D. Reeves

First name
D.
Last name
Reeves
Springate, D. A., Ashcroft, D. M., Kontopantelis, E. ., Doran, T. ., Ryan, R. ., & Reeves, D. . (2015). Can analyses of electronic patient records be independently and externally validated? Study 2\textendashthe effect of beta-adrenoceptor blocker therapy on cancer survival: a retrospective cohort study. BMJ Open. http://doi.org/10.1136/bmjopen-2014-007299
Olier, I. ., Springate, D. A., Ashcroft, D. M., Doran, T. ., Reeves, D. ., Planner, C. ., … Kontopantelis, E. . (2016). Modelling Conditions and Health Care Processes in Electronic Health Records: An Application to Severe Mental Illness with the Clinical Practice Research Datalink. PLoS One. http://doi.org/10.1371/journal.pone.0146715
Kontopantelis, E. ., Springate, D. A., Ashcroft, D. M., Valderas, J. M., van der Veer, S. N., Reeves, D. ., … Doran, T. . (2016). Associations between exemption and survival outcomes in the UK\textquoterights primary care pay-for-performance programme: a retrospective cohort study. BMJ Qual Saf. http://doi.org/10.1136/bmjqs-2015-004602
Springate, D. A., Parisi, R. ., Olier, I. ., Reeves, D. ., & Kontopantelis, E. . (2017). rEHR: An R package for manipulating and analysing Electronic Health Record data. PLoS One. http://doi.org/10.1371/journal.pone.0171784
Kontopantelis, E. ., Parisi, R. ., Springate, D. A., & Reeves, D. . (2017). Longitudinal multiple imputation approaches for body mass index or other variables with very low individual-level variability: the mibmi command in Stata. BMC Res Notes. http://doi.org/10.1186/s13104-016-2365-z
Springate, D. A., Parisi, R. ., Kontopantelis, E. ., Reeves, D. ., Griffiths, C. E., & Ashcroft, D. M. (2017). Incidence, prevalence and mortality of patients with psoriasis: a U.K. population-based cohort study. Br J Dermatol. http://doi.org/10.1111/bjd.15021
Zghebi, S. S., Rutter, M. K., Ashcroft, D. M., Salisbury, C. ., Mallen, C. ., Chew-Graham, C. A., … Kontopantelis, E. . (2018). Using electronic health records to quantify and stratify the severity of type 2 diabetes in primary care in England: rationale and cohort study design. BMJ Open. http://doi.org/10.1136/bmjopen-2017-020926
Nowakowska, M. ., Zghebi, S. S., Ashcroft, D. M., Buchan, I. ., Chew-Graham, C. ., Holt, T. ., … Kontopantelis, E. . (2019). The comorbidity burden of type 2 diabetes mellitus: patterns, clusters and predictions from a large English primary care cohort. BMC Med. http://doi.org/10.1186/s12916-019-1373-y
Ravindrarajah, R. ., Reeves, D. ., Howarth, E. ., Meacock, R. ., Soiland-Reyes, C. ., Cotterill, S. ., … Kontopantelis, E. . (2020). Epidemiology and determinants of non-diabetic hyperglycaemia and its conversion to type 2 diabetes mellitus, 2000-2015: cohort population study using UK electronic health records. BMJ Open. http://doi.org/10.1136/bmjopen-2020-040201
Zghebi, S. S., Mamas, M. A., Ashcroft, D. M., Salisbury, C. ., Mallen, C. D., Chew-Graham, C. A., … Kontopantelis, E. . (2020). Development and validation of the DIabetes Severity SCOre (DISSCO) in 139 626 individuals with type 2 diabetes: a retrospective cohort study. BMJ Open Diabetes Res Care. http://doi.org/10.1136/bmjdrc-2019-000962