Data Science Building External Facade Up

Dr Mark Atkinson

Swyddog Ymchwil, Health Data Science

+44 (0) 1792 602746

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Siaradwr Cymraeg Sylfaenol

307
Trydydd Llawr
Yr Adeilad Gwyddor Data
Campws Singleton

Dolenni Ymchwil

https://orcid.org/0000-0003-4237-3588

ResearcherID

Trosolwg

Mae Mark yn gweithio fel Swyddog Ymchwil ac mae wedi gweithio ar gronfeydd data iechyd a gweinyddol mawr ar brosiectau amrywiol yn gysylltiedig â Banc Data SAIL yn ystod y ddeng mlynedd ddiwethaf. Mae wedi cael gyrfa hir yn y maes biolegol a meysydd sy’n gysylltiedig â data gan gynnwys ecoleg planhigion, cronfeydd data genomau planhigion a genomau a biohinsoddeg.

Cyhoeddiadau

Uchafbwyntiau Ymchwil

Atkinson, M., Cooksey, R., Jones, J., & Brophy, S. (2023). The coding of telephone consultations in UK primary care databases: are we picking up all the calls?. BMC Research Notes, 16(1)
https://doi.org/10.1186/s13104-023-06325-y, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63441
http://dx.doi.org/10.1186/s13104-023-06325-y
Cooksey, R., Husain, M., Brophy, S., Davies, H., Rahman, M., Atkinson, M., Phillips, C., Siebert, S., Phillips, C., Davies, H., Brophy, S., Cooksey, R., & Atkinson, M. (2015). The Cost of Ankylosing Spondylitis in the UK Using Linked Routine and Patient-Reported Survey Data. PLOS ONE, 10(7), e0126105
https://doi.org/10.1371/journal.pone.0126105, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23317
http://europepmc.org/abstract/med/26185984
Fernandez-Gutierrez, F., Kennedy, J., Zhou, S., Cooksey, R., Atkinson, M., & Brophy, S. (2015). Comparing feature selection methods for highdimensional imbalanced data: identifying rheumatoid arthritis cohorts from routine data. In 2015 International Conference on Industrial Engineering and Systems Management (IESM) (pp. 236-241). 2015 International Conference on Industrial Engineering and Systems Management (IESM).
https://doi.org/10.1109/IESM.2015.7380164, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa24550
Zhou, S., Fernandez-Gutierrez, F., Kennedy, J., Cooksey, R., Atkinson, M., Denaxas, S., Siebert, S., Dixon, W., O’Neill, T., Choy, E., Sudlow, C., Brophy, S., & Group), . (2016). Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis. PLOS ONE, 11(5), e0154515
https://doi.org/10.1371/journal.pone.0154515, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa27734
Husain, M., Brophy, S., Macey, S., Pinder, L., Atkinson, M., Cooksey, R., Phillips, C., & Siebert, S. (2012). HERALD (Health Economics using Routine Anonymised Linked Data). BMC Medical Informatics and Decision Making, 12(1)
https://doi.org/10.1186/1472-6947-12-24, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51525
Demmler, J., Atkinson, M., Reinhold, E., Choy, E., Lyons, R., & Brophy, S. (2019). Diagnosed prevalence of Ehlers-Danlos syndrome and hypermobility spectrum disorder in Wales, UK: a national electronic cohort study and case–control comparison. BMJ Open, 9(11), e031365
https://doi.org/10.1136/bmjopen-2019-031365, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52822
Hurt, L., Ashfield-Watt, P., Townson, J., Heslop, L., Copeland, L., Atkinson, M., Horton, J., & Paranjothy, S. (2019). Cohort profile: HealthWise Wales. A research register and population health data platform with linkage to National Health Service data sets in Wales. BMJ Open, 9(12), e031705
https://doi.org/10.1136/bmjopen-2019-031705, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53050
Rafferty, J., Stephens, J., Atkinson, M., Luzio, S., Akbari, A., Gregory, J., Bain, S., Owens, D., & Thomas, B. (2021). A retrospective epidemiological study of Type 1 Diabetes Mellitus in Wales, UK between 2008 and 2018. International Journal of Population Data Science, 6(1)
https://doi.org/10.23889/ijpds.v6i1.1387, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56716
Fernandez-Gutierrez, F., Kennedy, J., Cooksey, R., Atkinson, M., Choy, E., Brophy, S., Huo, L., & Zhou, S. (2021). Mining Primary Care Electronic Health Records for Automatic Disease Phenotyping: A Transparent Machine Learning Framework. Diagnostics, 11(10), 1908
https://doi.org/10.3390/diagnostics11101908, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58381
Fernández-Gutiérrez, F., Kennedy, J., Cooksey, R., Atkinson, M., Choy, E., Brophy, S., & Zhou, S. (2017). Development of data-driven framework for automatically identifying patient cohorts from linked electronic health records. In International Journal of Population Data ScienceSwansea University.
https://doi.org/10.23889/ijpds.v1i1.86, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa61658
Cooksey, R., Underwood, J., Brophy, S., Atkinson, M., Kennedy, J., & Choy, E. (2022). Shielding reduced incidence of COVID-19 in patients with inflammatory arthritis but vulnerability is associated with increased mortality. Rheumatology, 61(SI2), SI120-SI128.
https://doi.org/10.1093/rheumatology/keac283, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62372
Zhou, S., Lyons, R., Bodger, O., Demmler, J., & Atkinson, M. (2010). SVM with entropy regularization and particle swarm optimization for identifying children's health and socioeconomic determinants of education attainments using linked datasets. (pp. 1-8).
https://doi.org/10.1109/IJCNN.2010.5596973, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10434
Brophy, S., Davies, H., Stephens, J., Prior, S., Atkinson, M., Bain, S., Williams, R., Davies, H., Brophy, S., & Atkinson, M. (2010). Adiponectin levels in people with Latent Autoimmune Diabetes-a case control study. BMC Research Notes, 3, 317
https://doi.org/10.1186/1756-0500-3-317, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10727
http://www.biomedcentral.com/1756-0500/3/317/abstract
Brophy, S., Cooksey, R., Atkinson, M., Zhou, S., Husain, M., Macey, S., Rahman, M., & Siebert, S. (2012). No Increased Rate of Acute Myocardial Infarction or Stroke Among Patients with Ankylosing Spondylitis—A Retrospective Cohort Study Using Routine Data. Seminars in Arthritis and Rheumatism
https://doi.org/10.1016/j.semarthrit.2012.02.008, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10987
Roberts, S., Akbari, A., Carter, K., Atkinson, M., & Evans, A. (2013). The incidence of acute pancreatitis: impact of social deprivation, alcohol consumption, seasonal and demographic factors. Alimentary Pharmacology & Therapeutics, 38(5), 539-548.
https://doi.org/10.1111/apt.12408, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15008
Brophy, S., Jones, K., Rahman, M., Zhou, S., John, A., Atkinson, M., Francis, N., Lyons, R., & Dunstan, F. (2014). Response to Fujita et al.. The American Journal of Gastroenterology, 109(1), 138-139.
https://doi.org/10.1038/ajg.2013.352, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16967
Morgan, K., Rahman, M., Macey, S., Atkinson, M., Hill, R., Khanom, A., Paranjothy, S., Jami Husain, M., & Brophy, S. (2014). Obesity in pregnancy: a retrospective prevalence-based study on health service utilisation and costs on the NHS.. BMJ Open
https://doi.org/10.1136/bmjopen-2013-003983, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18394
Morgan, K., Rahman, M., Atkinson, M., Zhou, S., Hill, R., Khanom, A., Paranjothy, S., & Brophy, S. (2013). Association of Diabetes in Pregnancy with Child Weight at Birth, Age 12 Months and 5 Years – A Population-Based Electronic Cohort Study. PLoS ONE, 8(11), e79803
https://doi.org/10.1371/journal.pone.0079803, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18395
Eastwood, S., Mathur, R., Atkinson, M., Brophy, S., Sudlow, C., Flaig, R., Lusignan, S., Allen, N., & Chaturvedi, N. (2016). Algorithms for the Capture and Adjudication of Prevalent and Incident Diabetes in UK Biobank. PLOS ONE, 11(9), e0162388
https://doi.org/10.1371/journal.pone.0162388, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30805
Atkinson, M., Kennedy, J., John, A., Lewis, K., Lyons, R., Brophy, S., Demmler, J., & Akbari, A. (2017). Development of an algorithm for determining smoking status and behaviour over the life course from UK electronic primary care records. BMC Medical Informatics and Decision Making, 17(1)
https://doi.org/10.1186/s12911-016-0400-6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31589
Woodfield, R., Grant, I., Group, U., Group, U., Sudlow, C., & Atkinson, M. (2015). Accuracy of electronic health record data for identifying stroke cases in large epidemiological studies. PLOS ONE, 10(9)
https://doi.org/10.1371/journal.pone.0140533, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa24278
Sayers, A., Thayer, D., Harvey, J., Luzio, S., Atkinson, M., French, R., Warner, J., Dayan, C., Wong, S., Gregory, J., Atkinson, M., Luzio, S., & Thayer, D. (2015). Evidence for a persistent, major excess in all cause admissions to hospital in children with type-1 diabetes: results from a large Welsh national matched community cohort study. BMJ Open, 5(4), e005644-e005644.
https://doi.org/10.1136/bmjopen-2014-005644, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20779
Cooksey, R., Brophy, S., Dennis, M., Davies, H., Atkinson, M., Irvine, E., Siebert, S., Davies, H., Brophy, S., Dennis, M., Cooksey, R., & Atkinson, M. (2015). Severe flare as a predictor of poor outcome in ankylosing spondylitis: a cohort study using questionnaire and routine data linkage. Rheumatology
https://doi.org/10.1093/rheumatology/kev015, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20778
Zhou, S., Rahman, M., Brophy, S., & Atkinson, M. (2014). Mining textual data from primary healthcare records - automatic identification of patient phenotype cohorts. In 2014 International Joint Conference on Neural Networks
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20777
Thayer, D., Sayers, A., Harvey, J., Atkinson, M., Warner, J., Wong, S., Dayan, C., Luzio, S., Gregory, J., & Atkinson, M. (2014). Hospital admissions in young people with type 1 diabetes: results from a large national matched cohort study. Diabetic Medicine, 31(Suppl 1), 22
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18009
Moore, G., Murphy, S., Chaplin, K., Lyons, R., Atkinson, M., & Moore, L. (2013). Impacts of the Primary School Free Breakfast Initiative on socio-economic inequalities in breakfast consumption among 9–11-year-old schoolchildren in Wales. Public Health Nutrition, 1-10.
https://doi.org/10.1017/S1368980013003133, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16917
Luzio, S., Dunseath, G., Atkinson, M., Owens, D., Atkinson, M., Dunseath, G., & Luzio, S. (2013). A comparison of the pharmacodynamic profiles of insulin detemir and insulin glargine: A single dose clamp study in people with type 2 diabetes. Diabetes & Metabolism, 39(6), 537-542.
https://doi.org/10.1016/j.diabet.2013.09.002, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16916
Brophy, S., Jones, K., Rahman, M., Zhou, S., John, A., Atkinson, M., Francis, N., Lyons, R., & Dunstan, F. (2013). Incidence of Campylobacter and Salmonella Infections Following First Prescription for PPI: A Cohort Study Using Routine Data. The American Journal of Gastroenterology, 108(7), 1094-1100.
https://doi.org/10.1038/ajg.2013.30, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14767
Packham, J., Thomas, P., Atkinson, M., & Degen, T. (2012). Biological Flora of the British Isles:Fagus sylvatica. Journal of Ecology, 100(6), 1557-1608.
https://doi.org/10.1111/j.1365-2745.2012.02017.x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14769
Husain, M., Brophy, S., Macey, S., Pinder, L., Atkinson, M., Cooksey, R., Phillips, C., & Siebert, S. (2011). HERALD (Health Economics using Routine Anonymised Linked Data). Trials, 12(Suppl 1)
https://doi.org/10.1186/1745-6215-12-S1-A44, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14772
Atkinson, M., Brophy, S., Siebert, S., Gravenor, M., Phillips, C., Ford, D., Jones, K., & Lyons, R. (2010). Protocol for a population-based Ankylosing Spondylitis (PAS) cohort in Wales. BMC Musculoskeletal Disorders, 11(1)
https://doi.org/10.1186/1471-2474-11-197, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14774
ATKINSON, M., KETTLEWELL, P., POULTON, P., HOLLINS, P., & Atkinson, M. (2008). Grain quality in the Broadbalk Wheat Experiment and the winter North Atlantic Oscillation. The Journal of Agricultural Science, 146(05)
https://doi.org/10.1017/S0021859608007958, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14776
HOLLINS, P., KETTLEWELL, P., PARSONS, S., ATKINSON, M., & Atkinson, M. (2006). The impact of supply, demand and grain quality on the UK bread and feed wheat price differential in the UK. The Journal of Agricultural Science, 144(05)
https://doi.org/10.1017/S0021859606006307, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14777
Atkinson, M., Kettlewell, P., Hollins, P., Stephenson, D., Hardwick, N., & Atkinson, M. (2005). Summer climate mediates UK wheat quality response to winter North Atlantic Oscillation. Agricultural and Forest Meteorology, 130(1-2)-37.
https://doi.org/10.1016/j.agrformet.2005.02.002, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14778
Atkinson, M. & Atkinson, E. (2002). Biological Flora of the British Isles: Sambucus nigra L.. Journal of Ecology, 90-923.
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14780

Holl Ymchwil

Erthyglau Cylchgronau

Atkinson, M., Cooksey, R., Jones, J., & Brophy, S. (2023). The coding of telephone consultations in UK primary care databases: are we picking up all the calls?. BMC Research Notes, 16(1)
https://doi.org/10.1186/s13104-023-06325-y, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa63441
http://dx.doi.org/10.1186/s13104-023-06325-y
Cooksey, R., Underwood, J., Brophy, S., Atkinson, M., Kennedy, J., & Choy, E. (2022). Shielding reduced incidence of COVID-19 in patients with inflammatory arthritis but vulnerability is associated with increased mortality. Rheumatology, 61(SI2), SI120-SI128.
https://doi.org/10.1093/rheumatology/keac283, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa62372
Fernandez-Gutierrez, F., Kennedy, J., Cooksey, R., Atkinson, M., Choy, E., Brophy, S., Huo, L., & Zhou, S. (2021). Mining Primary Care Electronic Health Records for Automatic Disease Phenotyping: A Transparent Machine Learning Framework. Diagnostics, 11(10), 1908
https://doi.org/10.3390/diagnostics11101908, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa58381
Rafferty, J., Stephens, J., Atkinson, M., Luzio, S., Akbari, A., Gregory, J., Bain, S., Owens, D., & Thomas, B. (2021). A retrospective epidemiological study of Type 1 Diabetes Mellitus in Wales, UK between 2008 and 2018. International Journal of Population Data Science, 6(1)
https://doi.org/10.23889/ijpds.v6i1.1387, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa56716
Hurt, L., Ashfield-Watt, P., Townson, J., Heslop, L., Copeland, L., Atkinson, M., Horton, J., & Paranjothy, S. (2019). Cohort profile: HealthWise Wales. A research register and population health data platform with linkage to National Health Service data sets in Wales. BMJ Open, 9(12), e031705
https://doi.org/10.1136/bmjopen-2019-031705, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa53050
Demmler, J., Atkinson, M., Reinhold, E., Choy, E., Lyons, R., & Brophy, S. (2019). Diagnosed prevalence of Ehlers-Danlos syndrome and hypermobility spectrum disorder in Wales, UK: a national electronic cohort study and case–control comparison. BMJ Open, 9(11), e031365
https://doi.org/10.1136/bmjopen-2019-031365, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa52822
Atkinson, M., Kennedy, J., John, A., Lewis, K., Lyons, R., Brophy, S., Demmler, J., & Akbari, A. (2017). Development of an algorithm for determining smoking status and behaviour over the life course from UK electronic primary care records. BMC Medical Informatics and Decision Making, 17(1)
https://doi.org/10.1186/s12911-016-0400-6, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa31589
Zhou, S., Fernandez-Gutierrez, F., Kennedy, J., Cooksey, R., Atkinson, M., Denaxas, S., Siebert, S., Dixon, W., O’Neill, T., Choy, E., Sudlow, C., Brophy, S., & Group), . (2016). Defining Disease Phenotypes in Primary Care Electronic Health Records by a Machine Learning Approach: A Case Study in Identifying Rheumatoid Arthritis. PLOS ONE, 11(5), e0154515
https://doi.org/10.1371/journal.pone.0154515, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa27734
Eastwood, S., Mathur, R., Atkinson, M., Brophy, S., Sudlow, C., Flaig, R., Lusignan, S., Allen, N., & Chaturvedi, N. (2016). Algorithms for the Capture and Adjudication of Prevalent and Incident Diabetes in UK Biobank. PLOS ONE, 11(9), e0162388
https://doi.org/10.1371/journal.pone.0162388, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa30805
Cooksey, R., Husain, M., Brophy, S., Davies, H., Rahman, M., Atkinson, M., Phillips, C., Siebert, S., Phillips, C., Davies, H., Brophy, S., Cooksey, R., & Atkinson, M. (2015). The Cost of Ankylosing Spondylitis in the UK Using Linked Routine and Patient-Reported Survey Data. PLOS ONE, 10(7), e0126105
https://doi.org/10.1371/journal.pone.0126105, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa23317
http://europepmc.org/abstract/med/26185984
Sayers, A., Thayer, D., Harvey, J., Luzio, S., Atkinson, M., French, R., Warner, J., Dayan, C., Wong, S., Gregory, J., Atkinson, M., Luzio, S., & Thayer, D. (2015). Evidence for a persistent, major excess in all cause admissions to hospital in children with type-1 diabetes: results from a large Welsh national matched community cohort study. BMJ Open, 5(4), e005644-e005644.
https://doi.org/10.1136/bmjopen-2014-005644, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20779
Woodfield, R., Grant, I., Group, U., Group, U., Sudlow, C., & Atkinson, M. (2015). Accuracy of electronic health record data for identifying stroke cases in large epidemiological studies. PLOS ONE, 10(9)
https://doi.org/10.1371/journal.pone.0140533, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa24278
Cooksey, R., Brophy, S., Dennis, M., Davies, H., Atkinson, M., Irvine, E., Siebert, S., Davies, H., Brophy, S., Dennis, M., Cooksey, R., & Atkinson, M. (2015). Severe flare as a predictor of poor outcome in ankylosing spondylitis: a cohort study using questionnaire and routine data linkage. Rheumatology
https://doi.org/10.1093/rheumatology/kev015, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa20778
Brophy, S., Jones, K., Rahman, M., Zhou, S., John, A., Atkinson, M., Francis, N., Lyons, R., & Dunstan, F. (2014). Response to Fujita et al.. The American Journal of Gastroenterology, 109(1), 138-139.
https://doi.org/10.1038/ajg.2013.352, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16967
Thayer, D., Sayers, A., Harvey, J., Atkinson, M., Warner, J., Wong, S., Dayan, C., Luzio, S., Gregory, J., & Atkinson, M. (2014). Hospital admissions in young people with type 1 diabetes: results from a large national matched cohort study. Diabetic Medicine, 31(Suppl 1), 22
SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18009
Morgan, K., Rahman, M., Macey, S., Atkinson, M., Hill, R., Khanom, A., Paranjothy, S., Jami Husain, M., & Brophy, S. (2014). Obesity in pregnancy: a retrospective prevalence-based study on health service utilisation and costs on the NHS.. BMJ Open
https://doi.org/10.1136/bmjopen-2013-003983, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18394
Morgan, K., Rahman, M., Atkinson, M., Zhou, S., Hill, R., Khanom, A., Paranjothy, S., & Brophy, S. (2013). Association of Diabetes in Pregnancy with Child Weight at Birth, Age 12 Months and 5 Years – A Population-Based Electronic Cohort Study. PLoS ONE, 8(11), e79803
https://doi.org/10.1371/journal.pone.0079803, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa18395
Moore, G., Murphy, S., Chaplin, K., Lyons, R., Atkinson, M., & Moore, L. (2013). Impacts of the Primary School Free Breakfast Initiative on socio-economic inequalities in breakfast consumption among 9–11-year-old schoolchildren in Wales. Public Health Nutrition, 1-10.
https://doi.org/10.1017/S1368980013003133, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16917
Roberts, S., Akbari, A., Carter, K., Atkinson, M., & Evans, A. (2013). The incidence of acute pancreatitis: impact of social deprivation, alcohol consumption, seasonal and demographic factors. Alimentary Pharmacology & Therapeutics, 38(5), 539-548.
https://doi.org/10.1111/apt.12408, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa15008
Luzio, S., Dunseath, G., Atkinson, M., Owens, D., Atkinson, M., Dunseath, G., & Luzio, S. (2013). A comparison of the pharmacodynamic profiles of insulin detemir and insulin glargine: A single dose clamp study in people with type 2 diabetes. Diabetes & Metabolism, 39(6), 537-542.
https://doi.org/10.1016/j.diabet.2013.09.002, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa16916
Brophy, S., Jones, K., Rahman, M., Zhou, S., John, A., Atkinson, M., Francis, N., Lyons, R., & Dunstan, F. (2013). Incidence of Campylobacter and Salmonella Infections Following First Prescription for PPI: A Cohort Study Using Routine Data. The American Journal of Gastroenterology, 108(7), 1094-1100.
https://doi.org/10.1038/ajg.2013.30, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14767
Husain, M., Brophy, S., Macey, S., Pinder, L., Atkinson, M., Cooksey, R., Phillips, C., & Siebert, S. (2012). HERALD (Health Economics using Routine Anonymised Linked Data). BMC Medical Informatics and Decision Making, 12(1)
https://doi.org/10.1186/1472-6947-12-24, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa51525
Brophy, S., Cooksey, R., Atkinson, M., Zhou, S., Husain, M., Macey, S., Rahman, M., & Siebert, S. (2012). No Increased Rate of Acute Myocardial Infarction or Stroke Among Patients with Ankylosing Spondylitis—A Retrospective Cohort Study Using Routine Data. Seminars in Arthritis and Rheumatism
https://doi.org/10.1016/j.semarthrit.2012.02.008, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10987
Packham, J., Thomas, P., Atkinson, M., & Degen, T. (2012). Biological Flora of the British Isles:Fagus sylvatica. Journal of Ecology, 100(6), 1557-1608.
https://doi.org/10.1111/j.1365-2745.2012.02017.x, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14769
Husain, M., Brophy, S., Macey, S., Pinder, L., Atkinson, M., Cooksey, R., Phillips, C., & Siebert, S. (2011). HERALD (Health Economics using Routine Anonymised Linked Data). Trials, 12(Suppl 1)
https://doi.org/10.1186/1745-6215-12-S1-A44, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14772
Brophy, S., Davies, H., Stephens, J., Prior, S., Atkinson, M., Bain, S., Williams, R., Davies, H., Brophy, S., & Atkinson, M. (2010). Adiponectin levels in people with Latent Autoimmune Diabetes-a case control study. BMC Research Notes, 3, 317
https://doi.org/10.1186/1756-0500-3-317, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa10727
http://www.biomedcentral.com/1756-0500/3/317/abstract
Atkinson, M., Brophy, S., Siebert, S., Gravenor, M., Phillips, C., Ford, D., Jones, K., & Lyons, R. (2010). Protocol for a population-based Ankylosing Spondylitis (PAS) cohort in Wales. BMC Musculoskeletal Disorders, 11(1)
https://doi.org/10.1186/1471-2474-11-197, SU Repository: https://cronfa.swan.ac.uk/Record/cronfa14774
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