Alice Sitch MSc, BSc (Hons), GradStat

Research Fellow

Public Health, Epidemiology and Biostatistics


Contact details

Public Health, Epidemiology and Biostatistics
Public Health Building
School of Health and Population Sciences
College of Medical and Dental Sciences
University of Birmingham
B15 2TT


Alice Sitch is a Research Fellow working in the department of Public Health, Epidemiology and Biostatistics. Alice is a member of the Biostatistics team, led by Professor Jon Deeks.

Since joining the University in October 2009, Alice has become involved in many exciting projects allowing her to collaborate with others in the Biostatistics team and many other researchers at Birmingham University and beyond.

Alice is a front line advisor for the Research Design Service and has teaching responsibilities related to various courses within the School.


  • Professional Fellow of the Royal Statistical Society, 2009
  • MSc in Statistics, University of Sheffield, 2009
  • BSc (Hons) in Mathematics, University of Sheffield, 2008


Alice entered higher education at the University of Sheffield in September 2005. After graduating with a BSc (Hons) in 2008, Alice chose to deviate from pure mathematics and completed an MSc in Statistics in 2009. After developing an interest in Medical Statistics throughout her studies in Sheffield, Alice began working for the Biostatistics group within the department of Public Health, Epidemiology and Biostatistics at the University of Birmingham as a Research Fellow in October 2009.

Alice has been involved in a myriad of exciting research projects. Her work is diverse, covering methodological problems, test research and a variety of public health issues.

In her role as a front line advisor for the Research Design Service, Alice offers specialist statistical advice to researchers in the local area looking to obtain funding, particularly NHS researchers. As an FLA, Alice is exposed to many different types of statistical problems and challenges.

Alice enjoys teaching and interacting with students, with her responsibilities spanning many courses. Predominately, her teaching duties involve communicating statistical ideas to a non-statistical audience. Alice is involved with teaching both undergraduate and postgraduate students.



Alice is involved with the test research carried out by the Biostatistics group. Alice is involved in the methodology work stream of the NIHR programme grant ‘Evaluating the benefits for patients and the NHS of new and existing biological fluid biomarkers in liver and renal disease’, where she is working on a simulation project, striving to identify an optimal monitoring strategy. Alice is also working, along with Jon Deeks, as the trial statistician for the NIHR HTA programme grant ‘Prognostic Value of Interferon Gamma Release Assays in predicting active tuberculosis among individuals with, or at risk of, latent tuberculosis infection' (PREDICT) and an HTA funded monitoring study 'Accuracy of glomerular filtration rate (GFR) estimation using creatinine and cystatin C and albuminuria for monitoring disease progression in patients with stage 3 chronic kidney disease: prospective longitudinal study in a multi-ethnic population' (eGFR-C).

Alice has been involved, and continues to be involved, in methodological research with other members of the Biostatistics group. At present, this research has primarily focused on cluster sample size calculations.

Through collaboration with other members of the department, Alice has been part of many public health projects. The main themes for this ongoing work are: obesity in school aged children, medical student population diversity, TB culture confirmation and the evaluation of health care interventions.


Lamb EJ, Brettell EA, Cockwell P, Dalton N, Deeks JJ, Harris K, Higgins T, Kalra PA, Khunti K, Loud F, Ottridge RS, Sharpe CC, Sitch AJ, Stevens PE, Sutton AJ, Taal MW; eGFR-C study group, (2014), The eGFR-C study: accuracy of glomerular filtration rate (GFR) estimation using creatinine and cystatin C and albuminuria for monitoring disease progression in patients with stage 3 chronic kidney disease - prospective longitudinal study in a multiethnic population. BMC Nephrol.

Perkins K, Randall D, Toozs-Hobson P, Sitch A, Ismail KM, (2014), Hardiness and Outcome of Self-catheterisation Training (HOST): protocol for an observational study exploring the effects of personality traits in women on ability to learn clean intermittent self-catheterisation. BMJ Open.

Pallan MJ, Adab P, Sitch AJ, Aveyard P, (2013), Are school physical activity characteristics associated with weight status in primary school children? A multilevel cross-sectional analysis of routine surveillance data. Arch Dis Child.

Hayer KS, Sitch AJ, Dedicoat M, Wood AL, (2013), Culture confirmation of tuberculosis cases in Birmingham, UK. Scand J Infect Dis.

Ahmad A, Webb SS, Early B, Sitch A, Khan K, Macarthur C, (2013), The association between fetal position at the onset of labor and mode of delivery: a prospective cohort study. Ultrasound Obstet Gynecol.

Wheeler I, Price C, Sitch A, Banda P, Kellett J, Nyirenda M, Rylance J, (2013), Early warning scores generated in developed healthcare settings are not sufficient at predicting early mortality in Blantyre, Malawi: a prospective cohort study. PLoS One.

Frew EJ, Bhatti M, Win K, Sitch A, Lyon A, Pallan M, Adab P, (2012), Cost-effectiveness of a community-based physical activity programme for adults (Be Active) in the UK: an economic analysis within a natural experiment. Br J Sports Med.

Wright RL, Peters DM, Robinson PD, Sitch AJ, Watt TN, Hollands MA, (2012), Differences in axial segment reorientation during standing turns predict multiple falls in older adults. Gait Posture.

Hemming K, Girling AJ, Sitch AJ, Marsh J, Lilford RJ, (2011), Sample size calculations for cluster randomised controlled trials with a fixed number of clusters. BMC Med Res Methodol.

Mathers J, Sitch A, Marsh JL, Parry J, (2011), Widening access to medical education for under-represented socioeconomic groups: population based cross sectional analysis of UK data, 2002-6. BMJ.

Thomas M, Sitch A, Dowswell G, (2011), The initial development and assessment of an automatic alert warning of acute kidney injury. Nephrol Dial Transplant.

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