-event data (such as progression-free survival in breast cancer) that make it possible for groups with different characteristics at baseline to have different shapes for their hazard of incurring the event. The specific models she developed (hierarchical multiresolution hazard models) are more realistic, capture more important features of the hazard functions, and have improved statistical power compared to earlier methods. Second, she has developed methods that make it possible for mental health researchers to combine information from multiple sources (such as self-reported smoking and urinary cotinine levels) in ways that avoid having to discard information that is potentially relevant to diagnosis or treatment. Third, she has developed methods for predicting the course of infectious-disease epidemics such as might be encountered in a bioterrorism incident; these methods explicitly recognize the uncertainties in the model and quantify their effects on prediction. These epidemic models can be evaluated in real time and provide public-health decision makers with information not only about the most likely course, but also the range of uncertainty in that estimate, unlike the primary models for such epidemics in current use.

Dr Dukic is an excellent teacher and has mentored many undergraduate, Masters, and doctoral students.

CURRICULUM VITAE

HONORS AND AWARDS

2007 Visitor, Institute of Mathematics and Applications, Minneapolis, MN

2007-08 Visiting Fellow, International Center for Economic Research, Torino, Italy

2006 Invitation and travel award for the “Mathematical Models in Biology”, Cornell University, Ithaca, NY

2005 Invitation and travel award for the Clay Institute “Workshop on Algebraic Statistics and Computational Biology”, Clay Institute, Boston, MA.

2005 Invitation and travel award for the “Probability on Random Networks”, Cornell University, Ithaca, NY

2004 Invitation and travel award to attend the “Pathways to the Future” Workshop and “Joint Statistical Meetings”, Toronto, Canada

2003 Invitation and travel award to attend the sixth annual “North American Meeting of New Researchers”, UC Davis, Davis, CA

2002 Travel Award for “Workshop on Developments and Challenges in Mixture Models,

Bump Hunting and Measurement Error Models“, Case Western Reserve University, Cleveland, OH

2002 Mathematical Sciences Research Institute Travel Award for “Statistical Challenges for Meta-Analysis of Medical and Health-Policy Data” workshop, Berkeley, CA

2001 “Young Investigators Workshop''. International Biometrics Society (ENAR) meeting.

PROFESSIONAL SERVICE

National and international

2006 Guest Editor, special issue of Statistica Sinica on Algebraic Statistics and

Computational Biology.

2007-2008 Fellow, International Center for Economic Research, Turin, Italy

2005-2008 Associate Editor, Statistica Sinica.

2005-2006 Chicago Asthma Consortium, Data Task Force Member.

2006-2008 Publication Officer, American Statistical Association, Section on Bayesian Statistical Science

2005 IRAP (NIH) ad hoc study section member

2005 Organizer, Invited session on Ranking and Disease Mapping, ENAR 2005;

2004-2005 Ad hoc scientific advisor to “National Children’s Study”

2002-2004 Member, NICHD (DESPR): “Dependency in Pregnancy Outcomes” group.

2003-2004 Program Chair, Invited and Contributed Posters, Joint Statistical Meetings

2003 Session Chair, ENAR/IMS Meeting

Publication Review

Acta Obstetricia et Gynecologica Scandinavica

American Journal of Epidemiology

Annals of Statistics

Biometrics

Biometrical Journal

Biostatistics

Controlled Clinical Trials

Environmetrics

Fertility and Sterility

Genome Biology

Human Reproduction

International Journal of Environmental Health Research

Journal of the American Statistical Association, Case Studies and Applications

Journal of the American Statistical Association, Theory and Methods

Journal of Theoretical Biology

Lifetime Data Analysis (LIDA)

Mortality and Morbidity Weekly Report (MMWR)

Public Library of Science (PLOS) – Medicine

Paediatric and Perinatal Epidemiology

Statistics in Medicine

Statistical Methods in Medical Research

Statistical Methods and Applications

Statistical Modelling

MEMBERSHIP IN PROFESSIONAL SOCIETIES

American Statistical Association

International Biometric Society, Eastern North American Region (ENAR)

Institute of Mathematical Statistics

American Mathematical Society

International Society for Bayesian Analysis

PRESENTATIONS

INVITED PRESENTATIONS:

Dukic, V. Joint Statistical Meetings, Summer 2007:

Meta-Analysis of Diagnostic Studies. A invited round-table discussion leader.

This is the main annual statistical conference, drawing 5000 or more statisticians. There are about 30 roundtables at the entire conference, and are considered highly-visible discussion-based scientific exchanges, limited to about 12 people.

Dukic, V. Colloquium: Dept of Biostatistics, University of Washington, Spring 2007:

Bayesian SEIR model for multi-city epidemics.

Dukic, V. Colloquium: Dept of Statistics, Pennsylvania State University. Spring 2007:

Bayesian SEIR model for multi-city epidemics.

Dukic, V. Colloquium: Dept of Statistics, Purdue University. Spring 2007:

Bayesian SEIR model for multi-city epidemics.

Dukic, V. Invited conference talk: Graybill Conference on Multiscale Methods and Statistics.

Spring 2006:

Resolution-invariant Binary Partition Priors in Hazard Estimation.

This is a highly specialized but integrated (mathematics, engineering, and statistics) conference.

Dukic, V. Invited conference poster: Bayesian Statistics 8, Benidorm, Spain, Summer 2006:

AIDS Reporting Delay in the US Cities: Analysis of the Centers for Disease Control (CDC) Data

This is the main international Bayesian conference offered every 4 years.

Dukic, V. Invited talk and short course: Dept of Statistics and Applied Mathematics, U of Torino, Torino, Italy, Summer 2006:

Bayesian Algorithms and Computation: a short course.

Dukic, V. CRM-ISM-GERAD Colloquium, jointly at McGill University, Concordia University,

Universite de Montreal, and Universite de Quebec a Montreal. Spring 2006:

Bayesian SEIR model for multi-city epidemics.

Dukic, V. Colloquium: Dept of Statistics, University of Toronto. Spring 2006:

Bayesian SEIR model for multi-city epidemics.

Dukic, V. Invited conference talk: Clay Institute, Algebraic Statistics and Computational

Biology Workshop. Autumn 2005:

Resolution-invariant Binary Partition Priors: Application to Breast Cancer Survival Studies.

This was a highly specialized and integrated (mathematics, biology, computer science and statistics)

workshop oriented at discussing novel interdisciplinary methods.

Dukic, V. Invited talk: Children's Environmental Health Symposium, Chicago, IL.

Autumn 2005:

Statistical Methods for Linking Air Pollution Measures and Asthma Outcomes.

This was a small but very integrated conference organized by EPA to present the state of child health environmental research.

Dukic, V. Invited workshop talk: Infertility Workshop on ART and Child Health (NIH-NICHD). Washington, DC. Autumn 2005: Statistical Challenges in Infertility Studies.

This is the invitation-only workshop held at NIH discussing challenges and opportunities in current

studies of infertility treatments and child health.

Dukic, V. Invited poster: Bayesian Inference in Stochastic Processes, Varenna, Italy. Jun 2005: Bayesian SEIR model for multi-city smallpox epidemics. (selected poster)

This is the one of the premier international Bayesian conferences offered every 2 years. It is limited to 80 people and highly focused on real scientific applications.

Dukic, V. Colloquium: Dept of Statistics, Harvard University. Spring 2005:

Bayesian SEIR model for multi-city smallpox epidemics.

Dukic, V. Colloquium: Dept of Statistics, Case Western Reserve University. Spring 2005:

Optimal Ranking of Survival Curves: An OSCR performance.

Dukic, V. Invited Conference Talk: ENAR 2005 Meeting, Austin, TX

Bayesian Approach to Evaluating Uncertainty in Ranking: Application to AIDS Reporting Delay in US

Cities.

This is the main annual biostatistics conferences.

Dukic, V. Colloquium: Dept of Biostatistics, Medical College of Wisconsin, Milwaukee.

Autumn 2004:

A Bayesian Multi-resolution Model for Multicenter Survival Studies

Dukic, V. Colloquium: Dept of Biostatistics, University of Iowa. Autumn 2004:

A Bayesian Multi-resolution Model for Multicenter Survival Studies

Dukic, V. Invited Conference Talk: Chicago Asthma Consortium. November 2004:

Short-term respiratory health effects of air pollution in metropolitan Chicago.

This was a small but very integrated conference organized by Chicago Asthma Consortium to present the state of asthma research and promote discussion among various fields of research in Chicago.

Dukic, V. Colloquium: Dept of Statistics, University of South Carolina. Autumn 2004:

Bayesian Approach to Modeling Disease Spread in a Multi-city Outbreak.

Dukic, V. Colloquium: Dept of Statistics, University of Michigan. Autumn 2004:

Bayesian Approach to Modeling Disease Spread in a Multi-city Outbreak.

Dukic, V. Invited Conference Talk: International Chinese Statistical Association: Applied

Statistics Symposium, San Diego (2004)

Hierarchical Models in Meta-Analysis of Diagnostic Test Accuracy Studies.

This is one of the main international applied statistics conferences.

Dukic, V. Invited Workshop Talk: National Children’s Study Workshop: “Day-Specific

Probabilities of Conception”. Washington, DC, May 17 and 18, 2004.

Correlation in Prospective Pregnancy Studies.

This was the invitation-only workshop for about 20 scientists in the field of modeling human fertility

held at NIH, discussing challenges and opportunities in current studies of human fertility and

assisted reproductive techniques research.

Dukic, V. Invited Conference Talk: International Biometrics Society (ENAR) meeting,

Pittsburgh, PA (2004):

Bayesian Methods in Meta-Analysis of Survival Data

This is the main annual biostatistics conferences.

Dukic, V. Invited Conference Talk: New Researcher Conference, University of California-

Davis, Davis, CA (2003):

Estimation of Variance after Model Selection in a Gaussian Model

This conference was for a group of 40 young researchers, by invitation only, as a medium

where we can present our research, form collaborations among each other, and exchange advice

and ideas.

Dukic, V. Invited Conference Talk: International Biometrics Society (ENAR) meeting, Tampa,

FL (2003):

Health Effects and Environmental Risk Assessment of Air Pollution

This is the main annual biostatistics conferences.

Dukic, V. Invited Conference Talk: Workshop on Developments and Challenges in Mixture Models, Bump Hunting and Measurement Error Models Cleveland, OH (2002):

Bayesian Hierarchical Models in Meta-Analysis of Diagnostic Test Accuracy Studies

This was a highly specialized conference for researchers in the field.

Dukic, V. Invited Conference Talk: Mathematical Sciences Research Institute, Statistical Challenges for Meta Analysis of Medical and Health-Policy Data” workshop, Berkeley, CA (2002):

Bayesian Hierarchical Models in Meta-Analysis of Diagnostic Test Accuracy Studies

This was highly specialized workshop for about 100 researchers on meta-analysis.

Dukic, V. Colloquium: University of Illinois, Chicago, IL (2001):

A Hierarchical Bayesian Approach to Modeling Embryo Implantation Following in vitro Fertilization.

Dukic, V. Colloquium: Universit