Staff Profile

Dr. Akansha Singh is working as a Core Methodologist for the NIHR Research Support Service (RSS). She brings a strong academic foundation and a proven track record in advancing health and social science research through robust statistical methodologies. Her work focuses on designing and implementing complex analytical frameworks that underpin high-quality, evidence-based decision-making in healthcare, education, and social policy. In her NIHR RSS role, Akansha provides methodological leadership and statistical support to researchers across the UK, ensuring rigorous design, analysis, and interpretation of health studies.

Her expertise spans quantitative data analysis, biostatistics, mathematical demography, mortality and health studies, and multilevel modeling, underpinned by advanced methodological rigor. Akansha has extensive experience with clinical and educational randomised controlled trials, as well as large-scale population, social, and behavioral datasets such as Demographic Health Surveys and census data. She applies diverse sampling designs and estimation techniques using tools including SAS, R, SPSS, STATA, MLwiN, and Excel.

Akansha’s research contributions include projects with the NIHR, Education Endowment Foundation (UK), Longitudinal Ageing Study in India, and Global Adult Tobacco Survey, alongside collaborations with leading institutions such as Harvard School of Public Health, WHO, and CDC Atlanta. Her recent work explores the appropriate use of quantitative methods in health and education studies and the application of machine learning techniques to public health data, driving innovation in evidence-based policy and practice.

Linkedin profile: https://www.linkedin.com/in/akansha-singh-0528a335/

Publications

Chapter in book

• Elicitation of Priors for Intervention Effects in Educational Trial Data
• Zhang, Q., Uwimpuhwe, G., Vallis, D., Singh, A., Coolen-Maturi, T., & Einbeck, J. (2024). Elicitation of Priors for Intervention Effects in Educational Trial Data. In J. Einbeck, H. Maeng, E. Ogundimu, & K. Perrakis (Eds.), Developments in Statistical Modelling (pp. 28-33). Springer. https://doi.org/10.1007/978-3-031-65723-8_5
• Gender Differences In Health Care Expenditures Using Multilevel Modelling
• Singh, A., & Katyan, H. (n.d.). Gender Differences In Health Care Expenditures Using Multilevel Modelling. In K. Kumar & A. Chaturvedi (Eds.), Some Recent Developments in Statistical Theory and Applications [Contracted by publisher]. BrownWalker Press.

Conference Paper

• Longitudinal analysis of educational outcomes
• Sayari, M., Vallis, D., Akhter, N., Uwimpuhwe, G., Singh, A., Kang, S., & Einbeck, J. (2025). Longitudinal analysis of educational outcomes. In Proceedings of the 39th International Workshop on Statistical Modelling (pp. 475-478).
• Individual participant data meta-analysis: pooled effect of EEF funded educational trials on low baseline attaining group
• Uwimpuhwe, G., Singh, A., Akhter, N., Ashraf, B., Coolen-Maturi, T., Robinson, T., Higgins, S., & Einbeck, J. (2023). Individual participant data meta-analysis: pooled effect of EEF funded educational trials on low baseline attaining group. In E. Bergherr, A. Groll, & A. Mayr (Eds.), 37th International Workshop on Statistical Modelling - Proceedings book (pp. 640-643). Statistical Modelling Society.

Journal Article

• Educational platform trials simulator (EPTS): Software for planning and simulating cluster-randomised, multisite and simple randomised platform trials
• Sayari, M., Singh, A., Uwimpuhwe, G., Akhter, N., Coolen-Maturi, T., Gupta, R., & Einbeck, J. (2025). Educational platform trials simulator (EPTS): Software for planning and simulating cluster-randomised, multisite and simple randomised platform trials. Softwarex, 31, Article 102214. https://doi.org/10.1016/j.softx.2025.102214
• Managing unusual sensory experiences in at-risk mental state for psychosis in England: A parallel group, single-blind, randomised controlled feasibility trial
• Dodgson, G., Singh, A., Barclay, N., Birkett, L., Boyle, C., Brandon, T., Dudley, R., Einbeck, J., Gibbs, C., Hamilton, J., Larry, V., Simpson, J., & Fernyhough, C. (2025). Managing unusual sensory experiences in at-risk mental state for psychosis in England: A parallel group, single-blind, randomised controlled feasibility trial. Psychiatry Research, 351, Article 116564. https://doi.org/10.1016/j.psychres.2025.116564
• Preferences for Psychological Therapy or Support Within an ARMS Psychological Therapies Trial: The Importance of Targeted Intervention for Unusual Sensory Experiences
• Hamilton, J., Singh, A., Gibbs, C., Barclay, N. A., Birkett, L., Boyle, C., Brandon, T., Dudley, R., Einbeck, J., Larry, V., Simpson, J., Dodgson, G., & Fernyhough, C. (2025). Preferences for Psychological Therapy or Support Within an ARMS Psychological Therapies Trial: The Importance of Targeted Intervention for Unusual Sensory Experiences. Early Intervention in Psychiatry, 19(4), Article e70035. https://doi.org/10.1111/eip.70035
• Are Informal Older Workers Utilizing Less Healthcare Services? Evidence from the Longitudinal Ageing Study in India, Wave-1
• Chowdhury, P., & Singh, A. (2024). Are Informal Older Workers Utilizing Less Healthcare Services? Evidence from the Longitudinal Ageing Study in India, Wave-1. Journal of Population Ageing, 17(4), 721-749. https://doi.org/10.1007/s12062-024-09458-5
• Trends in adult mortality rates in India, 1970 to 2018: age-period-cohort analysis.
• Misra, S., Singh, A., Goli, S., & James, K. S. (2024). Trends in adult mortality rates in India, 1970 to 2018: age-period-cohort analysis. Journal of Biosocial Science, 56(6), 929-951. https://doi.org/10.1017/S0021932024000270
• A Comparison of Threshold-Free Measures for Assessing the Effectiveness of Educational Interventions
• Einbeck, J., Coolen-Maturi, T., Uwimpuhwe, G., & Singh, A. (2024). A Comparison of Threshold-Free Measures for Assessing the Effectiveness of Educational Interventions. The Journal of Experimental Education. Advance online publication. https://doi.org/10.1080/00220973.2024.2405738
• Informal sector employment and the health outcomes of older workers in India
• Chowdhury, P., Mohanty, I., Singh, A., & Niyonsenga, T. (2023). Informal sector employment and the health outcomes of older workers in India. PLoS ONE, 18(2), Article e0266576. https://doi.org/10.1371/journal.pone.0266576
• Does the prenatal factor or the postnatal factor contribute more to changes in the child sex ratio in India? An investigation in the context of fertility and mortality transition
• Yadav, A. K., Ram, F., Singh, A., & Shekhar, C. (2022). Does the prenatal factor or the postnatal factor contribute more to changes in the child sex ratio in India? An investigation in the context of fertility and mortality transition. Journal of Biosocial Science, 54(3), 473-481. https://doi.org/10.1017/s0021932021000171
• Quality of Life of the Elderly during the COVID-19 Pandemic in Asian Countries: A Cross-Sectional Study across Six Countries
• Marzo, R. R., Khanal, P., Ahmad, A., Rathore, F. A., Chauhan, S., Singh, A., Shrestha, S., AlRifai, A., Lotfizadeh, M., Younus, D. A., Billah, M. A., Rahman, F., Sivaladchanam, Y., Mohan, D., & Su, T. T. (2022). Quality of Life of the Elderly during the COVID-19 Pandemic in Asian Countries: A Cross-Sectional Study across Six Countries. Life, 12(3), Article 365. https://doi.org/10.3390/life12030365
• Multisite educational trials: estimating the effect size and its confidence intervals
• Singh, A., Uwimpuhwe, G., Li, M., Einbeck, J., Higgins, S., & Kasim, A. (2022). Multisite educational trials: estimating the effect size and its confidence intervals. International Journal of Research & Method in Education, 45(1), 18-38. https://doi.org/10.1080/1743727x.2021.1882416
• Latent Class Evaluation in Educational Trials: What Percentage of Children Benefits from an Intervention?
• Uwimpuhwe, G., Singh, A., Higgins, S., Coux, M., Xiao, Z., Shkedy, Z., & Kasim, A. (2022). Latent Class Evaluation in Educational Trials: What Percentage of Children Benefits from an Intervention? Journal of Experimental Education, 90(2), 404-418. https://doi.org/10.1080/00220973.2020.1767021
• Individual Participant Data Meta-analysis of the Impact of Educational Interventions on Pupils Eligible for Free School Meals
• Ashraf, B., Singh, A., Uwimpuhwe, G., Higgins, S., & Kasim, A. (2021). Individual Participant Data Meta-analysis of the Impact of Educational Interventions on Pupils Eligible for Free School Meals. British Educational Research Journal, 47(6), 1675-1699. https://doi.org/10.1002/berj.3749
• What has contributed to the large sex differentials in lifespan variation and life expectancy in South Korea?
• Singh, A., & Kim, Y. (2021). What has contributed to the large sex differentials in lifespan variation and life expectancy in South Korea? Journal of Biosocial Science, 53(3), 396-406. https://doi.org/10.1017/s0021932020000267
• Psychological distress during pandemic Covid-19 among adult general population: Result across 13 countries
• Marzo, R. R., Ismail, Z., Nu Htay, M. N., Bahari, R., Ismail, R., Villanueva, E. Q., Singh, A., Lotfizadeh, M., Respati, T., Irasanti, S. N., Sartika, D., Mong, P., Lekamwasam, S., Thapa, B. B., Kucuk Bicer, B., Aye, S. S., Songwathana, K., El-Abasiri, R. A., Ahmad, A., … Su, T. T. (2021). Psychological distress during pandemic Covid-19 among adult general population: Result across 13 countries. Clinical Epidemiology and Global Health., 10, Article 100708. https://doi.org/10.1016/j.cegh.2021.100708
• A Survey of Psychological Distress among Bangladeshi People During the COVID-19 Pandemic
• Marzo, R. R., Singh, A., & Mukti, R. F. (2021). A Survey of Psychological Distress among Bangladeshi People During the COVID-19 Pandemic . Clinical Epidemiology and Global Health., 10, Article 100693. https://doi.org/10.1016/j.cegh.2020.100693
• Application of Bayesian posterior probabilistic inference in educational trials
• Uwimpuhwe, G., Singh, A., Higgins, S., & Kasim, A. (2021). Application of Bayesian posterior probabilistic inference in educational trials. International Journal of Research & Method in Education, 44(5), 533-554. https://doi.org/10.1080/1743727X.2020.1856067
• Association between the total fertility rate and under-five child sex ratio in India: a panel study among districts of the major states
• Yadav, A. K., Singh, A., & Ram, F. (2020). Association between the total fertility rate and under-five child sex ratio in India: a panel study among districts of the major states. Journal of Biosocial Science, 52(4), 514-522. https://doi.org/10.1017/s0021932019000592
• Classification of nicotine-dependent users in India: a decision-tree approach
• Singh, A., & Katyan, H. (2019). Classification of nicotine-dependent users in India: a decision-tree approach. Journal of Public Health, 27(4), 453-459. https://doi.org/10.1007/s10389-018-0973-x
• Continuities and changes in spatial patterns of under-five mortality at the district level in India (1991–2011)
• Singh, A., & Masquelier, B. (2018). Continuities and changes in spatial patterns of under-five mortality at the district level in India (1991–2011). International Journal of Health Geographics, 17(1). https://doi.org/10.1186/s12942-018-0159-3
• MEASURING EARLY LIFE DISPARITY IN INDIA
• Singh, A., & Ladusingh, L. (2016). MEASURING EARLY LIFE DISPARITY IN INDIA. Journal of Biosocial Science, 48(4), 457-471. https://doi.org/10.1017/s0021932015000383
• Life expectancy at birth and life disparity: an assessment of sex differentials in mortality in India
• Singh, A., & Ladusingh, L. (2016). Life expectancy at birth and life disparity: an assessment of sex differentials in mortality in India. International Journal of Population Studies, 2(1), 38-52. https://doi.org/10.18063/ijps.2016.01.005
• Contextual correlates of intensity of smoking in northeast India
• Ladusingh, L., & Singh, A. (2015). Contextual correlates of intensity of smoking in northeast India. International Journal of Public Health, 60(3). https://doi.org/10.1007/s00038-015-0652-4
• Prevalence and Determinants of Tobacco Use in India: Evidence from Recent Global Adult Tobacco Survey Data
• Singh, A., & Ladusingh, L. (2014). Prevalence and Determinants of Tobacco Use in India: Evidence from Recent Global Adult Tobacco Survey Data. PLoS ONE, 9(12). https://doi.org/10.1371/journal.pone.0114073
• Urban–rural differentials in the factors associated with exposure to second-hand smoke in India
• Singh, A., & Sahoo, N. (2013). Urban–rural differentials in the factors associated with exposure to second-hand smoke in India. BMJ Open, 3(11). https://doi.org/10.1136/bmjopen-2013-003542
• Increasing life expectancy and convergence of age at death in India
• Singh, A., & Ladusingh, L. (2013). Increasing life expectancy and convergence of age at death in India. Genus, 69(1), 83-99.

Presentation

• eefAnalytics and epts: Two R Packages Supporting the Evaluation of Educational Interventions
• Kang, S., Uwimpuhwe, G., Sayari, M., Singh, A., & Einbeck, J. (2025, September 1 – 2025, September 4). eefAnalytics and epts: Two R Packages Supporting the Evaluation of Educational Interventions [Poster]. Presented at Royal Statistical Society International Conference 2025, Edinburgh, United Kingdom.

Report

• Independent evaluation of the Early Years Conversation Project (EYCP): A two-armed cluster randomised waitlist-controlled trial. Statistical Analysis Plan.
• Singh, A., Oughton, R., Qi, X., Menzies, V., Chambers, L., & Siddiqui, N. (2025). Independent evaluation of the Early Years Conversation Project (EYCP): A two-armed cluster randomised waitlist-controlled trial. Statistical Analysis Plan. Education Endowment Foundation.
• Improving power calculations in educational trials
• Singh, A., Uwimpuhwe, G., Vallis, D., Akhter, N., Coolen-Maturi, T., Einbeck, J., Higgins, S., Culliney, M., & Demack, S. (2023). Improving power calculations in educational trials. Education Endowment Foundation.
• Individual-participant-data-meta-analysis-of-the-impact-of-EEF-trials-on-the-educational-attainment-of-pupils-on-Free-School-Meals
• Ashraf, B., Singh, A., Uwimpuhwe, G., Coolen-Maturi, T., Einbeck, J., Higgins, S., & Kasim, A. (2021). Individual-participant-data-meta-analysis-of-the-impact-of-EEF-trials-on-the-educational-attainment-of-pupils-on-Free-School-Meals. EEF.