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Rogers, JK; Hutton, JL; (2013) Joint modelling of pre-randomisation event counts and multiple post-randomisation survival times with cure rates: application to data for early epilepsy and single seizures. Journal of applied statistics, 40 (3). pp. 546-562. ISSN 0266-4763 DOI: https://doi.org/10.1080/02664763.2012.748720 Full text not available from this repository.

Rubio, FJ; Yu, KM; (2016) Flexible objective Bayesian linear regression with applications in survival analysis. Journal of applied statistics, 44 (5). pp. 798-810. ISSN 0266-4763 DOI: https://doi.org/10.1080/02664763.2016.1182138

Verzilli, CJ; Carpenter, JR; (2002) A Monte Carlo EM algorithm for random-coefficient-based dropout models. Journal of applied statistics, 29 (7). pp. 1011-1021. ISSN 0266-4763 DOI: https://doi.org/10.1080/0266476022000006711 Full text not available from this repository.

Wang, DL; Lertsithichai, P; Nanchahal, K; Yousufuddin, M; (2003) Risk factors of coronary heart disease: a Bayesian model averaging approach. Journal of applied statistics, 30 (7). pp. 813-826. ISSN 0266-4763 DOI: https://doi.org/10.1080/0266476032000076074 Full text not available from this repository.

Wang, DL; Lu, PJ; (2005) Modelling and forecasting mortality distributions in England and wales using the Lee-Carter model. Journal of applied statistics, 32 (9). pp. 873-885. ISSN 0266-4763 DOI: https://doi.org/10.1080/02664760500163441 Full text not available from this repository.

Wang, DL; Murphy, M; (2005) Identifying nonlinear relationships in regression using the ACE algorithm. Journal of applied statistics, 32 (3). pp. 243-258. ISSN 0266-4763 DOI: https://doi.org/10.1080/02664760500054517 Full text not available from this repository.