Briggs A, Sculpher M, Claxton K. Decision modelling for health economic evaluation: Oup Oxford; 2006.

Willan AR, Pinto EM. The value of information and optimal clinical trial design. Stat Med. 2005;24(12):1791–806.

Article  PubMed  Google Scholar 

Claxton K, Griffin S, Koffijberg H, McKenna C. How to estimate the health benefits of additional research and changing clinical practice. Bmj. 2015;351:h5987.

Fenwick E, Steuten L, Knies S, Ghabri S, Basu A, Murray JF, et al. Value of information analysis for research decisions—an introduction: report 1 of the ISPOR Value of Information Analysis Emerging Good Practices Task Force. Value in Health. 2020;23(2):139–50.

Article  PubMed  Google Scholar 

Rothery C, Strong M, Koffijberg HE, Basu A, Ghabri S, Knies S, et al. Value of information analytical methods: report 2 of the ISPOR Value of Information Analysis Emerging Good Practices Task Force. Value Health. 2020;23(3):277–86.

Article  PubMed  PubMed Central  Google Scholar 

Raiffa H, Schlaifer R. Applied statistical decision theory. Wiley; 2000.

Google Scholar 

Thompson MS. Decision-analytic determination of study size: the case of electronic fetal monitoring. Med Decis Making. 1981;1(2):165–79.

Article  CAS  PubMed  Google Scholar 

Claxton K. The irrelevance of inference: a decision-making approach to the stochastic evaluation of health care technologies. J Health Econ. 1999;18(3):341–64.

Article  CAS  PubMed  Google Scholar 

Brennan A, Chick SE, Davies R. A taxonomy of model structures for economic evaluation of health technologies. Health Econ. 2006;15(12):1295–310.

Article  PubMed  Google Scholar 

Kunst N, Wilson EC, Glynn D, Alarid-Escudero F, Baio G, Brennan A, et al. Computing the expected value of sample information efficiently: practical guidance and recommendations for four model-based methods. Value in Health. 2020;23(6):734–42.

Article  PubMed  PubMed Central  Google Scholar 

Strong M, Oakley JE, Brennan A, Breeze P. Estimating the expected value of sample information using the probabilistic sensitivity analysis sample: a fast nonparametric regression-based method. Med Decis Making. 2015;35(5):570–83.

Article  PubMed  PubMed Central  Google Scholar 

Bennette CS, Veenstra DL, Basu A, Baker LH, Ramsey SD, Carlson JJ. Development and evaluation of an approach to using value of information analyses for real-time prioritization decisions within SWOG, a large cancer clinical trials cooperative group. Med Decis Making. 2016;36(5):641–51.

Article  PubMed  PubMed Central  Google Scholar 

Carlson JJ, Kim DD, Guzauskas GF, Bennette CS, Veenstra DL, Basu A, et al. Integrating value of research into NCI Clinical Trials Cooperative Group research review and prioritization: a pilot study. Cancer Med. 2018;7(9):4251–60.

Article  PubMed  PubMed Central  Google Scholar 

Meltzer DO, Hoomans T, Chung JW, Basu A. Minimal modeling approaches to value of information analysis for health research. Med Decis Making. 2011;31(6):E1–22.

Article  PubMed  Google Scholar 

McKenna C, Griffin S, Koffijberg H, Claxton K. Methods to place a value on additional evidence are illustrated using a case study of corticosteroids after traumatic brain injury. J Clin Epidemiol. 2016;70:183–90.

Article  PubMed  Google Scholar 

Kunst NR, Alarid-Escudero F, Paltiel AD, Wang SY. A Value of information analysis of research on the 21-gene assay for breast cancer management. Value Health. 2019;22(10):1102–10.

Article  PubMed  PubMed Central  Google Scholar 

Jackson C, Presanis A, Conti S, De Angelis D. Value of information: Sensitivity analysis and research design in Bayesian evidence synthesis. J Am Stat Assoc. 2019;114(528):1436–1449.

Tuffaha HW, Gordon LG, Scuffham PA. Value of information analysis informing adoption and research decisions in a portfolio of health care interventions. MDM Policy Pract. 2016;1(1):2381468316642238.

PubMed  PubMed Central  Google Scholar 

O'Hagan A, Buck CE, Daneshkhah A, Eiser JR, Garthwaite PH, Jenkinson DJ, et al. Uncertain judgements: eliciting experts' probabilities. 2006.

Glynn D, Nikolaidis G, Jankovic D, Welton NJ. Constructing relative effect priors for research prioritization and trial design: a meta-epidemiological analysis. Med Decis Making. 2023;43(5):553–563. https://doi.org/10.1177/0272989X231165985

McKenna C, Soares M, Claxton K, Bojke L, Griffin S, Palmer S, Spackman E. Unifying research and reimbursement decisions: case studies demonstrating the sequence of assessment and judgments required. Value Health. 2015;18(6):865–75.

Article  PubMed  Google Scholar 

Philips Z, Claxton K, Palmer S. The half-life of truth: what are appropriate time horizons for research decisions? Med Decis Making. 2008;28(3):287–99.

Article  PubMed  Google Scholar 

Bojke L, Claxton K, Sculpher M, Palmer S. Characterizing structural uncertainty in decision analytic models: a review and application of methods. Value in Health. 2009;12(5):739–49.

Article  PubMed  Google Scholar 

NIHR. Funding award. Clinical and cost-effectiveness of early patient-directed rehabilitation versus standard rehabilitation after surgical repair of the rotator cuff of the shoulder: a multi-centre, randomised controlled trial with integrated Quintet Recruitment Intervention (RaCeR 2): National Institute for Health and Care Research (NIHR); 2022. https://fundingawards.nihr.ac.uk/award/NIHR133874. Accessed 1 May 2024

Roach KE, Budiman-Mak E, Songsiridej N, Lertratanakul Y. Development of a shoulder pain and disability index. Arthritis Rheum. 1991;4(4):143–9.

Article  CAS  Google Scholar 

Littlewood C, Bateman M, Butler-Walley S, Bathers S, Bromley K, Lewis M, et al. Rehabilitation following rotator cuff repair: a multi-centre pilot & feasibility randomised controlled trial (RaCeR). Clin Rehabil. 2021;35(6):829–39.

Article  PubMed  Google Scholar 

NHS Digital. Hospital Admitted Patient Care Activity 2018-19. In: statistics N, editor. 2019.

Ramponi F, Walker S, Griffin S, Parrott S, Drummond C, Deluca P, et al. Cost-effectiveness analysis of public health interventions with impacts on health and criminal justice: An applied cross-sectoral analysis of an alcohol misuse intervention. Health Econ. 2021;30(5):972–88.

Article  PubMed  Google Scholar 

Walker S, Griffin S, Asaria M, Tsuchiya A, Sculpher M. Striving for a societal perspective: a framework for economic evaluations when costs and effects fall on multiple sectors and decision makers. Appl Health Econ Health Policy. 2019;17(5):577–90.

Article  PubMed  PubMed Central  Google Scholar 

Hernán MA, Wang W, Leaf DE. Target trial emulation: a framework for causal inference from observational data. JAMA. 2022;328(24):2446–7.

Article  PubMed  Google Scholar 

Westreich D, Edwards JK, Lesko CR, Stuart E, Cole SR. Transportability of trial results using inverse odds of sampling weights. Am J Epidemiol. 2017;186(8):1010–4.

Article  PubMed  PubMed Central  Google Scholar 

Heath A, Strong M, Glynn D, Kunst N, Welton NJ, Goldhaber-Fiebert JD. Simulating study data to support expected value of sample information calculations: a tutorial. Med Decis Making. 2022;42(2):143–55.

Article  PubMed  Google Scholar 

Conti S, Claxton K. Dimensions of design space: a decision-theoretic approach to optimal research design. Med Decis Making. 2009;29(6):643–60.

Article  PubMed  Google Scholar 

Flight L, Julious S, Brennan A, Todd S. Expected value of sample information to guide the design of group sequential clinical trials. Med Decis Making. 2021;42(4):461–73.

Article  PubMed  PubMed Central  Google Scholar 

Fairley M, Cipriano LE, Goldhaber-Fiebert JD. Optimal allocation of research funds under a budget constraint. Med Decis Making. 2020;40(6):797–814.

Article  PubMed  Google Scholar