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Jagpreet Chhatwal, Ph.D.

Present Title & Affiliation

Primary Appointment

Assistant Professor, Department of Health Services Research, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX

Bio Statement

My research focuses in the domain of cost-effectiveness of cancer screening programs and treatments, risk prediction modeling, medical decision making, evaluations of cancer prevention strategies using quantitative methods, and value of conducting additional research (e.g. clinical studies). My research interests also include advancing the methodology of conducting cost-effectiveness analysis, medical decision making, and modeling approaches.

Office Address

The University of Texas MD Anderson Cancer Center
1400 Pressler St.
Unit 1444
Houston, TX 77030
Room Number: FCT9.5036
Phone: 713-563-9455
Email: JChhatwal@mdanderson.org

Education & Training

Degree-Granting Education

2008 University of Wisconsin, Madison, WI, PHD, Industrial & Systems Engineering
2004 Iowa State University, Ames, IA, MS, Industrial Engineering
2001 Thapar Institute of Engineering and Technology, Patiala, Punjab, India, BE, Industrial Engineering

Experience/Service

Academic Appointments

Assistant Professor, University of Pittsburgh, Pittsburgh, PA, 9/2011-8/2013

Other Appointments/Responsibilities

Health Economist, Merck Research Laboratories, North Wales, PA, 10/2008-8/2011

Honors and Awards

2012 NIH KL2 Career Development Award
2011 AASLD Presidential Poster of Distinction
2009 George B. Dantzig Dissertation Award, Second place, Institute for Operations Research and Management Science
2009 Lee B. Lusted student prize (to Turgay Ayer for joint work), Society for Medical Decision Making
2008 Best Student Paper Award, First Place, Decision Analysis Society of INFORMS
2008 Best Student Paper Award, First Place, Manufacturing and Service Operations ManagementSociety, Society of INFORMS
2008 INFORMS Junior Faculty Interest Group best paper competition (to Oguzhan Alagoz for joint work)
2008 Paul Carbone Prize for Best Poster, University of Wisconsin Comprehensive Cancer Center
2007 Best poster award, First Place, INFORMS Annual Meeting

Selected Publications

Peer-Reviewed Original Research Articles

1. Kabiri M, Jazwinski AB, Roberts MS, Schaefer AJ, Chhatwal J. The Changing Burden of Hepatitis C Virus Infection in the United States: Model-Based Predictions. Ann Intern Med 161(3):170-180, 8/2014. PMID: 25089861.
2. Wallace DJ, Kahn JM, Angus DC, Martin-Gill C, Callaway CW, Rea TD, Chhatwal J, Kurland K, Seymour CW. Accuracy of prehospital transport time estimation. Acad Emerg Med 21(1):9-16, 1/2014. PMID: 24552519.
3. Ayvaci MU, Alagoz O, Chhatwal J, Munoz Del Rio A, Sickles EA, Nassif H, Kerlikowske K, Burnside ES. Predicting invasive breast cancer versus DCIS in different age groups. BMC Cancer 14:584, 2014. e-Pub 8/2014. PMCID: PMC4138370.
4. Luangkesorn KL, Ghiasabadi F, Chhatwal J. A Sequential Experimental Design Method to Evaluate a Combination of School Closure and Vaccination Policies to Control an H1N1-Like Pandemic. J Public Health Manag Pract 19 Suppl 5:S37-41, Sep-Oct, 9/2013. PMID: 23903393.
5. Chhatwal J, Ferrante SA, Brass C, El Khoury AC, Burroughs M, Bacon B, Esteban-Mur R, Elbasha EH. Cost-effectiveness of boceprevir in patients previously treated for chronic hepatitis C genotype 1 infection in the United States. Value Health 16(6):973-86, Sep-Oct, 9/2013. PMID: 24041347.
6. Alagoz O, Chhatwal J, Burnside ES. Optimal policies for reducing unnecessary follow-up mammography exams in breast cancer diagnosis. Decis Anal 10(3):200-224, 9/2013. PMCID: PMC3910299.
7. Ferrante SA, Chhatwal J, Brass CA, El Khoury AC, Poordad F, Bronowicki JP, Elbasha EH. Boceprevir for previously untreated patients with chronic hepatitis C Genotype 1 infection: a US-based cost-effectiveness modeling study. BMC Infect Dis 13(1). e-Pub 4/2013. PMCID: PMC3643851.
8. Elbasha EH, Chhatwal J, Ferrante SA, El Khoury AC, Laires PA. Cost-effectiveness analysis of boceprevir for the treatment of chronic hepatitis C virus genotype 1 infection in Portugal. Appl Health Econ Health Policy 11(1):65-78, 2/2013. PMID: 23355388.
9. Odhiambo R, Chhatwal J, Ferrante SA, El Khoury AC, Elbasha EH. Economic evaluation of boceprevir for the treatment of patients with genotype 1 chronic hepatitis C virus infection in Hungary. Journal of Health Economics and Outcomes Research 1(1):62-82, 2013.
10. Burnside ES, Chhatwal J, Alagoz O. What is the optimal threshold at which to recommend breast biopsy? PLoS One 7(11):e48820, 2012. e-Pub 11/2012. PMCID: PMC3492229.
11. Chhatwal J, Alagoz O, Burnside ES. Optimal Breast Biopsy Decision-Making Based on Mammographic Features and Demographic Factors. Oper Res 58(6):1577-1591, 11/2010. PMCID: PMC3057079.
12. Ayer T, Alagoz O, Chhatwal J, Shavlik JW, Kahn CE, Burnside ES. Breast cancer risk estimation with artificial neural networks revisited: discrimination and calibration. Cancer 116(14):3310-21, 7/2010. PMCID: PMC2920215.
13. Ayer T, Chhatwal J, Alagoz O, Kahn CE, Woods RW, Burnside ES. Informatics in radiology: comparison of logistic regression and artificial neural network models in breast cancer risk estimation. Radiographics 30(1):13-22, 1/2010. e-Pub 11/2009. PMCID: PMC3709515.
14. Burnside ES, Davis J, Chhatwal J, Alagoz O, Lindstrom MJ, Geller BM, Littenberg B, Shaffer KA, Kahn CE, Page CD. Probabilistic computer model developed from clinical data in national mammography database format to classify mammographic findings. Radiology 251(3):663-72, 6/2009. e-Pub 4/2009. PMCID: PMC2687530.
15. Chhatwal J, Alagoz O, Lindstrom MJ, Kahn CE, Shaffer KA, Burnside ES. A logistic regression model based on the national mammography database format to aid breast cancer diagnosis. AJR Am J Roentgenol 192(4):1117-27, 4/2009. PMCID: PMC2661033.

Abstracts

1. Xenakis A, Smith N, Beckerman R, Chhatwal J, Gregory SA, Pinilla-Ibarz J, Briggs A. A decision-analytic model of idelalisib and rituximab combination therapy versus rituximab monotherapy in relapsed, unfit chronic lymphocytic leukemia. J Clin Oncol 32(5s):suppl; abstr 7101, 2014.
2. Smith N, Xenakis A, Beckerman R, Chhatwal J, Gregory SA, Briggs A. A decision-analytic model of idelalisib in relapsed or refractory patients with indolent non-Hodgkin lymphoma. J Clin Oncol 32:suppl; abstr e17655, 2014.
3. He T, Roberts MS, Grefenstette JJ, Chhatwal J. Cost-effectiveness of hepatitis C screening in United States prisons: An agent-based approach. Annual meeting of the International Society for Pharmacoeconomics and Outcomes Research, 2014.
4. He T, Roberts MS, Grefenstette JJ, Chhatwal J. Hepatitis C Screening in United States Prisons: Health and Economic Impact on Society. Digestive Disease Week, 2014.
5. Jayasuriya SM, Chhatwal J, Elbasha EH. Changing cycle lengths in discrete-time Markov models: challenges and solutions. Annual Meeting of the Society for Medical Decision Making, 2013.
6. Chhatwal J, Roberts MS, Chopra KB, Dunn MA. Framework for determining the cost-effectiveness of new antiviral agents for hepatitis C. Hepatology 58(S4):386A-387A, 2013.
7. Elbasha EH, Chhatwal J. Heterogeneity and health outcomes using cohort- and individual-based models. Annual Meeting of the Society for Medical Decision Making, 2013.
8. Kabiri M, Jazwinski AB, Schaefer AJ, Chhatwal J. The Burden of hepatitis C infection in the 21st Century in the United States. Hepatology 58(S4):1276A-1277A, 2013.
9. Chhatwal J, Mofrad MH, Roberts MS. Cost-effectiveness analysis using Markov Decision Processes. Annual Meeting of the Society for Medical Decision Making, 2012.
10. Chhatwal J, Lundberg J, Ferrante SA, El Khoury A, Oksanen A, Elbasha EH. Cost-effectiveness of boceprevir in the treatment of chronic hepatitis C genotype-1 in Sweden. Journal of Hepatology 56:S386-S387, 2012.
11. Chhatwal J, Dunn MA, Roberts MS, Chopra KB. Prioritization of chronic hepatitis C patients for treatment with direct-acting antiviral agents. Hepatology 56(S1):268A-269A, 2012.
12. Chhatwal J, Task KD, Elbasha EH. Probabilistic sensitivity analysis with efficient sampling technique in patient-level simulation models. Annual Meeting of the Society for Medical Decision Making, 2012.
13. Becker B, Chhatwal J, Ferrante SA, Elbasha EH, Krobot KJ. Projecting the Clinical Impact of Treating Hepatitis C Genotype 1 Infection with Boceprevir in Germany. ISPOR 15th Annual European Congress, Berlin, Germany, 2012.
14. Chhatwal J, Ferrante SA, Dasbach E, El Khoury A, Brass C, Burroughs M, Bacon B, Esteban-Mur R, Elbasha EH. Cost-effectiveness of Boceprevir Use in Patients with Chronic Hepatitis C Genotype-1 Who Failed Prior Treatment with Peginterferon/Ribavirin. Hepatology 54(S1):801A-802A, 2011.
15. Ferrante SA, Chhatwal J, Dasbach EJ, Khoury E, Sniukiene V, Poordad FF, Bronowicki JP, Brass CA. Projecting The Clinical Impact of Therapeutic Regimens Including Boceprevir in Previously Untreated Adult Subjects with Chronic Hepatitis C Genotype 1. Journal of Hepatology 54:S170-S171, 2011.
16. Chhatwal J, Elbasha EH. Transformation of transition rates and probabilities in discrete-time Markov chains: What about competing risks?. Annual Meeting of the Society for Medical Decision Making 32:E142, 2011.
17. Chhatwal J, Alagoz O, Burnside ES. Biopsy or Short Interval Follow-Up? A Markov Decision Process Model for Early Diagnosis of Breast Cancer. Annual Meeting of the Society for Medical Decision Making 29:E1-E98, 2009.
18. Ayer T, Alagoz O, Chhatwal J, Shavlik J, Kahn C, Burnside ES. Comparing Artificial Neural Network Training Strategies for Breast Cancer Risk Prediction. Annual Meeting of the Society for Medical Decision Making 29:E1-E98, 2009.
19. Ayer T, Alagoz O, Chhatwal J, Shavlik J, Kahn C, Burnside ES. Discrimination and Calibration of Artificial Neural Networks in Mammographic Diagnosis. Annual Meeting of the Society for Medical Decision Making, 2009.
20. Chhatwal J, Alagoz O, Burnside ES. Optimal Breast Biopsy Decision Making Based on Mammographic Features and Demographic Factors. MSOM Society Student Paper Competition: Abstracts of 2008 Winners. Manufacturing and Service Operations Management 11(1):185-188, 2009.
21. Chhatwal J, Alagoz O, Nassif HG, Sickles EA, Jovais CS, Burnside ES. Predicting the Risk of Invasive versus In-situ Breast Cancer to Aid Clinical Management. Annual Meeting of the Society for Medical Decision Making 29:E1-E98, 2009.
22. Ayvaci MU, Alagoz O, Chhatwal J, Sickles EA, Burnside ES. Superior Performance of Bayesian Networks in Predicting the Risk of Invasive versus In-situ Breast Cancer in Older Women. Annual Meeting of the Society for Medical Decision Making, 2009.
23. Burnside ES, Chhatwal J, Alagoz O. Using Decision Analytical Techniques to Confirm the Validity of a 2% Risk of Malignancy Threshold for Breast Biopsy. 95th Annual Meeting of Radiology Society of North America, 2009.

Grant & Contract Support

Title: The Economic and Clinical Impact of Hepatitis C Treatment on Pennsylvania Medicaid
Funding Source: Commonwealth of Pennsylvania
Role: Co-Investigator
Principal Investigator: Roberts
Duration: 8/1/2014 - 12/31/2014
 
Title: Methods Training in Patient-Centered Cancer Outcomes Research
Funding Source: Agency for Healthcare Research and Quality (AHRQ)
Role: Co-Investigator
Principal Investigator: Suarez-Almazor
Duration: 6/1/2014 - 5/31/2019

Last updated: 9/17/2014