Projects per year
Organisation profile
Organisation profile
The Medical and Pharmaceutical Statistics (MPS) Research Unit develops and evaluates novel statistical methods of study design and data analysis for use in the pharmaceutical and medical research community. We work with partners in heath care, the public sector and pharmaceutical industry.
Research
The Unit exists to develop and evaluate novel statistical methods of study design and data analysis relevant to pharmaceutical companies and medical research institutes. We undertake methodological research, often in direct collaboration with companies, and provide professional development courses and a consultancy service.
Our main areas of research and expertise are:
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Anne Whitehead
- School Of Mathematical Sciences - Emeritus
- Medical and Pharmaceutical Statistics Research Unit - Honorary
Person: Honorary/Visiting
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John Whitehead
- School Of Mathematical Sciences - Emeritus
- Medical and Pharmaceutical Statistics Research Unit - Honorary
Person: Honorary/Visiting
Projects
- 6 Finished
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Developing and refining methods of analysing malaria genetic data obtained from infected human blood samples
Jaki, T. (Principal Investigator)
1/06/13 → 31/05/16
Project: Research
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Adaptive Designs for Multiple Ascending Dose Studies
Jaki, T. (Principal Investigator)
1/10/12 → 31/01/16
Project: Research
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Designing and analysing multi-arm multi stage clinical trials with one or more endpoints
Jaki, T. (Principal Investigator)
1/09/12 → 30/06/16
Project: Research
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A novel statistical test for treatment differences in clinical trials using a response‐adaptive forward‐looking Gittins Index Rule
Barnett, H. Y., Villar, S. S., Geys, H. & Jaki, T., 31/03/2023, In: Biometrics. 79, 1, p. 86-97 12 p.Research output: Contribution to Journal/Magazine › Journal article › peer-review
Open Access1 Citation (Scopus) -
Point estimation for adaptive trial designs I: A methodological review
Robertson, D. S., Choodari‐Oskooei, B., Dimairo, M., Flight, L., Pallmann, P. & Jaki, T., 30/01/2023, In: Statistics in Medicine. 42, 2, p. 122-145 24 p.Research output: Contribution to Journal/Magazine › Journal article › peer-review
Open Access -
Rare Disease Trials: Beyond the Randomised Controlled Trial
Jackson, H., 2023, Lancaster University. 237 p.Research output: Thesis › Doctoral Thesis
Open AccessFile119 Downloads (Pure)
Datasets
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What is the expected benefit of patient-centric clinical development in oncology?
Serra, A. (Creator), Mozgunov, P. (Creator), Jaki, T. (Creator) & Rigat, F. (Creator), Taylor & Francis, 2022
DOI: 10.6084/m9.figshare.20331501, https://tandf.figshare.com/articles/journal_contribution/What_is_the_expected_benefit_of_patient-centric_clinical_development_in_oncology_/20331501
Dataset
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Additional file 2 of Practical guidance for planning resources required to support publicly-funded adaptive clinical trials
Wason, J. M. S. (Creator), Dimairo, M. (Creator), Biggs, K. (Creator), Bowden, S. (Creator), Brown, J. (Creator), Flight, L. (Creator), Hall, J. (Creator), Jaki, T. (Creator), Lowe, R. (Creator), Pallmann, P. (Creator), Pilling, M. A. (Creator), Snowdon, C. (Creator), Sydes, M. R. (Creator), Villar, S. S. (Creator), Weir, C. J. (Creator), Wilson, N. (Creator), Yap, C. (Creator), Hancock, H. (Creator) & Maier, R. (Creator), Figshare, 2022
DOI: 10.6084/m9.figshare.20461965, https://springernature.figshare.com/articles/dataset/Additional_file_2_of_Practical_guidance_for_planning_resources_required_to_support_publicly-funded_adaptive_clinical_trials/20461965
Dataset
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The benefits of covariate adjustment for adaptive multi-arm designs
Lee, K. M. (Creator), Robertson, D. S. (Creator), Jaki, T. (Creator) & Emsley, R. (Creator), SAGE Journals, 2022
DOI: 10.25384/sage.c.6117723, https://sage.figshare.com/collections/The_benefits_of_covariate_adjustment_for_adaptive_multi-arm_designs/6117723 and one more link, https://sage.figshare.com/collections/The_benefits_of_covariate_adjustment_for_adaptive_multi-arm_designs/6117723/1 (show fewer)
Dataset