Wider evidence landscape: How are statistics valued and used in the wider evidence landscape, such as in comparison to privately produced statistics, anecdotal evidence or management information, and what influences this? What sets official statistics apart within the wider evidence landscape, how well is this understood, and how does this influence confidence in them, their use and how they are valued?

Background

To deliver against our vision of statistics that serve the public good, in OSR we describe our work under the headings of how statistics are produced, how they are used, and how they are valued. However, in practice it is natural that elements of our work and interests cut across all of these three areas. Some of the questions we are interested in span multiple areas of our mission (how statistics are produced, used and valued).

Next steps

If you would like to share evidence or collaborate with us on any of these areas, please contact us at research.function@statistics.gov.uk.

Source

This question was published as part of the set of ARIs in this document:

Cross cutting interests Office for Statistics Regulations Areas of Research Interest Office for Statistics Regulation

Related UKRI funded projects

  • Statistics and Econometrics Methodology

    (around 200 words – max. 1,500 characters including spaces) We are trying to develop statistical methods to help medical researchers in their search for causes of disease. A lot of medical research involves gathering dat...

    Funded by: MRC

    Lead research organisation: University of Bristol

    Why might this be relevant?

    The project is focused on statistical methods in medical research, but does not address the valuation and use of statistics in the wider evidence landscape.

  • ROBEST: Ensuring robustness of evidence in public health research for increased policy impact: widened use of advanced causal inference techniques

    Coherent and effective public health policies rest on reliable evidence, such that researchers are able to identify, demonstrate, and raise awareness for a need for change, as well as measure the causal effect of propose...

    Funded by: MRC

    Lead research organisation: London Sch of Hygiene and Trop Medicine

    Why might this be relevant?

    The project discusses the use of robust statistical methodology in public health research and policy impact, partially addressing the question about the use and value of statistics.

  • Bias-adjusted inference in Biostatistics

    Advancements in medical practice must be evidence based. For example, new treatments for diseases (such as lung cancer) must be proven effective before being licensed and, equally, modifiable exposures (such as smoking) ...

    Funded by: MRC

    Lead research organisation: University of Bristol

    Why might this be relevant?

    The project discusses the importance of evidence-based advancements in medical practice and the potential biases in data, partially addressing the question about the use and value of statistics.

  • Rigorous Training in Longitudinal Data Science (RADIANCE)

    We live in a world where data are collected on nearly everything we do. Such information has the potential to be extremely useful if we wish to improve our health. However, doing this safely is not easy. There are many ...

    Funded by: UKRI

    Lead research organisation: University College London

  • Bayesian methods, health technology assessment, and performance monitoring

    Modern health care involves a large amount of data, not all of which is of high quality or is wholly appropriate for the job in hand. Nevertheless, decisions still have to made, say about the approval of new treatments o...

    Funded by: MRC

    Lead research organisation: MRC Biostatistics Unit

  • Statistical Methodology Programme.

    The statistical methodology group in the CTU works to benefit the ongoing clinical research programmes and from March 2009 has formed part of the London Hub for Trials Methodology Research based at CTU. This includes inp...

    Funded by: MRC

    Lead research organisation: University College London

  • Quantitative methods for the assessment of systematic error in observational studies: improving causal research

    Results from epidemiological studies often appear contradictory, leading to some cynicism regarding medical research among the general public. Many of these contradictions might be avoided if the true extent of the uncer...

    Funded by: MRC

    Lead research organisation: London Sch of Hygiene and Trop Medicine

  • Driving up the quality and relevance of research-based knowledge through the identification and use of core outcomes: the COMET Initiative

    People doing clinical trials and other types of health research often struggle when trying to choose the outcomes to measure which would be of most use to the patients, practitioners and policy makers who will use their ...

    Funded by: MRC

    Lead research organisation: University of Liverpool

  • Multi-parameter Evidence Synthesis

    It is essential that treatment recommendations and public health policy decisions made by the Department of Health and the NHS are able to attract widespread support. This requires that the methodology used to reach deci...

    Funded by: MRC

    Lead research organisation: MRC Health Services Resrch Collaboration

  • MRC/NIHR guidance on Natural Experimental Evaluations (NEEs) for researchers and End-Users

    Natural experiments are observational studies where the investigator does not interfere. The researchers usually collect data to inform interventions and policies. However, these are complex studies to manage and new app...

    Funded by: MRC

    Lead research organisation: University of Glasgow

Similar ARIs from other organisations

Maximising the impact of data and research What are the alternative data sources, from outside government, that would help DLUHC answer any of the questions outlined in this ARI document? What is the evidence that these sources can provide additional value? Department for Levelling Up, Housing and Communities, 2022
See details
Maximising the impact of data and research What could government do additionally, or differently, to facilitate increased use of its data, and longer-term monitoring of trends? Department for Levelling Up, Housing and Communities, 2022
See details