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Dr Khaled Khatab CStat, CSci RSS

Reader in Medical Statistics and Health Economic modelling

Summary

Khaled has been working at Sheffield Hallam University (SHU) since 2012, initially as a Principal Research Fellow and later as a Reader (equivalent to Associate Professor) in Medical Statistics and Health Economic Modelling.

Due to the seniority of his current post, Khaled performs many duties and roles such as leading on and contributing to multidisciplinary research teams as well as leading on the statistics and health economic components of funded research projects and bids.

  • About

    Since March 2015, Khaled has taken over Professor Malcolm Whitfield's research project commitments, including leading PhD research projects as well as his major statistical modelling project. This includes his Health Economics leadership role, working across diverse disciplines within the Faculty of Health and Wellbeing.

    Khaled currently leads on statistical modelling in various projects, undertaking methodological and applied research and consultancy, using mathematical and statistical techniques in health and healthcare.

    Since early 2017, Khaled is Chair and of the Child Health and Epidemiology Group and line manager to the members of the Group. The aim of this theme is to develop and deploy new and improved evidence on the causes and determinants of neonatal and child & maternal morbidity and mortality, on intervention handling and on the effectiveness of interventions to enlighten and impact the research priorities in this area both nationally and internationally. This includes estimating specific distribution of the main causes of under-5 deaths, as well as maternal death and of the proportion of these deaths which can be prevented and lives saved through developing precise interventions and enhancing modelling methodology along with new predictions of efficacy and effectiveness of child survival interventions.

    From 2015-2017, Khaled was Chair of the Research Methodology Team. The aim of this Research Team is to promote research design, methodologies and statistical modelling in the University. To support science of quality in all of our projects, the Centre invested in a Research Methods Group. The Group ensures that all research projects, bids and contracts are driven by clear conceptual frameworks, consisting of problem definitions, literature review, hypothesis, research questions, recruitment procedure, data collections, statistical methods and health economic modelling. They are implemented with well-documented research designs and methods, using appropriate statistical analysis.

    Khaled has been appointed as a Visiting Professor in Statistics by the University of Ohio Zanesville, USA for 2016-2018.  During this period, he has been working on a joint project with Ohio to assess the efficiency and effectiveness of herbal vs. orthodox medicines in the USA publication: 'A case study for Campus students from different age groups'. Also, he taught the MATH 2500 (Statistics) course during the spring semester of 2017.

    In early 2017, Khaled became an academic Editor for PLOSE ONE Journal.

    Khaled was recently nominated as an inspirational research supervisor, which is a significant achievement and is testament to the quality of his professional practice. It reflects well on his professionalism and his support to the PhD students. 

    Khaled has over 17 years' professional and/or post-doctoral experience in medical statistics and health economic modelling applied to epidemiology, social care, and public health. Over this period, in his role as Principal Investigator or Co-Investigator, he has secured over £4.5 (£1.2 million at SHU since 2012) million of research and consultancy grants for different institutions and published over 30 articles (H index 23) (20 as first author), with an average impact factor of 4 across all publications in high-impact internationally peer-reviewed journals such as the American Journal of Tropical Medicine, PLOS ONE and Nature (at least eight articles were considered in REF 2014 and REF 2020). 

    During the period 2016-2018, Khaled was able to develop a couple of novel models. He assessed the area-specific spatial effects and risk factors of co-morbidity in children under 5 using a Bayesian Multinomial geoadditive model (published in PLOS ONE in July, 2016). Khaled's other model is focused on understanding what drove toxic chemical release across a 16-year period between 1998 and 2013in the USA, using an input-output structural decomposition analysis combining US economic, population and National Toxics Release Inventory datasets (published in Nature, November, 2016). Recently, Khaled assessed the area-specific spatial effects and associate Risk Factors with Child Welfare, including Child Labour and Violence against Child issues in Egypt, using Bayesian Geospatial Modelling with Multiple Imputation. This model is novel in this area of research and this paper was recently accepted by PLOS ONE (in 2018).

    Khaled's main research interests are in Bayesian statistical methods and their application to epidemiology and health, in particular, addressing maternal and child health and a variety of health-related health inequalities, both in the developing countries and command economies, using large scale household data. This includes Bayesian modelling and diseases mapping, statistical methods applied to epidemiology, survival analysis, longitudinal data analysis, meta-analysis and Bayesian spatial Analysis.

    Contribution to the development of statistics field: During these years, Khaled developed an advanced statistical technique utilising highly sophisticated models to enable us to accommodate a large number of variables, such as categorical, metrical, binary, and spatial, as well as numerous types of outcome variables. Khaled has developed and used the Markov Chain Mont Carlo (MCMC) package in R software and a C++ code compiler system to develop this model, which has since been used widely. The outputs of this model system were published in the American Journal of Tropical Medicine.

    These articles have had a significant impact on statistical methods in medical research. These research papers presented both theoretical contributions and empirical applications of advanced statistical techniques including: Geo-additive Latent Variable Models which link individual measures with area variables to account for spatial correlation; multilevel models that address the issue of clustering within the family and household; multi-process models that account for interdependencies over life-course events and non-random utilisation of health services; flexible parametric alternatives to existing intensity models. These techniques are illustrated mainly through modelling in maternal and child health contexts, using data from different sources.

    Khaled has also produced conference papers, submitted abstracts, written two chapters in books as well as one entire book and delivered oral presentations, invited presentations as well as performing the role of Chair at over 20 national and international conferences.

    In Khaled previous roles, he worked as an Assistant Professor in Medical Statistics and Statistical Methods in Epidemiology for the RWTH Aachen University in Germany. In this capacity, he led the Epidemiology and Public Health Scheme at the Medical School of Aachen for five years from 2008 to 2012. His primary role was to direct and contribute to the output of multidisciplinary research teams (which comprised medical doctors, statisticians, a data manager, a sociologist and various research assistants). Khaled led the statistics and health economic components of funded research projects and bids. Another of Khaled's principal duties was to mentor, advise and train junior researchers in order to improve their skills and adjust their strategies to meet essential criteria, thereby conforming to the overall strategy of the University. As Principal Investigator (PI), he led several projects, collaborating with Aachen University, Warwick University, and Stockholm University.  Data from these projects has been published in a number of prestigious international journals.

    Khaled worked as a statistical consultant at Glasgow University from 2007 to 2008 and participated in a project funded by Glasgow City Council and the Scottish Government. The aim of this project was primarily to evaluate the impact of the provision of new social housing on physical and mental health.  It focused upon a longitudinal assessment of the health-related effects of major housing improvements across Scotland. There was no marked change in physical health outcomes for people who were rehoused, nor was there any significant change in health-related behaviours.

    From 2000 to 2008, Khaled worked as a researcher (and later as a senior researcher) in the Institute of Statistics at Munich University, where he gained both his MSc and PhD qualifications. During this period, Khaled taught statistics and supervised undergraduate and postgraduate students whilst developing modules and teaching materials.

    Khaled also served as PI and participated (COI) in various projects which focused upon maternal and child health in developing countries in collaboration with Heidelberg University.

    Khaled has been developing and applying modelling in support of healthcare decision-making, nationally and internationally, across a large range of diseases, interventions and service planning and policy issues, over the past 17 years. He has delivered many projects over a diverse range of research studies, including maternal and child health, CVD disease in the UK and abroad, dementia patients in the UK and abroad, public health problems in Europe and developing countries and cancer projects.  This experience has led him to become a consultant for statistics and quantitative methods at the Royal Statistical Society in London.

    Advanced Statistics, Health Economic modelling, methodology and application of decision-analytic modelling and Bayesian approaches to Health Technology Assessment

  • Teaching

    Department of Nursing and Midwifery

    Health And Wellbeing

    Statistics III (Bayesian Inference, Multivariate Analysis, Probability Analysis, Regression Analysis)
    Statistics I and II (introductory courses in statistics)
    Medical Statistics
    Advanced Statistical Methods in Epidemiology

  • Research

    • Centre for Health and Social Care Research

    Khaled has over 17 years' professional and/or post-doctoral experience in medical statistics and health economics modelling, applied to epidemiology, social care and public health. Over this period, in Khaled's role as Principal Investigator or Co-Investigator, he has secured over £5 (£1.4 million at SHU since 2012) million of research and consultancy grants for different institutions and published over 30 articles (20 as first author), with an average impact factor of 6 across all publications in high-impact internationally peer-reviewed journals such as American Journal of Tropical Medicine, PLOS ONE and Nature (at least eight articles were considered in REF 2014 and REF 2021)

    • 2018: Khatab K (PI). Funded by SHU\HWB Strategic Research Investment Fund for the Child health and Epidemiology team. The aim of this fund was to organise a Seminar focusing on Geospatial Child Health and Epidemiology to explore the main concepts, gaps, methods and research findings relating to infants and young children – five years and under and over – from a variety of perspectives, including psychology, education and health, including approaches to assessment and intervention.

      This seminar took place in the Faculty of Health and Wellbeing at SHU on 20June 2018.

      Main themes discussed at the seminar included:  Child Morbidity and Mortality, Child & Adolescent Mental Health, Interventions & Evidence, Child Labour and Environmental Influence, to identify the social policies and programmes most effective in supporting Africa’s poorest and most vulnerable children and to elaborate on the key features underpinning their documented success.

      The focus of this proposal of research strategy and collaboration included the seminar and the collaboration with Ohio University which aligns with the priority of building on existing partnerships, further developing and creating a broad set of research strategic collaborations with other institutions and other universities, in the UK and internationally, to maintain and enhance our research excellence and reputation.
    • 2016-2018: Khatab. K (COI). Funded by Rotherham Doncaster and South Humber NHS Foundation Trust. (£69000). Evaluate the Adult Mental Health Hospital Liaison Service.
    • 2016-2018: Khatab.K (COI) (£85000). Dunhill Trust. An observational study to assess thermal comfort of frail older people in a care home setting.
    • 2015-2016: Khatab.K (Health Economics Consultant). Funded by Parkinson's Research UK (£45000). Assessing the Economic and Social Cost of Parkinson's on Patients, Carers and their Families.
    • 2016-2019: Khatab.K (COI). NIHR-10th call-invention for innovation (i4i) research (£533,432.00) Virtual Reality Prosthetics Experiential Training System using Rift.
    • 2015-2017: Khatab.K (COI). Funded by NIHR (£85,000). Clinical and demographic characteristics associated with delay in help-seeking behaviour in patients with Acute Coronary Syndrome.
    • 2015-2016: Khatab.K (COI). Funded by MS (£10,000). Tender for Models of Ex-cellence Literature Reviews. Physical Activity in People with MS.
    • 2016-2017: Khatab.K (COI). Founded by DRI (£10,000). The "Back Active" Phys-iotherapy Model of Care. A Protocol of a Service Evaluation.
    • 2016-2017: Khatab.K (COI). Funded by primary Care Sheffield Ltd,c/o Sheffield Health and Social Care NHS Foundation Trust. (£70,000).Evaluate the Sheffield Enhanced Primary Care Programme.
    • 2016-2017: Khatab.K (COI). Funded by Middlesbrough Borough Council.(£12000,000) Health Development Service Review (including Exercise on Referral) Exploring the current health development service provision and the needs and requirements for future service provision.
    • 2013-2014: Khatab.K (COI). Partnership with B.Braun Medical Ltd. (£30,000).
      Develop in-house capacity to evaluate the commercial potential of new products and services.
    • 2007-20013: Khatab.K (PI). Founded by The German Social Accident Insurance In-stitution for the energy, textile, electrical and media products sectors (EUR 1,978.000 Million). Lung diseases among different sub-cohorts of formerly asbestos exposed workers in Germany.

    Munich University, Aachen University, Qatar University and Qatar foundation, Ohio University, Cape town University, Sheffield University, University of Michigan, NIHR, MS society, DRI, CCG

  • Publications

    Key Publications

    Koh, S.C.L., Ibn-Mohammed, T., Acquaye, A., Feng, K., Reaney, I.M., Hubacek, K., ... Khatab, K. (2016). Drivers of U.S. toxicological footprints trajectory 1998–2013. Scientific Reports, 6, 39514. http://doi.org/10.1038/srep39514

    Khatab, K., Adegboye, O., & Mohammed, T.I. (2016). Social and demographic factors associated with morbidities in young children in Egypt: a Bayesian geo-additive semi-parametric multinomial model. PLOS ONE, 11 (7), e0159173. http://doi.org/10.1371/journal.pone.0159173

    Journal articles

    Frank, T.D., Carter, A., Jahagirdar, D., Biehl, M.H., Douwes-Schultz, D., Larson, S.L., ... Murray, C.J.L. (2019). Global, regional, and national incidence, prevalence, and mortality of HIV, 1980–2017, and forecasts to 2030, for 195 countries and territories: a systematic analysis for the Global Burden of Diseases, Injuries, and Risk Factors Study 2017. The Lancet HIV. http://doi.org/10.1016/S2352-3018(19)30196-1

    Khatab, K., Raheem, M.A., Sartorius, B., & Ismail, M. (2019). Prevalence and risk factors for child labour and violence against children in Egypt using Bayesian geospatial modelling with multiple imputation. PLOS ONE, 14 (5), e0212715. http://doi.org/10.1371/journal.pone.0212715

    IInthawong, R., Khatab, K., Whitfield, M., Collins, K., Raheem, M., & Ismail, M. (2019). Health care and hospitalisation costs of cardiovascular disease (CVD) in Thailand. Open Access Library Journal, 6 (3), e5320. http://doi.org/10.4236/oalib.1105320

    Khatab, K., Raheem, M., Sartorius, B., & Ismail, M. (2019). Prevalence and Risk Factors for Child Labour and Violence against Child issues in Egypt using Bayesian Geospatial Modelling with Multiple Imputation. . http://doi.org/10.1101/546697

    Khatab, K., Inthawong, R., Whitfield, M., Collins, K., Raheem, M.A., & Ismail, M. (2019). Application of Cardiovascular disease (CVD) risk assessment equations to the Thai population. Biostatistics and Epidemiology International Journal. http://ologyjournals.com/beij/

    Khatab, K., Inthawong, R., Whitfield, M., Collins, K., Raheem, M., & Ismail, M. (2019). Risk factors associated with Cardiovascular Disease (CVD) in Thailand from the 4th National Health Examination Survey 2008-2009. Biostatistics and Epidemiology International Journal. http://ologyjournals.com/beij/

    Thongchundee, O., Gumber, A., Khatab, K., & Gumber, L. (2015). Efficacy and cost of atypical antipsychotics in treatment and management of dementia. SM Journal of Neurological Disorders and Stroke, 1 (1). http://smjournals.com/neurological-disorders-stroke/fulltext/smjnds-v1-1002.pdf

    Khatab, K., Felten, M.K., Kandala, N.B., Ghilagaber, G., Gumber, A., & Kraus, T. (2014). Risk factors associated with asbestos-related diseases: results of the asbestos surveillance programme Aachen. European Medical Journal: respiratory, 1. http://emjreviews.com/

    Felten, M.K., Khatab, K., Knoll, L., Schettgen, T., Müller-Berndorff, H., & Kraus, T. (2014). Changes of mesothelin and osteopontin levels over time in formerly asbestos-exposed power industry workers. International Archives of Occupational and Environmental Health, 87 (2), 195-204. http://doi.org/10.1007/s00420-013-0853-1

    Khatab, K. (2012). The Arab Spring: Where is Egypt now? Significance, 9 (1), 32-34. http://doi.org/10.1111/j.1740-9713.2012.00543.x

    Khatab, K., & Kandala, N.-.B. (2011). Latent variable modelling of risk factors associated with childhood diseases: Case study for Nigeria. Asian Pacific Journal of Tropical Disease, 1 (3), 169-176. http://doi.org/10.1016/S2222-1808(11)60022-4

    Khatab, K., Felten, M., Kandala, N.-.B., Ghilagaber, G., & Kraus, T. (2011). Risk factors associated with asbestos-related lung diseases among different sub-cohorts of formerly asbestos exposed workers in Germany. Occupational and Environmental Medicine, 68 (Suppl_1), A71. http://doi.org/10.1136/oemed-2011-100382.231

    Felten, M.K., Knoll, L., Eisenhawer, C., Ackermann, D., Khatab, K., Hüdepohl, J., ... Kraus, T. (2010). Retrospective exposure assessment to airborne asbestos among power industry workers. Journal of Occupational Medicine and Toxicology, 5 (1), 15. http://doi.org/10.1186/1745-6673-5-15

    Khatab, K. (2010). Childhood malnutrition in Egypt using geoadditive gaussian and latent variable models. American Journal of Tropical Medicine and Hygiene, 82 (4), 653-663. http://doi.org/10.4269/ajtmh.2010.09-0501

    Khatab, K., & Fahrmeir, L. (2009). Analysis of childhood morbidity with geoadditive probit and latent variable model: a case study for Egypt. American Journal of Tropical Medicine and Hygiene, 81 (1), 116-128. http://www.ajtmh.org/content/81/1/116.full.pdf+html

    Khatab, K. (n.d.). Egypt moving towards the unknown. Signifcance.

    Ludwig, F., & Khatab, K. (n.d.). Geoadditive Latent Variable Modelling of Child Morbidity and Malnutrition in Nigeria. Munich University, TR.

    Khatab, K., & Fahrmeir, L. (n.d.). Geoadditive Latent Variable Modelling of Child Morbidity. TR Munich University.

    Khatab, K. (n.d.). Associations Between Nutritional Indicators Using Geoadditive Latent Variable Models with Application to Child Malnutrition in Nigeria. Tropical Medicine and International Health.

    Conference papers

    Khatab, K. (2018). Prevalence of child welfare in Egypt using Bayesian Geospatial Modelling. In Geospatial Child Health and Epidemiology Seminar, 20 June 2018.

    Khatab, K. (2018). Child health and epidemiology with Bayesian geo-additive latent variable models. GEO-STATISTICS.

    Masod, S., Gubmer, A., & Khatab, K. (2014). Pattern of Government and Household Health Care Financing in Pakistan. Early Career Researcher Conference.

    Khatab, K. (2013). Application of Bayesian geoadditive mixed latent variable model to the child's health problems. ISI World Statistics.

    IInthawong, R., Whitfield, M., Khatab, K., & Collins, K. (2012). Estimating the impact of reducing cardiovascular disease risk factors in Thailand. health challenge.

    IInthawong, R., Whitfield, M., Khatab, K., & Collins, K. (2012). Application of the cardiovascular disease risk assessment equation in the Thai population. health challenge Thailand.

    Khatab, K. (2012). Bayesian approach to the child's health problems. ISBA.

    Felten, M., & Khatab, K. (2012). Exposure with toxic substances among electronic-waste workers: Concept for multi-centre, multinational assessment study in Africa. International science of exposure assessments.

    Khatab, K., Felten, M., Kandala, N.-.B., Ghilagaber, G., & Kraus, T. (2011). Risk factors associated with asbestos-related lung diseases among different sub-cohorts of formerly asbestos exposed workers in Germany. Occupational and Environmental Medicine, 68 (Suppl1). http://doi.org/10.1136/oemed-2011-100382.231

    Khatab, K., Felten, M., Kandala, N.-.B., Ghilagaber, G., & Kraus, T. (2011). Risk factors associated with asbestos-related lung diseases among different sub-cohorts of formerly asbestos exposed workers in Germany. Occupational and Environmental Medicine, 68 (Suppl1). http://doi.org/10.1136/oemed-2011-100382.231

    Felten, M., Khatab, K., Knoll, L., Müller-Berndorff, H., & Kraus, T. (2011). Serial measurements of mesothelin and osteopontin in formerly asbestos exposed power industry workers. Occupational and Environmental Medicine, 68 (Suppl1). http://doi.org/10.1136/oemed-2011-100382.230

    Khatab, K., & Felten, M. (2011). Serial measurements of mesothelin and osteopontin in for- merly asbestos exposed power industry workers. In Occupational Health, Occup Environ Med. BMJ

    Khatab, K., & Felten, M. (2011). Asbestos-related lung diseases among different sub-cohorts of formerly asbestos exposed workers in Germany. International on Epidemiology in Occup Health.

    Felten, M., Khatab, K., Knoll, L., Schettgen, T., & Berndorff, H. (2011). measurements of mesothelin and osteopontin in formerly asbestos exposed power industry workers. International Epidemiology in Occup Health.

    Khatab, K. (2010). Child health situation in Egypt. International Journal of Mathematical and Statistical Sciences.

    Khatab, K., & Felten, M. (2010). Asbestos lung related diseases among different sub-cohorts of formally asbestos workers in Germany. International Occupational Hygiene Association.

    Khatab, K. (2010). Childhood Malnutrition in DRC. the International Society for Bayesian Analysis.

    Khatab, K. (2009). Advanced techniques in the modelling of child health problems. International Statistical Institutions.

    Khatab, K., & Fahrmeir, L. (2009). Analysis of Childhood Morbidity with Geoadditive Probit and Latent Variables. ICHO.

    Khatab, K. (2009). Deskriptive Analyse asbestbedingter Malig- nome ehemals exponierter Kraftwerksmitarbeiter. DGAUM.

    Khatab, K. (2008). Geoadditive Latent Variable Modelling of Child Morbidity and Malnutrition. Statistics and Life Sciences.

    Khatab, K. (2006). A Bayesian semi-parametric latent variable model for binary responses with application on Childhood disease in developing countries. Empirical Economics.

    Khatab, K., & Fahrmeir, L. (2006). Semi-parametric modelling of malnutrition status of children using geoadditive Gaussian regression and Latent models. Actual Biometrical Problems in public health.

    Khatab, K. (2006). Analysis of childhood disease in developing countries with geoadditive probit and latent variable models. child mortality in ASIA/AFRICA.

    Book chapters

    Khatab, K. (2012). Associations Between Nutritional Indicators Using Geoadditive Latent Variable Models with Application to Child Malnutrition in Nigeria. In Tropical Medicine. Tech

    Books

    Ngianga-Bakwin, K., & Gerbrenegus, G. (Eds.). (2013). Bayesian Geoadditive Mixed Latent Variable Models with Applications to Child Health Problems in Egypt and Nigeria. Springer.

    Khatab, K. (Ed.). (2011). Association between Measurements of the Malnutrition Status of Children in Nigeria using Geoadditive Latent Variable Models. Tech.

    Khatab, K. (Ed.). (2011). Association between Measurements of the Malnutrition Status of Children in Nigeria using Geoadditive Latent Variable Models. Tech.

    Khatab, K. (Ed.). (2011). Analysis of childhood diseases and malnutrition in developing countries of Africa. Dissertation, Department of Statistics.

    Khatab, K. (Ed.). (2011). Analysis of childhood diseases and malnutrition in developing countries of Africa. Dissertation, Department of Statistics.

    Reports

    Khatab, K., Breckon, J., & Gee, M. (2015). Physical Activity in People with Multiple Sclerosis and its Health Economics Impact. Multiple Sclerosis Society publication.

    Theses / Dissertations

    Inthawong, R. (2015). Assessing the impact of reducing risk factors for cardio-vascular disease in Thailand. (Doctoral thesis). Supervised by Whitfield, M., & Khatab, K.

  • Other activities

    Editorships:

    Academic Editor, PLUSONE Journal (since 2017).

    Editorial Board, Biostatistics and Epidemiology journal (2018)
    Executive Editor in Chief, Asian Pacific Journal of Tropical Biomedicine (since 2011)
    Editorial Board, Asian Pacific Journal of Tropical Medicine (since 2011)
    Scientific Consultation Board, Royal Statistical Society, London (since 2010)

    Reviewer:

    Rater for the NIHR Dissemination Centre (since 2015
    External Examiner - Aachen University, Munich University
    Reviewer, American Journal of Tropical and Hygiene
    Reviewer, Social Science & Medicine
    Reviewer, International journal of equity and health
    Reviewer, Journal of Health and Place
    Reviewer, Journal of Nutrition & Food Sciences
    Reviewer, National Institute for Health Research (NIHR)
    Reviewer, The Economic and Social Research Council (ESRC)
    Reviewer, Medical Research Council (MRC)

  • Postgraduate supervision

    • Cost-Effectiveness of Atypical Antipsy-chotics for the treatment of Behavioural and Psychological Symptoms of Dementia in Thailand (2018).
    • Assessing the impact of reducing risk factors for cardiovascular disease in Thailand (completed, SHU, 2015).
    • Radiological surveillance of former asbestos exposed power industry workers (completed, 2013)

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