Editor Profile

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Dr. Rabindra Nath Das, Ph.D.

Professor

2013 - Present

Burdwan

India

The University of Burdwan

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Dr. Rabindra Nath Das is a Professor in the Department of Statistics, The University of Burdwan, Burdwan (B.U), West Bengal (W.B.), India. He received Ph. D., in Statistics, from B.U. India, and Post-Doc, Research Professor from Seoul National University, Seoul, Korea. He has authored more than 144 research articles, and along with a research Monograph entitled- Robust Response Surfaces, Regression, and Positive Data Analyses, published from CRC Press, Taylor & Francis, Chapman & Hall. He has received ‘Gopal Kanji Prize 2009’ by The Journal of Applied Statistics for the best article published in 36(7), Shiksharatna Award 2021 by the Govt. of W.B., and he has been selected as Ajou Global Fellow (AGF) by Euiho Suh, Ph.D. VP & Chair, UEMC, AJOU University, South Korea. He is acting as Editor-In-Chief, Editor, Associate Editor, EBMs of more than 135 Journals.

  • Response Surface Design of Experiments (Rotatability & Slope-rotatability)
  • Block Design of Experiments
  • Regression Analysis
  • Demography
  • Quality Engineering
  • Generalized Linear Models (GLMs) and joint GLMs) and Applied Statistics
  • Quality & Reliability Improvement Experiments
  • Civil Engineering
  • Environmental Science
  • Genetics
  • Hydrogeology
  • Bio-statistics
  • Medical Sciences
  • History
  • Psychology
  • Epidemiology on Thyroid Disease Liver Disease, Diabetes, Carcinoma, Cardiovascular Disease, etc.)
  • Das M and Das RN (2024). Serum Sodium Associations with Anaemia Patients. Journal of Clinical and Medical Engineering Live, 2(2): 1-3.
  • Das M and Das RN (2024). Functional Relationship of Serum Sodium with Heart Patients. Internal Medicine Open Journal, 7(1), e1-e3. doi: 10.17140/IMOJ-7-e003.
  • Banik S, Das M, Saha I, Gong R, Singh P, Kim J, and Das RN (2023). Prostate cancer and cardiovascular disease: Correlated? Onkologia I Radioterapia, 17(2): 55-61. (Scopus). Link{ https://www.oncologyradiotherapy.com/articles/prostate-cancer-and-cardiovascular-disease-correlated.pdf
  • Banik S, Das M, Medda SK, and Das RN (2023). Relationship of mean arterial pressure with other cardiac and biological factors. Clinical Practice (Therapy), 20(3):5-11; (ISSN: 2044-9046) ( Scopus (early), Publons).
  • Das M, Banik S, Mandal P, Gong R, Chakrabarty D, Medda SK and Das RN (2023). Pregnancy and Diabetes Disease History: Correlated? Journal of Diabetes and Metabolism, 14(10); 1-5.
  • Das M and Das RN (2023). Mean-Variance Serum Sodium Associations With Diabetes Patients. International Journal of Diabetes Management, 2(2):38-40.
  • Das M, Medda SK, Banik S, and Das RN (2023). Role of serum sodium on heart, ane-mia, and diabetes patients. Academia Medicine 2023;1: 1-9. https://doi.org/10.20935/AcadMed6167.
  • Das M, Saha I, Sinha P, Medda SK, Das RN. (2022). Glucose and insulin levels linkages with breast cancer factors. Glob J Obes Diabetes Metab Syndr 9(1): 020-025. DOI: https://dx.doi.org/10.17352/2455-8583.000057.
  • Saha I and Das RN (2022). The Role of Diastolic Blood Pressure on Myocardial Heart Patients. Int J. Hert& Vasclr Syst. 2022;2(1):13. DOI: 10.51626/ijhvs.2022.02.00006.
  • Das M. and Das RN (2022). Explanatory factors of gestational diabetes pedigree function of pima Indian heritage women. Intern Med Open J. 2022; 6(1): e1-e2. Doi: 10.17140/IMOJ-6-e002.
  • Kim J, Das M, Saha I, Sinha P, Singh P and Das RN (2022). Inter-relationship between homeostasis model assessment of insulin resistance and breast cancer biomarkers. Onkologia I Radioterapia, 16 (4):34-38.
  • Kim J, Das M, Saha I, Bhattacharyya G, Mukherjee S, Sahoo RK, Kottapalli R, Devi RS, Medda SK, Das RN. (2022). Role of Serum Prostatic Acid Phosphatase on Prostate Cancer Patients. Onkologia I Radioterapia, 16(10): 001-005.
  • Das M, Gong R, Sahoo RK, Devi RS, Banik S, Das RN (2022). Diastolic Blood Pressure Determinants for Prostate Cancer Patients. Austin Journal of Clinical Cardiology, 2022; 8(3): 1099 (01-04).
  • Das M, Gong R, Banik S, Das RN (2022). Systolic Blood Pressure Explanatory Factors for Prostate Cancer Patients. Cancer Therapy & Oncology International Journal, 2022; 22(5):01-05.
  • Das M, Bhattacharyya G, Gong R, Misra R, Medda SK, Banik S, Das RN (2022). Determinants of Gestational Diabetes Pedigree Function for Pima Indian Females. Internal Medicine Open Journal, 6(1): 913. J. 2022; 6(1): 9-13. doi: 10.17140/IMOJ-6-121.
  • Karmakar S, Saha I, Sahoo RK, Medda SK, Kottapalli R and Das RN (2021). The glucose level linkages with breast cancer markers. J.Cancer Research and Cellular Therapeutics. 5(2): 1-4.
  • Karmakar S, Saha I, Sahoo RK, Medda SK, Kottapalli R and Das RN (2021). The E_ects of Glucose on Gestational Diabetes Women. Clin J Dia Care Control 2021, 4(1):1-5;180039.
  • Saha I, Sanatombi Devi R and Das RN. (2021) The Impacts of Body Mass Index on Gestational Diabetes Pima Indian Heritage Women. Int J Diabetes Metab Disord 6(2): 143-146.
  • Karmakar S, Saha I, Sahoo RK, Medda SK, Bhattacharjee S and Das RN (2021). E_ects of Body Mass Index on Gestational Diabetes Women. Clin J Dia Care Control 2021, 4(1):1-4;180041.
  • Kim J, Bhattacharyya G, Mukherjee S, Das RN (2021). Robust second-order rotatable invariably designs for some lifetime distributions. Communications in Statistics - Theory and Methods, DOI: 10.1080/03610926.2021.1961001.
  • Das RN and Mukherjee S (2021). ROBUST REGRESSION ANALYSIS UNDER A SPECIAL COMPOUND SYMMETRY STRUCTURE. Journal of Econometrics and Statistics, 2021, 1(1): 1-16.
  • Saha I and Das RN (2021). Role of HOMA-IR on Breast Cancer Women. Cancer Ther Oncol Int J, 2021; 19(5): ): 556021. DOI: 10.19080/CTOIJ.2021.19.556021.
  • Saha I, Konai D, Medda SK and and Das RN (2021). E_ects of Insulin on Gestational Pima Indian Heritage Females. Endocrinology and Disorders. 5(6): DOI:10.31579/2640-1045/092.
  • Das M, Das RN (2021). The Impact of the Clinical History of Diseases on Cardiovascular Risk Factors. Madridge J Intern Emerg Med. 2021; 5(1): 159-161. doi:10.18689/mjiem-1000136.
  • Saha I, Das RN (2021). Role of Insulin Level on Pregnant American (Pima) Indians. J Diabetes Metab. 12:902. doi: 10.35248/2252- 5211.21.12.902.
  • Kim J, Das RN, Singh P, Lee Y (2021). Robust second-order rotatable designs invariably applicable for some lifetime distributions. Communications for Statistical Ap-plications and Methods, 28(6), 463-479.
  • Kim J, Bhattacharyya G, Das RN. (2021). Robust _rst-order effcient designs invariably applicable for many lifetime distributions. Journal of Econometrics and Statistics, 2021, 1(2), (To be appeared).
  • Chakrabarty D,Das RN, Bhattaryya G (2021). Associations of Isotopes C13, N15, S34 on the Mercury Levels of Di_erent Marine Fin_sh and Invertebrate Species. Environment and Ecology 39 (4) : 723-728.
  • Saha I, Das RN (2020). Role of Glucose on Breast Cancer Patients. Canc Therapy & Oncol Int J. 2020; 17(4): 555967.
  • Saha I, Das RN (2020). The Functional Activities of Glucose on Pima Indian Heritage Gestational Diabetes Women. EC Endocrinology and Metabolic Research 5(12) (2020): 12-15.
  • Saha I, Das RN (2020). Role of Body Mass Index on Insulin and Glucose for Breast Cancer Women. EC Endocrinology and Metabolic Research 5(8) (2020): 01-05.
  • Saha I, Singh P, Medda SK, Das, RN (2020).Associations between Body Mass Index and Breast Cancer Markers. Journal of Oncology Research, 2(1):1-7.
  • Kim J, Das RN., Lee Y, Mukherjee S. (2020). Inuencing factors of FEV1 and FVC for primary lung cancer patients. Oncology and Radiotherapy 1 (50) 2020; 038-43 (14(1)) (Scopus).
  • Das RN, Singh P, Medda SK. (2020). Role of Blood Pressure on Heart Patients. EC Cardiology 7(3) (2020): 01-06.
  • Das RN, Lee Y. (2019). E_ects of Systolic Blood Pressure on Myocardial Infarction Patients. ARC Journal of Cardiology 2019; 5(2): 10-13. DOI: http://dx.doi.org/10.20431/2455-5991.0502002.
  • Kim J, Das RN, Lee Y. Mukherjee S, Ann H, Medda SK (2019). Interelationships of Cholesterol With Cardiac Factors for Heart Patients. J Cardiovasc Disease Res., 2019;10(4):103-106. (Scopus) DOI: 10.5530/jcdr.2019.4.24.
  • Das RN, Lee Y. (2019). Maximum heart rate inuencing factors for cardiac patients. Austin Cardiology 2019; 4(1): 1021.
  • Das RN, Lee Y. (2019). Role of Insulin on Breast Cancer Patients. Austin J Endocrinol Diabetes. 2019; 6(2): 1069.
  • Das RN, Lee Y. Mukherjee S, Kim J (2019). Relationship of Alanine Aminotransferase (SGPT) with other Liver Biomarkers. Journal of Gastroenterology, Pancreatology & Liver Disorders 2019; 7(1):1-5; DOI: 10.15226/2374-815X/7/1/001142.
  • Das RN, Lee Y. (2019). The Role of Red Cell Index on Cardiac Factors for Shock Patients. Austin Hematology 2019; 4(1):1024.
  • Kim J, Das RN, Lee Y. (2019). Inter-relationship between diabetes and breast cancer biomarkers. Oncology and Radiotherapy 1 (46) 2019; 13(3): 082-089 (Scopus).
  • Das RN, Lee Y, Rajkumari SD, Sahoo RK, Konai D. (2019). Inuencing Factors for Maximum Heart Rate Achieved for Cardiac Patients. EC Cardiology ECO.02 (2019): 22-26.
  • Kim J, Das RN, Lee Y, Sahoo RK. Association of monocyte chemoattractant protein-1 with age, glucose, BMI, insulin and other breast cancer biomarkers. Oncology and Radiotherapy 1 (46) 2019; 13(1): 005-009 (Scopus).
  • Das RN, Lee Y (2019). Relationship of leptin with glucose, BMI, age, insulin and breast cancer biomarkers. Arch Gen Intern Med. 2019;3(1):01-03. DOI: 10.4066/2591-7951.1000e010.
  • Das RN, Lee Y. (2019). Association of resistin with BMI, age diabetes and breast cancer biomarkers. Journal of Oncology Research and Treatment 4 (1): 135.
  • Das RN, Lee Y (2019). Inuencing Factors of Forced Expiratory Volume for Lung Cancer Patients. Lung, Pulmonary & Respiratory Research Journal. 2019; 2(1):116.
  • Kim J, Das RN, Lee Y (2019). Cardiac Index Predicted Factors for Shock Patients. World Scienti_c News 119; 181-191.
  • Das RN, Lee Y (2019) E_ects of Hematocrit on Cardiac Parameters for Shock Patients. Clin Med Rev Case Rep 6(1;) 5:252. doi.org/10.23937/2378-3656/1410252.
  • Das RN, Lee Y, Sengupta S, Sahoo RK, Mukherjee S (2019). Complex Association of Albumin with Other Liver Biomarkers. EC Gastroenterology and Digestive System 6(2), pp. 132-137.
  • Das RN, Lee Y, Grover G, Bhattacharyya G (2019). The role of body surface index on cardiac parameters. The Cardiologist 3(1), pp. 26-33.
  • Das RN, Lee Y, Mukherjee S, Oh S (2019). Relationship of body mass index with diabetes & breast cancer biomarkers. J Diabetes and Management. 9(1), 163-168.
  • Das RN, Lee Y (2018). Association of Serum Adiponectin with Age, BMI and Other Breast Cancer Biomarkers. J Blood Lymph 8(4): 233. doi: 10.4172/2165-7831.1000233.
  • Das RN, Lee Y, Oh S. (2018) The Determinants Of Mean Central Venous Pressure For Shock Patients. J. Clin Trial Cardiol 5(2): 1-5.
  • Das RN, Lee Y (2018). Impact of Hemoglobin on Cardiac Parameters for Shock Patients. EC Cardiology 5(12):858-862.
  • Das RN, Lee Y (2018). The Functional Role of Blood Elements on Cardiac Factors. Heart Sci Heart Surg J 2018, 1(1): 180004.
  • Das RN, Lee Y (2018). Role of blood biochemical components on cardiac parameters for shock patients. Arch Gen Intern Med.2018;2(4):27-29. DOI: 10.4066/ 2591-7951.1000e101.
  • Das, R.N. and Lee Y (2018). The Explanatory Factors of Forced Vital Capacity of Primary Lung Cancer Patients Who Underwent Lung Resections. J Biomol Res Ther 7(2): e161. doi:10.4172/2167-7956.1000e161.
  • Das, R.N. and Lee Y (2018). Relationship of Urinary Output with Cardiac & Biochemical Parameters of Shock Patients. J Biomol Res Ther 7(2): e162. doi:10.4172/2167-7956.1000e162.
  • Das, R.N., Lee Y and Bhattacharyya G. (2018). E_ects of Plasma Volume and Red Cell Index on Cardiac Parameters for Shock Patients. J Blood Lymph 8(3): 228. doi: 10.4172/2165-7831.1000228.
  • Sharma A, Ravi V, Grover G, Das RN, Varshney MK (2018). A Correlation Technique to Reduce the Number of Predictors to Estimate the Survival Time of HIV/AIDS Patients on ART. International Journal of Statistics in Medical Research 2018;7(4): 129-136.
  • Das, R.N. and Medda, S.K. (2018). The Role of Some Food Habits on Cancer. EC Nutrition 13(9):1-3.
  • Das, R.N. (2018). Determinants of total bilirubin for liver patients, J Liver Res Disord Ther, 4(3):130{134. DOI: 10.15406/jlrdt.2018.04.00115.
  • Das, R.N. (2018). The Associated Factors of Direct Bilirubin for Liver Patients. Curr Trends Biomedical Eng & Biosci, 15(3):1{4; 555913. DOI: 10.19080/CT-BEB.2018.15.555913.
  • Das, R.N. (2018). The Total Bilirubin Explanatory Factors of Liver Patients, J. of Biomolecular Research & Therapeutics, 7(2), DOI: 10.4172/2167-7956.1000e160.
  • Das, R.N. (2018). The Role of Dobutamine Dose on the Cardiac Parameters, Cardiovascular Pharmacology: Open Access, 7(2): DOI: 10.4172/2329-6607.1000238.
  • Das, R.N., Mukherjee, S., and Sharma, I. (2018). Alkaline Phosphatase Determinants of Liver Patients, JOP. J Pancreas (Online), Jan 29; 19(1):1-6.
  • Ibraimov A, Kar SK, Das R (2017) Current Trends in Heart and Cardiovascular Research. J Heart Cardiovasc Res. Vol. 1 No. 1: e102.
  • Das, R.N. (2017). Systolic & Diastolic Blood Pressure Determinants of Shock Patients, J Heart Cardiol, 3(2): 46- 52. DOI: 10.15436/2378-6914.17.1740.
  • Das, R.N. (2017). The role of history of disease factors in the congenital heart disease in adults, Interventional Cardiology: Open Access, 9(6): 263-266 (Commentary).
  • Das, R.N. (2017). Cardiac Disease and Diabetes Mellitus: Correlated? Journal of General Practice (Los Angel), 5(5):327. doi:10.4172/2329-9126.1000327.
  • Das, R.N. (2017). The mean arterial blood pressure determinants, EC Cardiology, 4(1):14-16. (Commentary).
  • Das, R.N. (2017). Shock patients heart rate variability factors, Journal of Cardiovascular Medicine and Therapeutics, 1(2):19-23.
  • Das, R.N. (2017). The Central Venous Pressure Causality Factors, Journal of General Practice (Los Angel), 5(3):e116. DOI: 10.4172/2329-9126.1000e116 (Editorial).
  • Das, R.N. (2017). Cardiac Index Determinants, EC Cardiology, 3(4):112-114. (Editorial).
  • Das, R.N. (2017). Systolic Blood Pressure Determinants, Annals of Clinical Hypertension, 1: 032-038.
  • Das, R.N., Lee, Y. and Mukhopadhyay, B.B. (2017). The basal, peak and maximum heart rate determinants of the cardiac patients who underwent dobutamine stress echocardiography, Mathews Journal of Cardiology, 2(2):013.
  • Das, R.N. (2017). Forced expiratory volume factors of stage III non-small cell lung cancer patients, Arch Gen Intern Med, 1(3):3-7.
  • Das, R.N. (2017). Determinants of Cardiac Ejection Fraction for the Patients with Dobutamine Stress Echocardiography, Epidemiology (Sunnyvale), 7(3):307. DOI: 10.4172/2161-1165.1000307.
  • Das, R.N. (2017). Mean Heart Rate Factors of Shock Patients, Journal of Heart and Cardiovascular Research, 1(2):1-3 (Editorial).
  • Das, R.N., Kim, J. and Mukherjee, S. (2017). Correlated log-normal composite error models for di_erent scienti_c domains, Model Assisted Statistics and Applications, 12(1):39-53. DOI 10.3233/MAS-160382.
  • Das, R.N. (2017). Association between cholesterol and cardiac parameters, J Cholest Heart Dis, 1(1):3-7.
  • Das, R.N. (2017). Association between diabetes markers and cholesterol, Diabetes Management, 7(2):247-249. (Editorial).
  • Das, R.N. and Mukherjee, S. (2017). Mean-variance overall survival time attend models from stage III non-small cell lung cancer, Epidemiology (Sunnyvale), 7(1):296. DOI: 10.4172/2161-1165.1000296.
  • Das, R.N. (2017). The mean heart rate associations of the DSE data, Interventional cardiology Journal, 3(1):1-3. DOI: 10.21767/2471-8157.100041 (Editorial).
  • Das, R.N. and Late Mukhopadhyay, A.C. (2017). Correlated random effects regression analysis for a log-normally distributed variable, Journal of Applied Statistics, 44(5):897{915 http://dx.doi.org/10.1080/02664763.2016.1189518.
  • Das, R.N. (2017). High-performance concrete compressive strength's meanvariance, Journal of Materials in Civil Engineering, 29(5): 05016003 : DOI: 10.1061/ (ASCE)MT.1943-5533.0001795.
  • Das, R.N.(2016). Diabetes and obesity determinants based on blood serum, Endocrinology & Diabetes Research, 2(2):1-6.
  • Das, R.N.(2016). Diabetes disease progression determinants, BAOJ Diabetes, 2(2):015.
  • Das, R.N.(2016). Determinants of acute myocardial infarction of Worcester heart attack study, Journal of Heart and Cardiology, 2(4): 1{7. DOI: 10.15436/2378-6914.16.1165.
  • Das, R.N., Mukherjee S., and Panda, R.N.(2016). Association between body mass index and cardiac parameters of Worcester heart attack study, BAOJ Cellular & Molecular Cardiology, 2(1):006.
  • Das, R.N. (2016). Hypertension Risk Factors of Shock Patients, Health Care: Current Reviews, 4(4):177 doi: 10.4172/2375-4273.1000177.
  • Das, R.N. (2016). Dobutamine Dose: What are its E_ects? Interventional Cardiology Journal, 2(3):1{3; DOI: 10.21767/2471-8157.100031.
  • Das, R.N. (2016). Diabetes Risk Factors for Chronic Kidney Patients, Journal Diabetes and Obesity, 3(3): 1{3; DOI: 10.15436/2376-0494.16.1055; SCI.
  • Das, R.N. (2016). Cardiac Risk Factors for Patients under DSE, General Medicine: Open access (Los Angeles), 4(5):1{2; doi: 10.4172/2327-5146.1000270.
  • Das, R.N. (2016). Blood Pressure for Di_erent Types of Patients, Interv Cardiol J, 2(2):e29; 1{3, DOI: 10.21767/2471-8157.100029.
  • Das, R.N. (2016). Hypertension risk factors who underwent Dobutamine stress echocardiography, Interventional Cardiology: Open Access 8(1), 595-605; 10.2217/ica.15.47. 2016 (SCI).
  • Das, R.N. (2016). Diabetes Mellitus & Cardiovascular Disease: Co-Existence? BAOJ Diabetes, 2(1):010; 1-3.
  • Panda, R.N. and Das, R.N. (2016). Reduction of cost of experimentation using sequential rotatable designs, ProbStat Forum, Vol. 09, pp. 44-49.
  • Das, R.N.(2016). Relationship Between Diabetes Mellitus and Coronary Heart Disease, Current Diabetes Reviews, Vol. 12, No. 3, pp. 1-12; 1573-3998/16.
  • Mondal, S.K., Kundu, S., Das, R.N., Roy, S. (2015). Analysis of phylogeny and codon usage bias and relationship of GC content, amino acid composition with expression of the structural nif genes, Journal of Biomolecular Structure and Dynamics, DOI: 10.1080/07391102.2015.1087334 (SCI).
  • Late Mukhopadhyay, A.C. and Das, R.N. (2015). Inference on log-linear regression model parameters with composite autocorrelated errors, Model Assisted Statistics and Applications, Vol. 10, No. 3, pp. 231{242 (SCOPUS).
  • Mondal, S.K., Das, R.N., Kundu, S., Kim, J., Grover, G., and Ansari, S.A. (2015). Mean Variance Relationships of Genome Size and GC Content", Annual Research & Review in Biology, Vol. 7(4), pp. 206{221 (Article No. ARRB.2015.123).
  • Das, R.N., Shit, A. and Ghosh, A.R. (2015). \Carp Seed Production Factors in India", Journal of Environments, Vo. 2, No. 1, pp. 10-17 (http://www.asianonlinejournals.com/index.php/JOEN).
  • Das, R.N., Kim, J. and Lee, Y. (2015). \Robust _rst-order rotatable lifetime improvement experimental designs", Journal of Applied Statistics, Vol. 42 (9), pp. 1911-1930; DOI: 10.1080/02664763.2015.1014888 (SCIE).
  • Das, R.N., Kim, J. and Park., J.S. (2015). \Robust D-Optimal Designs Under Correlated Error Applicable Invariantly for Some Lifetime Distributions", Reliability Engineering & System Safety136, pp. 92{100(SCI).
  • Das, R.N., Pal, P. and Park, S.H. (2015). \Modi_ed robust second order sloperotatable designs", Communications in Statistics & Methods, Vol. 44, No. 1, pp. 80-94, DOI: 10.1080/03610926.2012.732183 (SCIE).
  • Das, R.N. (2014a). Determinants of Diabetes Mellitus in the Pima Indian Mothers and Indian Medical Students, The Open Diabetes Journal, Vol. 7, pp. 5-13 (Open Access) (SCOPUS).
  • Das, R.N. and Park, J.S. (2014). A reinforced randomized block design with correlated errors, Communications in Statistics & Methods, Vol. 43, No. 1 pp. 191-209; DOI: 10.1080/03610926.2011.650272 (SCIE).
  • Das, R.N., Devi, R.S. and Kim, J. (2014). Mothers' lifestyle characteristics impact on her neonates' low birth weight, Women Health and Reproductive Sciences, Vol. 2, No.4, pp. 229-235.
  • Das, R.N. (2014b). On estimating the optimal process parameters in quality engineering using generalized linear models approach, Model Assisted Statistics and Appli-cations, Vol. 9, No. 3, pp.201-211(Special Issue), DOI 10.3233/MAS-140293 (SCOPUS).
  • Grover, G., Das, R.N., Swain, P.K. and Deka, B. (2013). On the Estimation of Survival of HIV/AIDS Patients on Antiretroviral Therapy Using NPMLE Method: An Application to Interval Censored Data, American Journal of Mathematics and Statistics, Vol. 3 No. 4, pp. 213-219 DOI: 10.5923/j.ajms.20130304.05.
  • Das, R.N. (2013). Relationships of liver biochemical parameters and effects of wine drinking, Model Assisted Statistics and Applications, Vol. 8, No. 2, pp. 163-175; DOI 10.3233/MAS-130258 (SCOPUS).
  • Das, R.N. and Dihidar, S. (2013). Determinants of causal factors on child mortality, Journal of the Indian Statistical Association, Vol. 51(2), pp. 381-397.
  • Das, R.N. (2013). Discrepancy in classical lifetime model classes: Some illustrations, Journal of Quality, Vol 20(5), pp. 521-533. (SCOPUS).
  • Das, R.N. and Sarkar, P.K. (2012). Lifestyle Characteristics and Dietary impact on Plasma Concentrations of beta-carotene and Retinol, BioDiscovery, September, 2012, Issue 3, 3, pp. 1-12; DOI: 10.7750/BioDiscovery,2012.3.3.
  • Das, R.N. (2012). Discrepancy in _tting between log-normal and gamma models: An illustration, Model Assisted Statistics and Applications, Vol 7, No. 1, pp. 23-32; DOI: 10.3233/MAS-2011-0198; (SCOPUS).
  • Das, R.N. and Kim, J. (2012). GLM and joint GML techniques in hydrogeology: An illustration, International Journal of Hydrology Science and Technology, Vol. 2, No. 2, pp. 185-201.
  • Das, R.N. and Park, J.S. (2012). Discrepancy in regression estimates between Log-normal and Gamma: Some case studies, Journal of Applied Statistics, Vol. 39, No. 1, pp. 97-111 (SCIE); DOI: 10.1080/02664763.2011.578618.
  • Das, R.N. and Lin, D.K.J. (2011). On D-optimal robust _rst order designs for lifetime improvement experiments, Journal of Statistical Planning and Inference, Vol. 141, No. 12, pp. 3753-3759; (SCIE); DOI: 10.1016/j. jspi. 2011.06. 011.
  • Das, R.N. and Huda, S. (2011). On D-optimal robust designs for exponential lifetime distribution, Journal of Statistical Theory and Applications, (Special Issue), Vol. 10, No. 2., pp. 198-208.
  • Das, R.N., Dihidar, S. and Verdugo, R. (2011). Infant mortality in India: Evaluating Log-Gaussian and Gamma, Open Demography Journal, Vol. 4, pp. 34-41. DOI: 10.2174/ 1874918601104010034.
  • Das, R.N. (2011d). Dual response surface methodology: Applicable always?, ProbStat Forum, Vol. 4, pp. 98-103.
  • Das, R.N. (2011c). Modeling of Biochemical Parameters, Model Assisted Statistics and Applications, Vol. 6, No. 1, pp. 1-12 DOI:10.3233/MAS-2009-0148 (SCOPUS).
  • Das, R.N. (2011b). Resistivity Distribution: Gamma or Else Other?, Journal of Quality, Vol. 18, No. 1, pp. 49-60. (EI Compendex and SCOPUS).
  • Das, R.N. (2011a). The Role of Iodine in the Thyroid Status of Mothers and Their Neonates, Thyroid Science, Vol. 6, No. 2, pp. 1-15. (Certificate of Appreciation for Outstanding Research of this paper by Editor-In-Chief, is given in the Journal Website).
  • Das, R.N. and Lee, Y. (2010). Analysis strategies for multiple responses in quality improvement experiments, International Journal of Quality Engineering and Technology, Vol. 1, No. 4, pp. 395-409.
  • Das, R.N. (2010). Regression Analysis for Correlated Data, Journal of Quality Technology and Quality Management, Vol. 7, No. 3, pp. 263-277.
  • Das, R.N., Park, S.H., and Aggarwal, M. L. (2010b). Robust Second Order Sloperotatable Designs With Maximum Directional Variance, Communications in Statistics & Methods, Vol. 39, No. 5, pp. 803-814; DOI: 10.1080/03610920902796064 (SCIE).
  • Das, R.N, Park, S.H., and Aggarwal, M. L. (2010a). On D-optimal robust second order slope-rotatable designs, Journal of Statistical Planning and Inference, 140 (5), pp. 1269-1279; DOI: 10.1016/j.jspi.2009.11.012 (SCIE).
  • Das, R.N. and Park, S.H. (2010). On D-optimal robust _rst order designs, Journal of Statistical Theory and Applications, Vol. 9, No. 2, pp. 217-232.
  • Park, S.H., Jung S.H. and Das, R.N. (2009). Slope-rotatability of Second Order Response Surface Regression Models with correlated error, Journal of Quality Technology and Quality Management, Vol. 6, No. 4, pp. 471-493.
  • Das, R.N. and Mukhopadhya, B.B. (2009). A_ects of thyroid function and maternal urinary iodine on neonatal weights, Journal of Neonatal Nursing, Vol. 15, pp. 204-211; DOI: 10.1016/j.jnn.2009.07.012 (SCOPUS).
  • Kim, J., Das, R.N., Sengupta, A., and Paul, J. (2009). Regression Analysis for Correlated Data under Compound Symmetry Structure, Journal of Statistical Theory and Applications, Vol. 8, No. 3, pp. 269-282.
  • Das, R.N. and Park, S.H. (2009). A Measure of Robust Slope Rotatability for Second Order Response Surface Designs, Journal of Applied Statistics, Vol. 36, No. 7, pp. 755-767. DOI: 10.1080/02664760802499345 (SCIE) (`Gopal Kanji Prize 2009' by The Journal of Applied Statistics and Routledge publications for our article published in volume 36(7), pp. 755-767 of the journal, entitled- `A measure of robust slope-rotatability for second-order response surface experimental designs').
  • Das, R.N. (2009). Response Surface Methodology in Improving Mean Life Time, ProbStat Forum, Vol. 2, pp. 8-20. http://www.probstat.org.in.
  • Das, R.N. and Lee, Y.J. (2009). Log-normal versus gamma models for analyzing data from quality-improvement experiments, Quality Engineering, Vol. 21, No. 1, pp. 79-87. DOI: 10.1080/08982110802317372 (SCOPUS).
  • Das, R.N. and Park, S.H. (2008c). On exact D-optimal robust designs with tridiagonal errors, Journal of Advances and Applications in Statistics, Vol. 9(1), pp. 37-51; (http://www.pphmj.com).
  • Das, R.N. and Park, S.H. (2008b). On e_cient robust rotatable designs with autocorrelated errors, Journal of the Korean Statistical Society, 37(2), pp. 97-106. www.elsevier. com/locate/jkss. DOI:10.1016/j.jkss.2007.08.003 (SCIE).
  • Das, R.N. and Park, S.H. (2008a). Analysis and Multiple Comparison of Treatments of an Extended Randomized Block Design with Correlated Errors, Journal of Statistical Theory and Applications, Vol. 7(3), pp. 245-262.
  • Das, R.N. and Lee, Y.J. (2008). Improving resistivity of urea formaldehyde resin through joint modeling of mean and dispersion, Journal of Quality Engineering, Vol. 20(3), pp. 287-295. DOI: 10.1080/08982110701866180 (SCOPUS).
  • Das, R.N. Park, S.H. (2007). A Measure of Robust Rotatability for Second Order Response Surface Designs, Journal of the Korean Statistical Society, 36(4), pp. 557{578, (SCIE).
  • Das, R.N. and Park, S.H. (2006). Slope-rotatability over all directions with correlated errors, Appl. Stochastic Models Bus. Ind., 22, pp. 445-457; (www.interscience.wiley.com).DOI: 10.1002/asmb.655 (SCIE).
  • Das, R.N. (2004) . Construction and Analysis of Robust Second Order Rotatable Designs, Journal of Statistical Theory and Application, 3(1), pp. 325-343.
  • Das, R.N. (2003a). Slope Rotatability With Correlated Errors, Cal. Statist. Assoc. Bull., Vol. 54, pp. 57-71.
  • Das, R.N. (2003b). Robust Second Order Rotatable Designs: Part-III (RSORD), Journal of the Indian Society of Agricultural Statistics, 56(2), pp. 117-130.
  • Mukhopadhyay, A.C., Bagchi, S.B. and Das, R.N. (2002). Improvement of Quality of a System Using Regression Designs, Cal. Statist. Assoc. Bull., Vol. 53, pp. 225-233.
  • Das, R.N. (1999). Robust Second Order Rotatable Designs: Part-II (RSORD), Cal. Statist. Assoc. Bull., 49, pp. 65-78.
  • Das, R.N. (1997). Robust Second Order Rotatable Designs: Part-I (RSORD), Cal. Statist. Assoc. Bull., 47, pp. 199-214.
  • Panda, R.N. and Das, R.N. (1994). First Order Rotatable Designs With Correlated Errors (FORDWCE), Cal. Statist. Assoc. Bull., 44, pp. 83-101.
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