Kate Tilling

Last updated
Kate Tilling
Born
Edinburgh, Scotland
CitizenshipBritish
Education University of London PhD 1999
Scientific career
Fields Epidemiology
Statistics
Institutions
Thesis Statistical methods to study the incidence and outcome of stroke  (1999)

Kate Tilling is a British statistician who specialises in developing and applying statistical methods to overcome problems encountered in epidemiological research. Tilling has been a professor in medical statistics. [1] in population health sciences within Bristol Medical School (previously the School of Social and Community Medicine), University of Bristol, since 2011. She joined the University of Bristol in 2002 as a Senior Lecturer, following nine years as a lecturer at King's College London.

Contents

Tilling leads a programme of research within the Medical Research Council (MRC) Integrative Epidemiology Unit in Bristol [2] and co-leads the effectiveness theme within the NIHR CLAHRC West [3] (Collaboration for Leadership in Applied Health Research and Care West), which focus on novel statistical methods for understanding causal relationships in health research.

Tilling is a member of the MRC Methodology Research Panel [4] and the MRC Cohort Strategy Group. [5]

Education

In 1991, Tilling received a first-class BSc with honours in mathematics from the University of Warwick. [6] She received her MSc in Applied Statistics at the University of Oxford the following year. [6] In 1999, Tilling received a PhD from the University of London (King's College). Her thesis was entitled Statistical methods to study the incidence and outcome of stroke. [7]

Research

After receiving her PhD, Tilling joined the Department of Public Health Sciences, King's College London as a lecturer in medical statistics in 1993. [6] In 1999, Tilling spent time in the US as a postdoctoral fellow in chronic disease epidemiology at Johns Hopkins University School of Hygiene & Public Health. [7] Tilling moved to the School of Social and Community Medicine at the University of Bristol in 2002 where she was appointed as senior lecturer and then reader in medical statistics. [6] Tilling was promoted to professor of medical statistics in 2011.

Tilling's research focuses on developing and applying statistical methods to overcome issues encountered in epidemiological and health services research. [1] One of her key interests is in modelling time-varying exposures and outcomes. Tilling has previously received funding from the MRC to develop methods for analysing time-varying data within an epigenetic setting, and funding from the NIHR to develop and apply longitudinal methods to model prostate-specific antigen (PSA) in prostate cancer, and to model progression in multiple sclerosis. She collaborates with colleagues to examine changes over time in a variety of health behaviours and outcomes, particularly during pregnancy, and childhood and adolescence, using data from the Avon Longitudinal Study of Parents and Children (ALSPAC). Tilling also has an interest in developing methods to deal with missing data and selection bias and has received funding from the MRC to develop methods for longitudinal missing data.

Within the MRC Integrative Epidemiology Unit, Tilling leads a programme of work on Statistical Methods for Improving Causal Inference. [2] The aim of the programme is to develop methods for causal inference that are robust to missing data and can investigate change over time. These methods will enable researchers using complex observational data to draw unbiased conclusions about real world problems.

Tilling co-leads the effectiveness theme of the NIHR CLAHRC West along with Tim Peters. [3] [8] The effectiveness team uses large volumes of data in order to understand patterns in health and service use.

Related Research Articles

<span class="mw-page-title-main">Medical Research Council (United Kingdom)</span> National medical research agency

The Medical Research Council (MRC) is responsible for co-coordinating and funding medical research in the United Kingdom. It is part of United Kingdom Research and Innovation (UKRI), which came into operation 1 April 2018, and brings together the UK's seven research councils, Innovate UK and Research England. UK Research and Innovation is answerable to, although politically independent from, the Department for Business, Energy and Industrial Strategy.

<span class="mw-page-title-main">Institute of Psychiatry, Psychology and Neuroscience</span> Research institution in London, England

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<span class="mw-page-title-main">Confounding</span> Variable or factor in causal inference

In causal inference, a confounder is a variable that influences both the dependent variable and independent variable, causing a spurious association. Confounding is a causal concept, and as such, cannot be described in terms of correlations or associations. The existence of confounders is an important quantitative explanation why correlation does not imply causation. Some notations are explicitly designed to identify the existence, possible existence, or non-existence of confounders in causal relationships between elements of a system.

Health services research (HSR) became a burgeoning field in North America in the 1960s, when scientific information and policy deliberation began to coalesce. Sometimes also referred to as health systems research or health policy and systems research (HPSR), HSR is a multidisciplinary scientific field that examines how people get access to health care practitioners and health care services, how much care costs, and what happens to patients as a result of this care. HSR utilizes all qualitative and quantitative methods across the board to ask questions of the healthcare system. It focuses on performance, quality, effectiveness and efficiency of health care services as they relate to health problems of individuals and populations, as well as health care systems and addresses wide-ranging topics of structure, processes, and organization of health care services; their use and people's access to services; efficiency and effectiveness of health care services; the quality of healthcare services and its relationship to health status, and; the uses of medical knowledge.

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References

  1. 1 2 "Professor Kate Tilling - School of Social and Community Medicine". Bristol.ac.uk.
  2. 1 2 "Statistical methods - MRC Integrative Epidemiology Unit - University of Bristol". Bristol.ac.uk.
  3. 1 2 "Professor Kate Tilling". Clahrc-west.nihr.ac.uk.
  4. Medical Research Council, M. R. C. (1 April 2019). "Methodology Research Programme Panel". Mrc.ukri.org. Retrieved 16 June 2019.
  5. Medical Research Council, M. R. C. (7 December 2018). "Cohort Strategic Review Group". Mrc.ukri.org.
  6. 1 2 3 4 "Prof. Kate Tilling - AcademiaNet". Academia-net.org.
  7. 1 2 "CURRICULUM VITAE ~ DR KATE TILLING" (PDF). Metabolic-programming.org. Retrieved 16 June 2019.
  8. "Research and implementation". Clahrc-west.nihr.ac.uk.