Manoj Raut

I have a doctorate in Population Studies and Masters in Population Studies from the International Institute for Population Sciences, with a specialization in Biostatistics and an MPhil and a Master of Arts in Psychology. I am a trained health, nutrition and gender researcher, demographer and biostatistician with more than two and half decades of relevant experience of working at the national and regional levels in program management, monitoring, research, and evaluation, with a unique combination of analytical, management and leadership skills. I have demonstrated expertise in managing a large scale safe motherhood and child survival project, mobilizing funds, advising designing, executing monitoring, research and evaluation studies and surveys, advanced data analyses using different statistical softwares, estimating and projecting costs, preparing and managing budgets, advocating for funds and managing a large scale safe motherhood and child survival project by strengthening the health system to reduce infant and maternal mortality by addressing the three delays of maternal mortality.

I have the familiarity of working in ten countries of Afghanistan, Bangladesh, India, Indonesia, Kenya, Malawi, Nepal, Pakistan, Philippines and Senegal in Asia and Africa regions in research and evaluations with an understanding of Sustainable Development Goals (SDGs), Human Development Index and other social sector statistics. My specialization lies in survey and research designs, sample size estimations, large scale survey data analysis, methods of population projections, use of demographic techniques, and estimation of denominators for computation of various indicators. I have led and provided oversight and guidance to all aspects of Research and Evaluation; right from the design of the research and evaluation studies, protocol development, tool development, quality assurance of data collection, and finalization of analysis plan to reviewing the reports in the Asia and Africa region. I have designed and contributed to 100+ implementation research, large scale surveys and impact evaluation studies in these countries in the last two and half decades. I have experience of handling advanced statistical data analysis of multi-country census, Global DHS data and other large-scale data sets and publishing 28+ papers based on data analyses of LMIC countries in Asia, Africa and Latin America & the Caribbean regions in scientific peer reviewed journals.

I am also certified in Project management for development professionals - level 1 (PMD Pro level 1), APMG International. I am also trained at the Cornell University, Ithaca, New York, USA on 6th annual WHO/ Cochrane/ Cornell University Summer Institute on Systematic Reviews on Nutrition in Global Policy Making and the Oxford University, Health Economics Research Centre, on Applied Methods of Cost Effectiveness Analysis and a certification from the Massachusetts Institute of Technology (MIT) on Data Science and Machine Learning: Making Data-driven Decisions, Social media, sentiment, data science, text Analyses using R from the London School of Economics and Political Science, and completed a Professional Certificate Program in Advanced Generative AI, Machine learning, Deep Learning Specialization using Neural Networks from IHUB DivyaSampark, A joint initiative of the Government of India Department of Science & Technology (DST) and Indian Institute of Technology (IIT Roorkee, India). I am the course instructor for the Harvard T.H. Chan School of Public Health and Nutrition International course module on Research in Humanitarian Emergencies including Implementation Research as part of the Advanced Topics in Global Health (ATGH) Course.

• Full member of The Nutrition Society, UK.
• Member of Asian Population Association (APA).
• Technical advisory group member to provide guidance to Anaemia reduction project in India.

• Developed the State Strategic and Statistical Plan and budget and expenditure plans and raised USD 11.2 million from the World Bank for the implementation of the India Statistical Strengthening Project (ISSP) and Grant from Thirteenth Finance Commission (TFC) for statistical improvement at the State and District level project in Rajasthan in consultation with various stakeholders.
• Design, implementation and management of the Safe Motherhood & Child Survival Project for 1.995 million population covering 1,548 villages in 12 blocks in a state in India.
• Designed and conducted two large scale household surveys for the implementation of a Safe Motherhood & Child Survival Project covering more than two hundred thousand households covering more than 1.2 million population in India.
• Gold Medallist in Master of Arts in Psychology, Centre of Advanced Study in Psychology, Utkal University.
• University Topper in M.Phil in Psychology, Centre of Advanced Study in Psychology, Utkal University.
• Government of India Fellowship for MPS Programme at International Institute for Population Sciences.
• Cross Functional Team Award, Nutrition International, Ottawa, Canada.

• Linear Regression with one and several variables.
• Linear Regression for prediction.
• Linear Regression for causal inference.
• Logistic and other types of Non-linear Regression.
• Regression Techniques: Linear: Simple and Multiple, Logistic, binary and multinomial, Log Binomial Regression, Quantile regression.
• Predictions with high-dimensional data; avoiding overfitting by validation and cross-validation.
• Regularization by Lasso, Ridge, and their modifications.
• Regression Trees, Random Forest, Boosted Trees.
• Binary Classification: False Positive/Negative, Precision / Recall, F1-Score.
• Logistic and Probit Regression: Statistical Binary Classification.
• Hypothesis Testing: Ratio Test and Neyman-Pearson p-values: Confidence.
• Support Vector Machine: Non-statistical Classifier.
• Perceptron: Simple Classifier with elegant interpretation.
• K-means clustering.
• Difference-in-Difference analysis.
• Linear Probability Model (LPM).
• Logit and Probit Models.
• Non-Parametric Tests.
• Analysis of Variance (ANOVA) & Post Hoc Tests.
• Reliability Analysis.
• Curve Estimations (Linear, Exponential and Quadratic).
• Factor Analysis.
• Concordance/ discordance statistics.
• Multi-level Modelling.

• India Decennial Censuses (1901 to 2011).
• Multi-country Censuses.
• Multi Indicator Cluster Surveys (MICS).
• National Family Health Surveys (NFHS 1, 2, 3, 4, 5, 1992-2021).
• District Level Household Survey (DLHS 1, 2, 3, 4).
• National Sample Survey (NSS), NSSO.
• Civil / Vital Registration System and Vital Statistics (CRS/ VRS/ CRVS).
• Sample Registration System (SRS, 1972-2020).
• Concurrent Evaluation of NRHM (2009).
• Coverage Evaluation Survey, MoHFW & UNICEF (2005, 2006 & 2009).
• Annual Health Survey (AHS 1, 2, 3 during 2010-11, 2011-12, 2012-13).
• Demographic Health Surveys (DHS) of different countries.
• Comprehensive National Nutrition Survey (CNNS), 2016-18.
• India Iodine Survey, 2018-19.

• http://www.linkedin.com/in/dr-manoj-raut-8a4a761a
• https://www.nutritionintl.org/people/manoj-raut/
• https://scholar.google.com/citations?user=6RdUxQMAAAAJ&hl=en
• https://www.researchgate.net/profile/Manoj-Raut-2
• https://iipsindia.academia.edu/ManojRaut/Books

• Determinants of childhood anaemia in India from 2005 to 2021: Insights from the last three rounds of India National Family Health Surveys, Manoj Raut, J C Reddy, Int J Community Med Public Health, 05/24, https://doi.org/10.1111/mcn.13477
• Nutrition education and counselling by frontline health and nutrition care workers is associated with improved iron adherence among pregnant women: evidence from the National Family Health Surveys, 2015-21, Manoj Raut, J. C. Reddy, Kirti Warvadekar, Ameet Babre, Mini Varghese, Shailesh Jagtap, M. Mofijul Islam, Int J Community Med Public Health, 05/23, https://doi.org/10.1111/mcn.13477
• Antenatal care is associated with adherence to iron supplementation among pregnant women in selected low‐middle‐income‐countries of Asia, Africa, and Latin America & the Caribbean regions: Insights from Demographic and Health Surveys, Karyadi, E., Reddy, J. C., Dearden, K. A., Purwanti, T., Mardewi, Asri, E., Roquero, L. B., Juguan, J. A., Sapitula‐Evidente, A., Anand, B., Warvadekar, K., Bhardwaj, A., Alam, M. K., Das, S., Nair, G. K., Srivastava, A., & Raut, Manoj., Maternal & Child Nutrition, 05/23, https://doi.org/10.1111/mcn.13477
• Effectiveness of nutrition counseling for pregnant women in low- and middle-income countries to improve maternal and infant behavioral, nutritional, and health outcomes: A systematic review, Raut Manoj, Reddy JC, Warvadekar K, Babre A, Varghese M, Jagtap S, et al., Campbell Systematic Reviews, 05/23, https://doi.org/10.1002/cl2.1361
• National and sub-national estimates of household coverage of iodised salt and urinary iodine status among women of reproductive age in India: Insights from the India Iodine Survey, 2018-19, Ranjan Kumar Jha, Susmita Das, Suvabrata Dey, Sucharita Dutta, Noor Khan, Suresh Lakshminarayanan, Aarati Pillai, Manoj Raut, J.C. Reddy, Mini Varghese, The Journal of Nutrition, 05/23, https://doi.org/10.1016/j.tjnut.2023.06.037

• Nutrition Information Monitoring Surveys (NIMS) in multiple countries in Asia.
• Implementation research to investigate the barriers and reasons for low adherence to IFA and calcium supplementation and recommend an improved program model to improve adherence to IFA and calcium in India, 2021-25.
• Implementation research on Elevating Quality Nutrition Services Across the First 1000 Days in India, 2021-25. Implementation research on transitioning from IFAs to MMS in Pakistan, 2021-25.
• Design and execution of the first-of-its-kind pan-India national level research study titled, India Iodine Survey covering 21,406 households across all the administrative units in the country to estimate urinary iodine concentration among pregnant, lactating and NPNL women of reproductive age and the iodine content in salt in the households through iodometric titration.
• Program evaluation of the DFAT Australia funded, MITRA project among pregnant and lactating mothers, caregivers of children in Indonesia.
• Impact evaluation of a demonstration project on reducing iron deficiency anaemia through provisioning of Encapsulated Ferrous Fumarate (EFF) Double fortified salt (DFS) in India.
• Successful design and execution of the impact evaluation of the project on Better Investments for Stunting Alleviation (BISA) in Indonesia.

• Population Projections: Cohort Component, Mathematical, Urban Rural Growth Difference and Ratio Methods.
• Lot Quality Assurance Sampling (LQAS).
• Large Country-Lot Quality Assurance Sampling (LC-LQAS).
• Snowball Sampling Method.
• Willingness to Pay Surveys (WTP).
• Qualitative research techniques like; In-depth Interviews and Focus Group Discussions (FGDs).
• Quantitative research techniques like; semi-structured interviews.

· Professional Certificate Program in Generative AI and Machine Learning : IHUB DivyaSampark, A joint initiative of the Government of India Department of Science & Technology (DST) and Indian Institute of Technology (IIT Roorkee, India): Issued Jul 2024

· Learning With the Book: An Introduction to Qualitative Research Methods for Health Research : University of Oxford: Issued Mar 2023

· Data Science: Text Analysis Using R: The London School of Economics and Political Science (LSE): Issued Nov 2022

· Evolving Leaders in Nutrition: Nutrition International: Issued Oct 2022

· Data Visualization & Dashboarding with R Specialization course 2022:The Johns Hopkins University: Issued Jul 2022

· Data visualization in R Course: The Johns Hopkins University : Issued Jul 2022

· Statistical Analysis with R for Public Health course 2022: Imperial College London : Issued Jul 2022

· Nvivo course: Nvivo Academy: Issued Jun 2022

· Data Science and Machine Learning: Making Data-Driven Decisions: MIT Schwarzman College of Computing: Issued May 2022

· Project Management for Development Professionals (PMD Pro) Level 1 Examination: APMG International: Issued Jan 2020

· Survey Sampling Summer Demographic and Health Survey Program: The Demographic and Health Surveys (DHS) Program: Issued Aug 2019

· WHO/ Cochrane/Cornell workshop on systematic reviews in nutrition for Global policy making: Cornell University: Issued Jul 2019

· Multilevel Modelling (MLM) and Longitudinal / Repeated Measure data analyses using Linear Models & Generalized Estimating Equations (GEE): CHRISTIAN MEDICAL COLLEGE AND HOSPITAL: Issued Jun 2018

· Applied methods in cost effectiveness analysis: Health Economics Research Centre, University of Oxford: Issued Dec 2017

· Data visualization: An Introduction: Global Health eLearning Centre: Issued Aug 2015

· Statistical Analysis System (SAS) 9.2: CHRISTIAN MEDICAL COLLEGE AND HOSPITAL: Issued Jun 2013

· Statistical Package for Social Sciences (SPSS) now Predictive Analytic Software for Windows (PASW) / IBM SPSS Statistics: Population Services International: Issued Mar 2004

Stata 18.5, SPSS (PASW) 26.0 ver., SAS 9.2, MYSTAT, SYSTAT, Gretl, Minitab 11.0 ver., Statistica 5.0 ver., Epi Info 6, NVivo 12 version, Atlas Ti, Anthropac, MLwin 2.36, TreeAge, Quanteda in R, R IDE in Jupyter notebook, Python 3.6, R, RStudio, Mortpak, Spectrum, Population Analysis Spreadsheets (PAS)