Bayesian analysis in expert systems by Spiegelhalter, D, Dawid, A, Lauritzen, S, Cowell, R

Machine learning, neural and statistical classification / by Michie, Donald, Spiegelhalter, D. J., Taylor, C. C.

Reported use of data monitoring committees in the main published reports of randomized controlled trials: a cross-sectional study. by Sydes, MR, Altman, D, Babiker, AB, Parmar, M, Spiegelhalter, D

Bayesian stopping rules for trials - Reply by Parmar, M, Spiegelhalter, D, Griffiths, G, Altman, D, Souhami, R

Systematic qualitative review of the literature on data monitoring committees for randomized controlled trials. by Sydes, MR, Spiegelhalter, D, Altman, D, Babiker, AB, Parmar, M

Communicating risk in primary care: what the Academy of Medical Sciences' report means in practice by Freeman, A, Marshall, M, Treadwell, J, Spiegelhalter, D, Rafi, I

Fairness of financial penalties to improve control of Clostridium difficile. by Walker, A, Spiegelhalter, D, Crook, D, Wyllie, D, Morris, J, Peto, T

Fairness of financial penalties to improve control of Clostridium difficile. by Walker, A, Spiegelhalter, D, Crook, D, Wyllie, D, Morris, J, Peto, T

Bayesian approaches to clinical trials and health care evaluation / by 378957 Spiegelhalter, D. J., Abrams, K. R. (Keith R.), Myles, Jonathan P.

Monitoring of large randomised clinical trials: a new approach with Bayesian methods. by Parmar, M, Griffiths, G, Spiegelhalter, D, Souhami, R, Altman, D, van der Scheuren, E

Efficacy of a theory-based behavioural intervention to increase physical activity in an at-risk group in primary care (ProActive UK): a randomised trial. by Kinmonth, A, Wareham, N, Hardeman, W, Sutton, S, Prevost, A, Fanshawe, T, Williams, K, Ekelund, U, Spiegelhalter, D, Griffin, S

Cancer Drugs Fund requires further reform by Grieve, R, Abrams, K, Claxton, K, Goldacre, B, James, N, Nicholl, J, Parmar, M, Parker, C, Sekhon, J, Smeeth, L, Spiegelhalter, D, Sculpher, M

Issues in data monitoring and interim analysis of trials. by Grant, A, Altman, D, Babiker, AB, Campbell, M, Clemens, F, Darbyshire, J, Elbourne, DR, McLeer, S, Parmar, M, Pocock, S, Spiegelhalter, D, Sydes, MR, Walker, A, Wallace, SA

Living risk prediction algorithm (QCOVID) for risk of hospital admission and mortality from coronavirus 19 in adults: national derivation and validation cohort study by Clift, AK, Coupland, CAC, Keogh, RH, Diaz-Ordaz, K, Williamson, E, Harrison, EM, Hayward, A, Hemingway, H, Horby, P, Mehta, N, Benger, J, Khunti, K, Spiegelhalter, D, Sheikh, A, Valabhji, J, Lyons, RA, Robson, J, Semple, MG, Kee, F, Johnson, P, Jebb, S, Williams, T, Hippisley-Cox, J

A collaboratively-derived science-policy research agenda by Sutherland, W, Bellingan, L, Bellingham, JR, Blackstock, J, Bloomfield, R, Bravo, M, Cadman, V, Cleevely, D, Clements, A, Cohen, A, Cope, DR, Daemmrich, A, Devecchi, C, Anadon, L, Denegri, S, Doubleday, R, Dusic, N, Evans, R, Feng, W, Godfray, H, Harris, P, Hartley, SE, Hester, A, Holmes, J, Hughes, A, Hulme, M, Irwin, C, Jennings, R, Kass, G, Littlejohns, P, Marteau, T, McKee, G, Millstone, E, Nuttall, W, Owens, S, Parker, M, Pearson, S, Petts, J, Ploszek, R, Pullin, A, Reid, G, Richards, K, Robinson, J, Shaxson, L, Sierra, L, Smith, BG, Spiegelhalter, D, Stilgoe, J, Stirling, A, Tyler, C, Winickoff, D, Zimmern, R