Association between respiratory prescribing, air pollution and deprivation, in primary health care

Sofianopoulou, E., Rushton, S. P., Diggle, P. J. & Pless-Mulloli, T., 12/2013, In: Journal of Public Health. 35, 4, p. 502-509 8 p.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Audio-based AI classifiers show no evidence of improved COVID-19 screening over simple symptoms checkers

Coppock, H., Nicholson, G., Kiskin, I., Koutra, V., Baker, K., Budd, J., Payne, R., Karoune, E., Hurley, D., Titcomb, A., Egglestone, S., Tendero Cañadas, A., Butler, L., Jersakova, R., Mellor, J., Patel, S., Thornley, T., Diggle, P., Richardson, S., Packham, J., & 5 othersSchuller, B. W., Pigoli, D., Gilmour, S., Roberts, S. & Holmes, C., 7/02/2024, In: Nature Machine Intelligence. 6, p. 229-242 14 p.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Authors' reply to the discussion of ‘Efficient Bayesian Inference of Instantaneous Reproduction Numbers at Fine Spatial Scales, with an Application to Mapping and Nowcasting the Covid‐19 Epidemic in British Local Authorities’ by Teh et al. in Session 2 of the Royal Statistical Society's Special Topic Meeting on <scp>COVID</scp> ‐19 transmission: 11 June 2021

Teh, Y. W., Elesedy, B., He, B., Hutchinson, M., Zaidi, S., Bhoopchand, A., Paquet, U., Tomasev, N., Read, J. & Diggle, P. J., 30/11/2022, In: Journal of the Royal Statistical Society: Series A Statistics in Society. 185, S1, p. S107-S109 3 p.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Bayesian Estimation and Prediction for Inhomogeneous Spatiotemporal Log-Gaussian Cox Processes Using Low-Rank Models, With Application to Criminal Surveillance

Rodrigues, A. & Diggle, P. J., 03/2012, In: Journal of the American Statistical Association. 107, 497, p. 93-101 9 p.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Bayesian inference and data augmentation schemes for spatial, spatiotemporal and multivariate Log-Gaussian Cox processes in R

Taylor, B., Davies, T., Rowlingson, B. & Diggle, P., 10/02/2015, In: Journal of Statistical Software. 63, p. 1-48 48 p., 7.

Research output: Contribution to Journal/Magazine › Special issue › peer-review

Bayesian inference in Gaussian model-based geostatistics.

Diggle, P. J. & Ribeiro Jr, P. J., 11/2002, In: Geographical and Environmental Modelling. 6, 2, p. 129-146 18 p.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Bayesian methodology to stochastic capture zone determination : conditioning on transmissivity measurements.

Feyen, L., Ribeiro Jr, P. J., De Smedt, F. & Diggle, P., 2002, In: Water Resources Research. 38, 9, p. 1164-

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Biomarkers for knee osteoarthritis: new technologies, new paradigms

Spain, L., Rajoub, B., Schlueter, D. K., Waterton, J., Bowes, M., Shark, L-K., Diggle, P. & Goodacre, J., 10/2015, In: International Journal of Clinical Rheumatology. 10, 4, p. 287-297 11 p.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Bivariate binomial spatial modelling of Loa loa prevalence in tropical Africa

Crainiceanu, C., Diggle, P. J. & Rowlingson, B. S., 2008, In: Journal of the American Statistical Association. 103, 481, p. 21-37 17 p.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Bivariate geostatistical modelling of the relationship between Loa loa prevalence and intensity of infection

Giorgi, E., Schlüter, D. K. & Diggle, P. J., 24/05/2017, (E-pub ahead of print) In: Environmetrics. 10 p.

Research output: Contribution to Journal/Magazine › Journal article › peer-review