21. A Bayesian Parametric Approach to Handle Missing Longitudinal Outcome Data in Trial-based Health Economic Evaluations. (26th September 2019) Authors: Gabrio, Andrea; Daniels, Michael J.; Baio, Gianluca Journal: Journal of the Royal Statistical Society Issue: Volume 183:Number 2(2020) Page Start: 607 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
22. A Bayesian parametric approach to handle missing longitudinal outcome data in trial‐based health economic evaluations. (26th September 2019) Authors: Gabrio, Andrea; Daniels, Michael J.; Baio, Gianluca Journal: Journal of the Royal Statistical Society Issue: Volume 183:Number 2(2020) Page Start: 607 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
23. A Bayesian Quantile Regression Model for Insurance Company Costs Data. (3rd March 2015) Authors: Sriram, Karthik; Shi, Peng; Ghosh, Pulak Journal: Journal of the Royal Statistical Society Issue: Volume 179:Number 1(2016:Jan.) Page Start: 177 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
24. A Bayesian quantile regression model for insurance company costs data. (3rd March 2015) Authors: Sriram, Karthik; Shi, Peng; Ghosh, Pulak Journal: Journal of the Royal Statistical Society Issue: Volume 179:Number 1(2016:Jan.) Page Start: 177 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
25. A Bayesian Semiparametric Approach for Trend–Seasonal Interaction: an Application to Migration Forecasts. (14th December 2018) Authors: Milivinti, Alice; Benini, Giacomo Journal: Journal of the Royal Statistical Society Issue: Volume 182:Number 3(2019) Page Start: 805 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
26. A Bayesian semiparametric approach for trend–seasonal interaction: an application to migration forecasts. (14th December 2018) Authors: Milivinti, Alice; Benini, Giacomo Journal: Journal of the Royal Statistical Society Issue: Volume 182:Number 3(2019) Page Start: 805 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
27. A Bayesian spatial categorical model for prediction to overlapping geographical areas in sample surveys. (25th November 2019) Authors: Shuvo Bakar, K.; Biddle, Nicholas; Kokic, Philip; Jin, Huidong Journal: Journal of the Royal Statistical Society Issue: Volume 183:Number 2(2020) Page Start: 535 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
28. A Bayesian Spatial Categorical Model for Prediction to Overlapping Geographical Areas in Sample Surveys. (25th November 2019) Authors: Bakar, Shuvo K.; Biddle, Nicholas; Kokic, Philip; Jin, Huidong Journal: Journal of the Royal Statistical Society Issue: Volume 183:Number 2(2020) Page Start: 535 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
29. A Bayesian Spatiotemporal Model to Estimate Long-Term Exposure to Outdoor Air Pollution at Coarser Administrative Geographies in England and Wales. (29th June 2017) Authors: Mukhopadhyay, Sabyasachi; Sahu, Sujit K. Journal: Journal of the Royal Statistical Society Issue: Volume 181:Number 2(2018) Page Start: 465 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
30. A Bayesian spatiotemporal model to estimate long‐term exposure to outdoor air pollution at coarser administrative geographies in England and Wales. (29th June 2017) Authors: Mukhopadhyay, Sabyasachi; Sahu, Sujit K. Journal: Journal of the Royal Statistical Society Issue: Volume 181:Number 2(2018) Page Start: 465 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗