Rachel Hilliam is Professor of Statistics in the School of Mathematics and Statistics, where she has previously held the roles of Director of Teaching for Mathemetics and Statistics and accademic lead for the Mathematics and Statistics student support team.
She has worked in a number of universities and as a medical statistician in the NHS before joining The Open University in 2011. Since 2019 she has held the position of Honorary Associate Professor in Statistics at the University of Warwck and is a Visiting Fellow in the College of Heath and Social Care at the University of Derby which she has held since 2015.
She has a strong interest in teaching statistics and has given the statistics workshop for the Induction Course for New Lecturers in Mathematics Sciences organised by the Institute of Mathematics and its Application. Rachel is a founding member of the Special Interest Group in Teaching Statistics at the RSS and is a founding co-organiser, along with Michael Grove (IMA and University of Birmingham) and Kevin Houston (LMS and University of Leeds), of TALMO (Teaching and Learning Mathematics Online).
Rachel's research spans three broad areas:
Rachel currently chairs M248 Analysing data which is a Level 2 module taken by students from a wide range of disciplines including Data Science, Economics, Computing and IT and Science as well as sudents studying degrees in Mathematics and Sttaistics.
In addition she is a member of the M348 Applied statistical modelling production team and the M140 Introducing statistics presentation team
Rachel is currently Vice-President for Professional Affairs at the Royal Statistical Society (RSS), the Professional Affairs Committee (PAC) which oversees all professional aspects of the Society's work. This includes conferring Data Analyst, Graduate and Chartered Statistician status to qualified members, accrediting university and training courses as well as continuing professional development for statisticians.
She is the inaugural chair of the Alliance for Data Science Professionals (AfDSP). The AfDSP aims to define, promote and certify professional standards within data science. Since the start of 2020 the Alliance has been working collaboratively to develop standards and competencies for academic institutions and for use in the workplace. Recognising the range of roles and jobs involved in Data Science certification will build upon the codes of conduct of the associated professional societies. The initial members of the Alliance include: TheRoyal Statistical Society (RSS),The British Computer Society (BCS), The Operational Research (OR) Society, The Institute of Mathematics & its Applications (IMA), The National Physical Laboratory (NPL), and The Alan Turing Institute (ATI). The work has gained support from the Royal Society, the Royal Academy of Engineering and the Government where it is referenced in the National Data Strategy.
She is a founding RSS Special Interest Group in Teaching Statistics in Higher Education who aim to promote good teaching practice in statistics in higher education, post-16 education and
The Covid-19 pandemic resulted in an emergency move to online teaching throughout the world. To assist with these preparations and avoid wasteful duplication of effort Rachel, together with Michael Grove (IMA and University of Birmingham) and Kevin Houston (LMS and University of Leeds), co-created TALMO. From 2020-2021 the workshops and resources supported numerous Mathematics Sciences Departments around the world. In 2022 the focus of TALMO moved from teaching and learning mathematics online to an onine seminar on teaching and learning mathematics in all its forms. It continues to support a community of mathematical science educators.
I am an visitng Fellow in Medical Statistics at the University of Derby and have several collaborative projects with both Leicester and Derby Hospitals. I'm an Honorary Associate Professor in the Department of Statistics at the University of Warwick.
University Mathematics Assessment Practices During the Covid-19 Pandemic (2022)
Henley, Matthew; Grove, Michael and Hilliam, Rachel
MSOR Connections, 20(3) (pp. 5-17)
Can the same statistics module be used for service teaching by tailoring the support based on the student’s chosen qualification? (2022)
Calvert, Carol; Hilliam, Rachel and Steele, Emma
MSOR Connections, 20(3) (pp. 73-83)
Mathematics and statistics distance learning: more than just online teaching (2021-12)
Hilliam, Rachel; Goldrei, Derek; Arrowsmith, Gaynor; Siddons, Alexander and Brown, Cath
Teaching Mathematics and its Applications: An International Journal of the IMA, 40(4) (pp. 374-391)
When one size does fit all: Simultaneous delivery of statistics teaching to multiple audiences (2021)
Hilliam, Rachel and Vines, Karen
Journal of University Teaching & Learning Practice, 18, Article 4(2)
Prospective Clinical Trial Comparing Trapezial Denervation With Trapeziectomy for the Surgical Treatment of Arthritis at the Base of the Thumb (2019-06)
Salibi, Andrej; Hilliam, Rachel; Burke, Frank D. and Heras-Palou, Carlos
Journal of Surgical Research, 238 (pp. 144-151)
Interactive statistics for a diverse student population (2019)
Hilliam, Rachel and Calvert, Carol
Open Learning: The Journal of Open, Distance and e-Learning, 34(2) (pp. 203-210)
Academic and pastoral teams working in partnership to support distance learning students according to curriculum area (2019)
Hilliam, Rachel and Williams, Gareth
Higher Education Pedagogies, 4(1) (pp. 32-40)
Enhancing the student experience with the use of a dedicated subject website (2019)
Hilliam, Rachel and Arrowsmith, Gaynor
MSOR Connections, 17(2) (pp. 39-45)
Creating an online mathematics and statistics community of learners (2019)
Hilliam, Rachel and Goldrei, Derek
New Directions in the Teaching of Physical Sciences, 14(1)
A novel device for preoperative skin preparation to reduce the risk of injury and surgical site infection during lower limb surgery (2018-05-01)
Webb, J.; Hilliam, R. and Bainbridge, L.
Journal of Perioperative Practice, 28(5) (pp. 109-114)
The Triple Whammy: Gendered Careers of Geographically Marginalised Academic STEM Women (2018)
Herman, Clem and Hilliam, Rachel
International Journal of Gender, Science and Technology, 10(1) (pp. 171-189)
Student feedback to improved retention: using a mixed-methods approach to extend speciﬁc feedback to a generalisable concept (2018)
Calvert, Carol and Hilliam, Rachel
Open Learning: The Journal of Open, Distance and e-learning, 34(1) (pp. 103-117)
Interactive Statistics: can we use experience from a large diverse student cohort to provide professional development for a wider population? (2017)
Hilliam, Rachel and Calvert, Carol
New Directions in the Teaching of Physical Sciences, 12(1)
Improving retention for all students, studying mathematics as part of their chosen qualification, by using a voluntary diagnostic quiz (2016-09)
Calvert, Carol; Hilliam, Rachel and Coleman, Juliet
MSOR Connections, 14(3) (pp. 32-38)
Effectiveness of a care bundle to reduce surgical site infections in patients having open colorectal surgery (2016-04)
Tanner, J.; Kiernan, M.; Hilliam, R.; Davey, S.; Wood, T.; Ball, J. and Leaper, D.
Annals of the Royal College of Surgeons England, 98(4) (pp. 270-274)
Mothers’ and grandmothers’ perceptions relating to causality, treatment and support for families of a child with a diagnosis of attention deficit hyperactivity disorder: applying Enosis, an alternative mixed methods approach (2014-12)
Fakis, Apostolos; Hilliam, Rachel; Townend, Michael; Stoneley, Helen and Robinson, Gary
International Journal of Multiple Research Approaches, 8(2) (pp. 148-165)
Quantitative analysis of qualitative information from interviews: a systematic literature review (2014-04)
Fakis, Apostolos; Hilliam, Rachel; Stoneley, Helen and Townend, Michael
Journal of Mixed Methods Research, 8(2) (pp. 139-161)
Access to medicines by child refugees in the East Midlands region of England: a cross-sectional study (2014)
Alkahtani, S.; Cherrill, J.; Grayson, K.; Hilliam, R.; Sammons, H. and Choonara, I.
BMJ Open, 4, Article e006421(12)
A fresh look at preoperative body washing (2012-01)
Tanner, Judith; Gould, Dinah; Jenkins, Philip; Hilliam, Rachel; Mistry, Neetesh and Walsh, Susannah
Journal of Infection Prevention, 13(1) (pp. 11-15)
A quality of life measure for limb lymphoedema (LYMQOL) (2010)
Keeley, Vaughan; Crooks, Sue; Locke, Jane; Veigas, Debbie; Riches, Katie and Hilliam, Rachel
Journal of Lymphoedema, 5(1) (pp. 26-37)
A randomised controlled trial to compare postoperative pain in children undergoing tonsillectomy using cold steel dissection with bipolar heamostasis versus coblation technique (2009)
Parker, D.; Howe, L.; Unsworth, V. and Hilliam, R.
Clinical Otolaryngology, 34(3) (pp. 225-231)
Analysis of rewarming curves in Raynaud's phenomenon of various aetiologies (2009)
Salem, K. M.; Baker, M.; Hilliam, R. M.; Davies, S.; Deighton, C.; Bainbridge, L. C. and Manning, G.
Journal of Hand Surgery (European Volume), 34(5) (pp. 621-626)
Can a normal range of elbow movement predict a normalelbow x ray? (2007-02)
Lennon, Robert; Riyat, Manjeet S.; Hilliam, Rachel; Anathkrishnan, G. and Alderson, Gerry
Emergency Medicine Journal, 24(2) (pp. 86-88)
Statistical discrimination in the presence of selection effects (2005-04-30)
Hilliam, R. M.
Statistics in Medicine, 24(8) (pp. 1219-1232)
Chaos communication synchronization: Combatting noise by distribution transformation (2005-01)
Hilliam, Rachel M and Lawrance, Anthony J
Statistics and Computing, 15(1) (pp. 43-52)
The dynamics and statistics of bivariate chaotic maps in communications modeling (2004-04)
Hilliam, Rachel M. and Lawrance, Anthony J.
International Journal of Bifurcation and Chaos (IJBC), 14(4) (pp. 1177-1194)
Reducing the effect of noise on chaos synchronization without capping (2002-10-07)
Hilliam, Rachel and Lawrance, Anthony
In : International Symposium on Nonlinear Theory and its Applications (Oct 7-11, Xi'an, China)
A statistical perspective on the dynamics of bivariate chaotic maps for communications modelling (2001-10-28)
Hilliam, Rachel and Lawrance, Anthony
In : 2001 International Symposium on Nonlines Theory and its Applications (28 Oct - 1 Nov 2001, Miyagi, Japan)
Levine-Katz (Boston) Questionnaire analysis: means, medians or grouped totals? (2009-12)
Storey, Philip A.; Fakis, Apostolos; Hilliam, Rachel; Bradley, Mary J.; Lindau, Tommy and Burke, Frank D.