About Me

Worked in statistical applications to bio-sciences for several decades. Significant improvements of public health (Q.Zhang, M.Safford, J.Ottenweller, G.Hawley, D.Repke, J.F.Burgess, S.K.Dhar et al. 2000). Worked as with the Department of Cell Biology & Molecular Medicine, UMDNJ. Using design of experiment methods, weighted least squares methods and generalized linear models, examples (N.H.Banke, L.Yan, K.M.Pound,

**S.K.Dhar****,**et al.*2012, X.Zhao, D.Ho, P.Abarzúa, S.K.Dhar, et al. 2011, L.Chen, P. Lizano, X. Zhao, X. Sui, S.K. Dhar, et al. 2011) Collaborations with Dr. G.Atlas and others, Department of Anesthesiology at UMDNJ (A.G.Fiol, R.Horvath, C.Schoenberg, N.Ahmed, S.K.Dhar, et al. 2016, G.Atlas, S.K.Dhar, et al. 2014), developing new non-invasive ways to measure patient data using Esophagus Doppler Monitor (G.Atlas, D. Brealey, S.K.Dhar***,**et al. 2012). A lung model statistical analysis (G.Atlas, S.K.Dhar, et al. American Society of Anesthesiology, 2007), and finite recursive models that represent anesthesia within the patient’s system (G.Atlas & S.K.Dhar 2010). Bootstrap based test to establish non-inferiority of drugs in clinical trials (M.Chen, F.Kianifard & S.K.Dhar, 2006) was developed. Multivariate frequency count and reliability models (S.K.Dhar: X.Jiang 2000, 1998, 1996, X.Jiang 1995, 1995, and A.P.Basu 1995) are developed. Wider application using linear, log-linear and logit models via new generalized inverse sampling scheme. Other models of dependent groups of components and their life probability distributions (S.K.Dhar: J.Li 2013, S.Balaji, 2006 & 2003). New discrete bivariate models have been developed with applications to reliability (S.K.Dhar: 1998, and A.P.Basu 1995). Robust and efficient minimum distance estimators (S.K.Dhar:*J. American Statist. Assoc.*1993, 1992, The*Annals of Statist.*1991,*Australian Mathematical Society Journal Series A*, 1990). Specifically, significant optimization tool (S.K. Dhar,*J. American Statist. Assoc.*1993), for the general class of sums of absolute multivariate linear functions, where linear programming methods fail. Research into the existence of minimum distance estimators (S.K.Dhar, D.Chen, 2005). https://www.ncbi.nlm.nih.gov/myncbi/sunil.dhar.1/bibliography/public/
Education

Ph.D.; Michigan State University; Statistics; 1988

M.S.; Michigan State University; Statistics & Probability; 1983

M.S.; University of Poona; ; 1981

B.S.; University of Poona; ; 1979

M.S.; Michigan State University; Statistics & Probability; 1983

M.S.; University of Poona; ; 1981

B.S.; University of Poona; ; 1979

Teaching Interests

Teaching for me is not just a profession; it is an act of service to the world community. As an example, Biostatistics knowledge among clinicians as a scientific communication channel is essential for the growth of health industry and my teaching skills has enriched this communication.

Past Courses

MATH 244: INT TO PROBABLITY THEORY

MATH 333: PROBABILITY & STATISTICS

MATH 341: STATS METHODS I

MATH 345: MULTIVARIATE DISTRIBUTIONS

MATH 654: CLINICAL TRIALS DESIGN &ANALYS

MATH 661: APPLIED STATISTICS

MATH 662: PROBABILITY DISTRIBUTIONS

MATH 663: INTRODUCTION TO BIOSTATISTICS

MATH 664: METHODS FOR STAT CONSULT

MATH 665: STATISTICAL INFERENCE

MATH 699: DES & ANALY EXPERIMENTS

MATH 707: ST:GENERALIZED LINEAR MODEL

MATH 707: ST:GENERALIZED LINEAR MODELS

MATH 710: GRADUATE RESEARCH METHOD

MATH 763: GENERALIZED LINEAR MODELS

MATH 333: PROBABILITY & STATISTICS

MATH 341: STATS METHODS I

MATH 345: MULTIVARIATE DISTRIBUTIONS

MATH 654: CLINICAL TRIALS DESIGN &ANALYS

MATH 661: APPLIED STATISTICS

MATH 662: PROBABILITY DISTRIBUTIONS

MATH 663: INTRODUCTION TO BIOSTATISTICS

MATH 664: METHODS FOR STAT CONSULT

MATH 665: STATISTICAL INFERENCE

MATH 699: DES & ANALY EXPERIMENTS

MATH 707: ST:GENERALIZED LINEAR MODEL

MATH 707: ST:GENERALIZED LINEAR MODELS

MATH 710: GRADUATE RESEARCH METHOD

MATH 763: GENERALIZED LINEAR MODELS

Research Interests

Modeling: Multivariate Count, Pharmaceutical Statistical, Reliability, Survival, Generalized Linear.

Inference: Non parametric, Robust statistics, Bootstrap, Bayesian.

Inference: Non parametric, Robust statistics, Bootstrap, Bayesian.

Technical Report

Statistical Analysis: Parametric Models for Clinical Measurements in Ophthalmology

ThirtyFifth Annual Workshop on Mathematical Problems in Industry, New Jersey Institute of Technology, August 2019

New Performance Measures for Credit Risk Models

September 2014

A preliminary fractional calculus model of the aortic pressure flow relationship during systole

February 2014

Generalized Linear Model under the Extended Negative Multinomial Model and Cancer Incidence

2013

A Teaching Experience in the Medical Department: From Concepts to Computation

July (3rd Quarter/Summer) 2011

ThirtyFifth Annual Workshop on Mathematical Problems in Industry, New Jersey Institute of Technology, August 2019

New Performance Measures for Credit Risk Models

September 2014

A preliminary fractional calculus model of the aortic pressure flow relationship during systole

February 2014

Generalized Linear Model under the Extended Negative Multinomial Model and Cancer Incidence

2013

A Teaching Experience in the Medical Department: From Concepts to Computation

July (3rd Quarter/Summer) 2011

Journal Article

Dhar, Sunil, & Hans, Chaudhry, & Bukiet, Bruce, & Ji, Zhiming, & Gao, Nan, & Findley, Thomas (2018). Studying the Optimal Scheduling for Controlling Prostate Cancer under Intermittent Androgen Suppression.

Fiol, Antonio , & Horvath, Robert , & Schoenberg, Catherine, & Ahmed, Nubyra, & Dhar, Sunil, & Le, Vanny (2016). Comparison of Changes in Tensile Strength in 3 Different Flexible Epidural Catheters Under Various Conditions..

Dhar, Sunil, & Lahiri, Soumi (2014). Generalized Linear Model under the Extended Negative Multinomial Model and Cancer Incidence.

Bhattacharjee, Manish, & Dhar, Sunil (2014). On Equality in Distribution of Ratios X/(X+Y) and Y/(X+Y).

Atlas, Glen, & Dhar, Sunil, & Li, John (2014). Pulsatile Aortic Pressure-Flow Analysis using Fractional Calculus for Minimally-invasive Applications.

*Bepress, Harvard University Biostatistics Working Paper Series.*,*Working Paper 214.*, 22.Fiol, Antonio , & Horvath, Robert , & Schoenberg, Catherine, & Ahmed, Nubyra, & Dhar, Sunil, & Le, Vanny (2016). Comparison of Changes in Tensile Strength in 3 Different Flexible Epidural Catheters Under Various Conditions..

*Anesthesia & Analgesia*,*123*(1), 233-237.Dhar, Sunil, & Lahiri, Soumi (2014). Generalized Linear Model under the Extended Negative Multinomial Model and Cancer Incidence.

*Journal of the Indian Statistical Association*,*52*((1)), 16.Bhattacharjee, Manish, & Dhar, Sunil (2014). On Equality in Distribution of Ratios X/(X+Y) and Y/(X+Y).

*Contemporary Developments in Statistical Theory, Springer Proceedings in Mathematics & Statistics, Springer International Publishing*,*68*,Atlas, Glen, & Dhar, Sunil, & Li, John (2014). Pulsatile Aortic Pressure-Flow Analysis using Fractional Calculus for Minimally-invasive Applications.

*Journal of Biomedical Engineering and Biosciences*,*1*(Avestia Publishing, International ASET Inc.), 1-7. SHOW MORE

Lu, Xiaoyu , & Dhar, Sunil (2013). The Application of Bayesian Adaptive Design in Clinical Trials .

Li, Jing, & Dhar, Sunil (2013). Modeling with Bivariate Geometric Distributions.

Atlas, Glen, & Brealey, David , & Dhar, Sunil, & Dikta, Gerhard, & Singer, Meryvn (2012). Additional hemodynamic measurements with an esophageal Doppler monitor: a preliminary report of compliance, force, kinetic energy, and afterload in the clinical setting..

Alvarez, Tara, & Kim, Eun, & Vicci, Vincent, & Dhar, Sunil, & Biswal, Bharat, & Barrett, A. (2012). Comparisons of Concurrent Vision Dysfunctions in Convergence Insufficiency with Traumatic Brain Injury Patients .

Banke, Natasha , & Yan, Lin , & Pound, Kayla , & Dhar, Sunil (2012). Sexual dimorphism in cardiac triacylglyceride dynamics in mice on long term caloric restriction.

Zhao, Xin , & Ho, David, & Abarzúa , Patricio , & Dhar, Sunil (2011). Inhibition of Smooth Muscle Myosin as a Novel Therapeutic Target for Hypertension.

Qiu , Hongyu , & Lizano, Paulo , & Laure, Lydie , & Sui, Xiangzhen, & Rashed, Eman, & Park, Ji , & Hong, Chull , & Gao, Shumin , & Holle, Eric , & Morin, Didier , & Dhar, Sunil (2011). H11 Kinase/Heat Shock Protein 22 Deletion Impairs Both Nuclear and Mitochondrial Functions of STAT3 and Accelerates the Transition Into Heart Failure on Cardiac Overload / Clinical Perspective. 406-415 .

Chen, Li, & Lizano, Paulo, & Zhao, Xin , & Sui, Xiangzhen , & Dhar, Sunil (2011). Preemptive conditioning of the swine heart by H11 kinase / Hsp22 provides cardiac.

Gelpi, Ricardo , & Dhar, Sunil (2011). Apoptosis in Severe, Compensated Pressure Overload Predominates in Non-Myocytes and is Related to the Hypertrophy but not Function.

Atlas, Glen , & Burger , J. , & Dhar, Sunil (2010). Afterload assessment with or without central venous pressure: a preliminary clinical comparison.

Guellich, Aziz , & Gao, Shumin , & Hong, Chull , & Yan, Lin , & Wagner , Thomas , & Dhar, Sunil (2010). Effects of Cardiac Overexpression of Type 6 Adenylyl Cyclase Affects on the Response to Chronic Pressure Overload.

Atlas, Glen, & Dhar, Sunil (2010). Development of a recursive finite difference pharmacokinetic model from an exponential model: application to a propofol infusion.

Wu, Changgong , & Yan, Lin , & Depre, Christophe , & Dhar, Sunil (2009). Cytochrome C oxidase III as a mechanism for apoptosis in heart failure.

Lahiri, Soumi, & Dhar, Sunil (2008). Log-linear Modeling under Generalized Inverse Sampling Scheme.

Hedhli, Nadia , & Lizano, Paulo, & Hong, Chull , & Fritzky, Luke , & Dhar, Sunil (2008). Proteasome inhibition decreases cardiac remodeling after initiation of pressure overload .

Dhar, Sunil (2008). Medical Statistics: A textbook for the Health Sciences, Fourth Edition, by D. Machin, M. J. Campbell, and S. J. Walters.

*American Journal of Mathematics and Statistics*,*3*(2), 67-72.Li, Jing, & Dhar, Sunil (2013). Modeling with Bivariate Geometric Distributions.

*Communications in Statistics - Theory and Methods*,*42*(252–266 ),Atlas, Glen, & Brealey, David , & Dhar, Sunil, & Dikta, Gerhard, & Singer, Meryvn (2012). Additional hemodynamic measurements with an esophageal Doppler monitor: a preliminary report of compliance, force, kinetic energy, and afterload in the clinical setting..

*Journal of Clinical Monitoring and Computing*,*26*(6), 473-482.Alvarez, Tara, & Kim, Eun, & Vicci, Vincent, & Dhar, Sunil, & Biswal, Bharat, & Barrett, A. (2012). Comparisons of Concurrent Vision Dysfunctions in Convergence Insufficiency with Traumatic Brain Injury Patients .

*Optometry and Vision Science*,*89*(12), 1740-1751.Banke, Natasha , & Yan, Lin , & Pound, Kayla , & Dhar, Sunil (2012). Sexual dimorphism in cardiac triacylglyceride dynamics in mice on long term caloric restriction.

*Journal of Molecular and Cellular Cardiology*,*52*(3), 733-740.Zhao, Xin , & Ho, David, & Abarzúa , Patricio , & Dhar, Sunil (2011). Inhibition of Smooth Muscle Myosin as a Novel Therapeutic Target for Hypertension.

*The Journal of Pharmacology and Experimental Therapeutics*,*339*, 307-312.Qiu , Hongyu , & Lizano, Paulo , & Laure, Lydie , & Sui, Xiangzhen, & Rashed, Eman, & Park, Ji , & Hong, Chull , & Gao, Shumin , & Holle, Eric , & Morin, Didier , & Dhar, Sunil (2011). H11 Kinase/Heat Shock Protein 22 Deletion Impairs Both Nuclear and Mitochondrial Functions of STAT3 and Accelerates the Transition Into Heart Failure on Cardiac Overload / Clinical Perspective. 406-415 .

Chen, Li, & Lizano, Paulo, & Zhao, Xin , & Sui, Xiangzhen , & Dhar, Sunil (2011). Preemptive conditioning of the swine heart by H11 kinase / Hsp22 provides cardiac.

*The American Journal of Physiology - Heart Circ Physiol.*,*300*(4), H1303–H1310.Gelpi, Ricardo , & Dhar, Sunil (2011). Apoptosis in Severe, Compensated Pressure Overload Predominates in Non-Myocytes and is Related to the Hypertrophy but not Function.

*The American Journal of Physiology: Heart and circulatory physiology*,*300*(3), H1062-H1068.Atlas, Glen , & Burger , J. , & Dhar, Sunil (2010). Afterload assessment with or without central venous pressure: a preliminary clinical comparison.

*Cardiovascular Engineering*, 246-252.Guellich, Aziz , & Gao, Shumin , & Hong, Chull , & Yan, Lin , & Wagner , Thomas , & Dhar, Sunil (2010). Effects of Cardiac Overexpression of Type 6 Adenylyl Cyclase Affects on the Response to Chronic Pressure Overload.

*The American Journal of Physiology: Heart and circulatory physiology*,*299*, H707-H712 .Atlas, Glen, & Dhar, Sunil (2010). Development of a recursive finite difference pharmacokinetic model from an exponential model: application to a propofol infusion.

*IAENG International Journal of Applied Mathematics*,*40*(1), 7.Wu, Changgong , & Yan, Lin , & Depre, Christophe , & Dhar, Sunil (2009). Cytochrome C oxidase III as a mechanism for apoptosis in heart failure.

*The American Journal of Physiology - Cell Physiology*,*297*(4), C928-34.Lahiri, Soumi, & Dhar, Sunil (2008). Log-linear Modeling under Generalized Inverse Sampling Scheme.

*Communications in Statistics - Theory and Methods*,*37*(8), 1237-1244 .Hedhli, Nadia , & Lizano, Paulo, & Hong, Chull , & Fritzky, Luke , & Dhar, Sunil (2008). Proteasome inhibition decreases cardiac remodeling after initiation of pressure overload .

*American journal of physiology: Heart and circulatory physiology*,*295*, H1385 - H1393.Dhar, Sunil (2008). Medical Statistics: A textbook for the Health Sciences, Fourth Edition, by D. Machin, M. J. Campbell, and S. J. Walters.

*Journal of Biopharmaceutical Statistics*,*18*(5), 1036-1038 .COLLAPSE

Meeting Abstract

A Role for Resistance Exercise in Cancer: Destruction of Circulating Tumor Cells in Contracting Muscle

The FASEB Journal, April (2nd Quarter/Spring) 2018

The FASEB Journal, April (2nd Quarter/Spring) 2018

Conference Proceeding

A preliminary fractional calculus model of the aortic pressure flow relationship during systole

Proceedings of ICBES's 14 International Conference on Biomedical Engineering and Systems, August 2014

Engineering Pharmacology: Pharmacokinetic Models Using Recursive Finite Difference Equations

Proceedings of the International Conference on Medical Pharmacology, February 2010

Proceedings of ICBES's 14 International Conference on Biomedical Engineering and Systems, August 2014

Engineering Pharmacology: Pharmacokinetic Models Using Recursive Finite Difference Equations

Proceedings of the International Conference on Medical Pharmacology, February 2010

Book Review

Book Review: Biostatistical Methods: The Assessment of Relative Risks, Second Edition, by J. M. Lachin, Hoboken: Wiley, 2011, ISBN 978-0-470-50822-0

Journal of Biopharmaceutical Statistics, 2012

Book Review: Medical Statistics at a Glance, Third Edition, by A. Petrie and C. Sabin, Chichester, UK: Wiley-Blackwell, 2009

Journal of Biopharmaceutical Statistics, November 2010

Book Review: Statistics at Square One, Eleventh Edition, by M. J. Campbell and T. D. V. Swinskow, 2009.

Journal of Biopharmaceutical Statistics, May 2010

Statistical Thinking for Non-Statisticians in Drug Regulation, by R. Kay

Journal of Biopharmaceutical Statistics, 2009

Journal of Biopharmaceutical Statistics, 2012

Book Review: Medical Statistics at a Glance, Third Edition, by A. Petrie and C. Sabin, Chichester, UK: Wiley-Blackwell, 2009

Journal of Biopharmaceutical Statistics, November 2010

Book Review: Statistics at Square One, Eleventh Edition, by M. J. Campbell and T. D. V. Swinskow, 2009.

Journal of Biopharmaceutical Statistics, May 2010

Statistical Thinking for Non-Statisticians in Drug Regulation, by R. Kay

Journal of Biopharmaceutical Statistics, 2009

Book

Dhar, Sunil (2011).

Bhattacharjee, Manish, & Dhar, Sunil (2011).

*Recent Advances in Biostatistics: False Discovery, Survival Analysis and Other Topics.*. Singapore: World Scientific PressBhattacharjee, Manish, & Dhar, Sunil (2011).

*Recent Advances in Biostatistics: False Discovery, Survival Analysis and Other Topics.*. World Scientific PressChapter

Atlas, Glen, & Dhar, Sunil (2010). Engineering Pharmacology: Pharmacokinetic Models Using Recursive Finite Difference Equations, . Cambridge University, Cambridge, UK: