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Assistant Professor, Department of Biostatistics, Columbia University, USA
My primary research interest lies in developing statistical methods to facilitate evidence-based personalized medicine in a time-varying setting, often known as dynamic treatment regimes. Once developed, these treatment regimes can serve as decision support systems for clinicians, and are deemed as a key element of the chronic care model of health care. I have authored the first textbook on this cutting-edge topic. In 2011, for my research on this topic, I won the prestigious Calderone Research Prize from the Mailman School of Public Health, Columbia University, where I was an Assistant Professor of Biostatistics, prior to my move to Duke-NUS. I also have expertise in modern clinical trial designs, including sequential multiple-assignment randomized trial (SMART) design for dynamic treatment regimes, various kinds of adaptive design, and fractional factorial design for multi-component interventions. In addition, I have research interests in statistical machine learning and data mining, bootstrap techniques, chronic diseases, time series and spatial analysis, health services research and mobile health interventions. Currently I am the principal investigator of an academic research grant on design and analysis tools for data-driven mobile health interventions, awarded by the Ministry of Education (MOE), Singapore. Over the years, I have served as a reviewer for several research funding agencies, including the National Medical Research Council (NMRC), Singapore, as well as the National Institutes of Health (NIH) and the Patient-Centered Outcomes Research Institute (PCORI) in the United States. Here is the link to my Google Scholar citation page. I am the co-director of the new Duke-NUS PhD program in Integrated Biostatistics and Bioinformatics (IBB).
Chakraborty B, Ghosh P, Moodie EEM and Rush AJ (2016). Estimating optimal shared-parameter dynamic regimens with application to a multistage depression clinical trial. Biometrics, 72(3): 865 - 876. [NUS Tier 1 – “Premium” Journal]
Ertefaie A, Shortreed S, and Chakraborty B (2016). Q-learning residual analysis: Application to the effectiveness of sequences of antipsychotic medications for patients with schizophrenia. Statistics in Medicine, 35(13): 2221 - 2234. [NUS Tier 1 – “Premium” Journal]
Matchar DB, Chei CL, Yin ZX, Koh V, Chakraborty B, Shi XM, Zeng Y (2016). Vitamin D levels and the risk of cognitive decline in Chinese elderly: the Chinese Longitudinal Healthy Longevity Survey. Journal of Gerontology: Medical Sciences, 71(10): 1363-1368. [Duke-NUS Press Release] [Media Coverage]
Cheung YK, Chakraborty B, and Davidson K (2015). Sequential multiple assignment randomized trial (SMART) with adaptive randomization for quality improvement in depression treatment program. Biometrics, 71: 450 – 459. [NUS Tier 1 – “Premium” Journal]
Maurer MS, Teruya S, Chakraborty B, Helmke S, and Mancini D (2013). Treating anemia in older adults with heart failure with a preserved ejection fraction (HFPEF) with Epoetin Alfa: Single-blind randomized clinical trial of safety and efficacy. Circulation: Heart Failure, 6: 254 – 263.
Chakraborty B and Moodie EEM (2013). Statistical Methods for Dynamic Treatment Regimes: Reinforcement Learning, Causal Inference, and Personalized Medicine. Springer, New York. ISBN: 978-1-4614-7427-2.
Chakraborty B, Laber EB, and Zhao YQ (2013). Inference for optimal dynamic treatment regimes using an adaptive m-out-of-n bootstrap scheme. Biometrics, 69(3): 714 - 723. [R package] [NUS Tier 1 – “Premium” Journal]
Chakraborty B (2011). Dynamic treatment regimes for managing chronic health conditions: A statistical perspective. American Journal of Public Health, 101(1): 40 – 45. [NUS Tier 1 – “Premium” Journal]
Chakraborty B, Murphy S, and Strecher V (2010). Inference for non-regular parameters in optimal dynamic treatment regimes. Statistical Methods in Medical Research, 19(3): 317 – 343.
Chakraborty B, Collins L, Strecher V, and Murphy S (2009). Developing multicomponent interventions using fractional factorial designs. Statistics in Medicine, 28(21): 2687 – 2708. [NUS Tier 1 – “Premium” Journal]
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