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Australian Health Review : a Publication of the Australian Hospital Association|January 23, 2003
Waiting time information services: how well do different statistics forecast a patient's wait?David A Cromwell, David A GriffithsThe Medical Journal of Australia|August 29, 2002
Surgery dot.com: the quality of information disseminated by Web-based waiting time information servicesDavid A Cromwell, David A Griffiths, Irene A KreisSocial Science & Medicine (1982)|August 18, 2004
Waiting time information services: an evaluation of how well clearance time statistics can forecast a patient's waitDavid A CromwellJournal of Clinical Epidemiology|March 26, 2003
The performance of instrumental activities of daily living scale in screening for cognitive impairment in elderly community residentsDavid A Cromwell, Kathy Eagar, Roslyn G PoulosArchives of Disease in Childhood. Education and Practice Edition|November 24, 2016
Fifteen-minute consultation: the complexities of empirical antibiotic selection for serious bacterial infections-a practical approachJulia A Bielicki, David A Cromwell, Mike SharlandJournal of Clinical Epidemiology|January 14, 2014
Parity derived for pregnant women using historical administrative hospital data: accuracy varied among patient groupsDavid A Cromwell, Hannah E Knight, Ipek Gurol-UrganciBMJ Open Quality|May 20, 2024
Documentary analysis of national and international guidance for community clinicians referring patients with suspected chronic limb-threatening ischaemiaEleanor Atkins, Panagiota Birmpili, Ian Kellar, et al.Plos One|July 7, 2018
Using risk adjustment to improve the interpretation of global inpatient pediatric antibiotic prescribingJulia A Bielicki, Mike Sharland, Ann Versporten, et al.Lancet (London, England)|July 9, 2013
Public reporting of surgeon outcomes: low numbers of procedures lead to false complacencyKate Walker, Jenny Neuburger, Oliver Groene, et al.Journal of Clinical Epidemiology|August 12, 2020
A novel approach selected small sets of diagnosis codes with high prediction performance in large healthcare datasetsThomas E Cowling, David A Cromwell, Linda D Sharples, et al.Pageof 10