Chandan Saha



The University of Dhaka, Dhaka, Bangladesh, B.Sc. (Statistics), 1984

The University of Dhaka, Dhaka, Bangladesh, M.Sc. (Statistics), 1985

The Australian National University, Canberra, Australia, M.A. (Demography), 1990

The University of Iowa, Iowa City, USA, M.S. (Statistics), 1994

The University of Iowa, Iowa City, USA, M.S. (Biostatistics), 2000

The University of Iowa, Iowa City, USA, Ph.D. (Biostatistics), 2001



1985 – 1987   Statistical Officer / Statistical Consultant, ICDDR'B, Dhaka, 


1987 – 1989   Lecturer, Institute of Statistical Research and Training,

                         University of Dhaka, Dhaka, Bangladesh

1997 – 1998   Senior Statistical Analyst, Monumental Agency Group,

                          AEGON, Louisville, Kentucky.

2001 – 2008   Assistant Professor, Department of Medicine, Division of

                         Biostatistics, Indiana University, Indianapolis, Indiana.

2008 – 2011   Associate Professor, Department of Medicine, Division of

                         Biostatistics, Indiana University, Indianapolis, Indiana.

                         Director, Biostatistics Core, Diabetes Translational Research

                         Center, Indiana University School of Medicine, Indiana.

2011–            Associate Professor, Department of Biostatistics, Indiana

                        University School of Medicine, Indianapolis, Indiana.

                        Director, Biostatistics Core, Diabetes Translational Research

                        Center, Indiana University School of Medicine, Indiana.



1984   Kazi Motahar Hossain award for being the best student in the Department

          of Statistics, University of Dhaka, Dhaka, Bangladesh.

1998   Colombo Plan Scholarship from Australian Government for higher education, Australia.

2001   Award for excellence and outstanding contribution to the Center on Aging,

          and achievement in the public health of aging, University of Iowa, Iowa.

2002   Milford E. Barnes Award for Academic Excellence in Biostatistics,

          University of Iowa, Iowa.


My collaborative research has been in numerous areas including diabetes, pediatric autism and delayed developmental, HIV, hypertension, dermatology, stroke, obesity and fibromyalgia.

  • My primary long term research has been in diabetes focusing on preventing diabetes, understanding barriers to insulin initiation and interventions on improving diabetes related clinical outcomes.  This major collaboration resulted in several publications, e.g. the long term effect of a community-based lifestyle intervention to prevent type 2 diabetes and reduced 10-year risk of coronary heart disease (Ackerman et. al. Chronic Illness, 2011; Diabetes Care, 2009), barriers to insulin initiation (Diabetes Care, 2010), and use of multimedia technology for improving clinical outcomes through improved communication on cardiovascular disease risk between diabetic patients and physicians (Diabetes Specterm, 2010).
  • The second major collaboration I had was in stroke and hypertension. Stroke research includes a wide variety topic, e.g. how children view their abilities, feeding problems in children, cerebral palsy and association with other disability in children with  perinatal stroke (Barkat-Masih et. al. Journal of Child Neurology 2011 and 2009, Golomb et. al. Journal of Child Neurology 2008 and 2007). Research in hypertension was on methodologies of identifying hypertension in hemodialysis patients (Agarwal and Saha, Blood pressure monitoring 2007, Agarwal et. al. Kidney international 2006 and 2007),  improvement of blood pressure with suppression of ENaC (Saha et. al. Hypertension 2005) and change in blood pressure during pubertal growth (Shankar et. al. The journal of Clinical Endocrinology and Metabolism, 2005).
  • Other significant collaborative research includes treatment of HIV related endothelial dysfunction (Gupta et. al. AIDS 2010 and 2008), onset of overweight during childhood and adolescents in relation to race and sex (Saha et. al. The Journal of Clinical Endocrinology and Metabolism 2005) and severe electrocardiographic abnormalities and risk of arrhythmias and sudden death in myotonic dystrophy type I (Groh et. al. New England Journal of Medicine 2008).



Subject dropout is an inevitable problem in longitudinal studies and very often the reason for dropout might be informative. Use of linear mixed effects model in comparing rate of change in outcome and use of last observation carried forward approach (LOCF) in comparing the change in outcome from baseline are very common approaches. In collaboration with Dr. Jones at the University of Iowa, we quantified bias in parameter estimates both for linear mixed effect model and LOCF approach under informative dropout (Saha and Jones, Journal of Royal Statistical Society Series B 2005 and Saha and Jones, Journal of Statistical Planning and Inference 2009). The current follow up research in this area has been quantifying type I and type II error rates in the LOCF approach under informative dropout.

Recent Publications (In chronological order; selected from 55 peer reviewed publications):

  1. Ackermann RT, Finch EA, Caffrey HM, Lipscomb ER, Hays LM and Saha C. Long-term Effects of a Community-based Lifestyle Intervention to Prevent Type 2 Diabetes: The DEPLOY Extension Study. Chronic Illness (in press)
  2. Travers, JB, A Kozman, Y Yao, W Ming, W Yao, MJ Turner, MH Kaplan, N Mousdicas, AN Haggstrom and Saha C.  Treatment outcomes of secondarily impetiginized pediatric atopic dermatitis lesions and the role of oral antibiotics.  Pediatric Dermatology (2011, in press).
  3. Gupta SK, Mi D, Liu Z and Saha C. Endothelial, inflammatory, coagulation, metabolic effects and safety of etravirine (ETV) in HIV-uninfected volunteers. AIDS Patient Care and STDs. 2011; 25(6): 327-331. 
  4. Gupta SK, Johnson RM, Mather KJ, Clauss M, Rehman J, Saha C, Desta Z, Dube MP. Anti-Inflammatory Treatment with Pentoxifylline Improves HIV-Related Endothelial Dysfunction: A Pilot Study. AIDS. 2010; 24:1371–1380.
  5. Barkat-Masih M., Saha C. and Golomb M. R. ASKing the Kids: How children view their abilities after perinatal stroke. Journal of Child Neurology. 2011; 26(1):44-48.
  6. Roach P, Klindukhova O, Saha C, Hudson B, Cantrell M, Marrero DG. Project RedCar: Cardiovascular disease risk communication for people with type 2 diabetes: combining the power of electronic health records and computer-based multimedia technology. Diabetes Spectrum. 2010; 23:155-160.
  7. DiMeglio L. A., Tosh A., Saha C., Estes M., Mund J., Mead L E., Lien I., Ingram D. A. and Haneline L.S. Endothelial abnormalities in adolescents with Type 1 Diabetes: A biomarker for vascular sequelae? The Journal of Pediatrics. 2010; 157(4):540-46.
  8. Karter AJ, Subramanian U, Saha C, Crosson JC, Parker MM, Swain BE and Marrero DG. Barriers to insulin initiation: The Translating Research Into Action for Diabetes (TRIAD) Insulin Starts Project. Diabetes Care. 2010; 33(4): 733-735.
  9. Dutta A, Saha C, Johnson CS and Chalasani N. Variability in the Upper Limit of Normal for Serum Alanine Aminotransferase Levels: A Statewide Study. Hepatology. 2009; 50(6):1957-1962.
  10. Chawla A, Saha C and Marrero DG. A novel application of the Problem Areas in Diabetes (PAID) instrument to improve glycemic control and patient satisfaction. Diabetes Educator. 2009; 36(2):337-344.


Other highlighted peer reviewed publications (In chronological order):

  1. Saha C, Jones M P. Bias in the last observation carried forward approach (LOCF) under informative dropout. Journal of Statistical Planning and Inference. 2009; 139: 246-255.
  2. Bruno A, Saha C, Williams LS. Percent Change of Neurological Deficits in Acute Stroke: Another Useful Outcome Measure. Journal of Stroke and Cerebrovascular Diseases. 2009; 18(1): 56-59.
  3. Friedman AN, Saha C, and Watkins BA. Erythrocyte Long Chain Omega-3 Polyunsaturated Fatty Acid Content and Mortality Risk in Hemodialysis Patients. Journal of Renal Nutrition. 2008; 18(6):509-512.
  4. Groh WJ, Lowe MR, Saha C, Kincaid JC, Simmons Z, Ciafaloni E, Pourmand R, Otten RF, Bhakta D,  Nair GV, Marashdeh MM, Zipes DP and Pascuzzi RM. Severe Electrocardiographic Abnormalities and Risk of Arrhythmias and Sudden Death in Myotonic Dystrophy Type 1. New England Journal of Medicine. 2008; 358(25): 2688-2697.
  5. Das M, Saha C, and Hicham Z. E. M. Fragmented QRS in 12 Lead ECG: A Predictor of Poor Prognosis in Patients Undergoing Nuclear Stress Test. Heart Rhythm. 2007; 4(11):1385-92.
  6. Bruno A, Saha C, Williams L S. Using change in the National Institutes of Health Stroke Scale to measure treatment effect in acute stroke trials. Stroke. 2006; 37 (3): 920-1.
  7. Saha C, Jones M P (2005). Quantifying the asymptotic bias in the linear mixed-effects model under informative dropout, drop-in and other missing data patterns. The Journal of Royal Statistical Society Series B. 2005; 67(1):167-182.
  8. Saha C, Eckert G., Pratt J. H. and Shankar R. (2005). Onset of overweight  during childhood and adolescents in relation to race and sex. The Journal of Clinical Endocrinology and Metabolism.  2005; 90(5): 2648-2652.
  9. Saha C, Liu G, Riner M E. (2005) Socio-Demographic and Neighborhood Socio-Economic Factors in Developing Childhood Asthma. Archives of Pediatrics & Adolescent Medicine. 2005; 159(8): 759-763.
  10. Saha C, Eckert G, Ambrosius W. T, Altarshan A, Zhao Q, Pratt J. H. (2005) Improvement in Blood Pressure with Suppression of ENaC in Blacks with Resistant Hypertension. Hypertension. 2005; 46: 481-487.

I taught G651: Biostatistics I several times since 2002. G651 is an introductory level biostatistics course designed for healthcare professionals. This course is usually taken by graduate students, fellows and other health care professionals. It is the first in the G651 and G652 series on biostatistics methodology. The course covers the topics on data presentation techniques, describing data with numerical summary measures, probability and probability distributions, sampling distributions, statistical inferences from small and large samples, analysis of categorical data, analysis of variance, correlation and simple linear regression analysis.

I also taught G652 in 2011. G652 is an advanced biostatistics course designed for students with an interest in the health sciences. Students are expected to have completed at least one semester course of basic biostatistics. Knowledge of probability and probability distributions, concepts of estimation and hypothesis testing are assumed. Topics covered in this course include multiple linear regression, analysis of covariance, logistic regression, and survival analyses.

We offer a two-day short course each year. I taught two topics, correlation and simple linear regression, and issues in clinical trials several times.

Department of Biostatistics | 410 W. Tenth St., Suite 3000 | Indianapolis, IN 46202 | Ph: (317) 274-2661 | Fax: (317) 274-2678