John Corkery

Background

About John Corkery

Statistical packages used inc. SPSS, SAS, Minitab, TAU software development and maintenance, knowledge of SIR, EpiInfo Knowledge and experience of main-frame database design and implementation; responsible for large-scale data collection systems and analysis relating to drug-related mortality, drug seizures, drug offenders, scientific procedures. Experience of designing and implementing data collection systems inc. data collection instruments, sampling, interviewing, data collection, validation & cleaning, analysis, writing-up and dissemination, e.g. firearms, compensation orders, drug seizure and offender statistics, drug-related deaths, and volatile substance abuse deaths. Secondary analyses of other datasets to produce overviews for publication e.g. Race and the Criminal Justice System; looking at links between drug indicators to see what ‘narrative’ they tell Experience of undertaking both qualitative and quantitative analyses on Criminal Justice, drugs, Prison Inmate Information, Scientific Procedures, Sociological and Genealogical data Academic articles covering, literature reviews, case reports, case-series, development of new statistical techniques, methodological work on the use of vignettes in criminal justice, research, etc. Egypt 16-19 October 2007 Temporary Advisor and speaker at Sixth meeting of the Regional Advisory Panel on Impacts of Drug Abuse (RAPID) for WHO (Eastern Mediterranean Regional Office) in Cairo. Russian Republic of Karelia 2-3 July 2008 Speaker and participant with EMCDDA colleagues at Expert Seminar on Drug Related Mortality for the North West Russian Federations in Petrozavodsk, organised by Moscow Office of UNODC. Specialties: Extensive knowledge of research and statistics on drug epidemiology in the UK and internationally. Unrivalled knowledge of UK statistical and other data sources on drug indicators, including historic sources and their evolution. UK expert on drug-related deaths since representing county in international fora. Expertise in using multiple indicator approach to epidemiology