ºÝºÝߣshows by User: DASpringate / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: DASpringate / Mon, 30 Sep 2013 08:21:41 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: DASpringate Presentation /slideshow/presentation-26694505/26694505 presentation-130930082141-phpapp01
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]]> Mon, 30 Sep 2013 08:21:41 GMT /slideshow/presentation-26694505/26694505 DASpringate@slideshare.net(DASpringate) Presentation DASpringate <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/presentation-130930082141-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
Presentation from David Springate
]]> 453 4 https://cdn.slidesharecdn.com/ss_thumbnails/presentation-130930082141-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 ClinicalCodes.org: An online repository of clinical code lists for primary care database research /slideshow/daspringate-clinicalcodes-pres/26694376 daspringateclinicalcodespres-130930081755-phpapp01
ClinicalCodes.org: An online repository of clinical code lists for primary care database research]]>
ClinicalCodes.org: An online repository of clinical code lists for primary care database research]]> Mon, 30 Sep 2013 08:17:54 GMT /slideshow/daspringate-clinicalcodes-pres/26694376 DASpringate@slideshare.net(DASpringate) ClinicalCodes.org: An online repository of clinical code lists for primary care database research DASpringate ClinicalCodes.org: An online repository of clinical code lists for primary care database research <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/daspringateclinicalcodespres-130930081755-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> ClinicalCodes.org: An online repository of clinical code lists for primary care database research
ClinicalCodes.org: An online repository of clinical code lists for primary care database research from David Springate
]]> 2070 8 https://cdn.slidesharecdn.com/ss_thumbnails/daspringateclinicalcodespres-130930081755-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Using primary care databases to evaluate drug benefits and harms: are the results replicable and valid? /DASpringate/daspringate-rs-spresbiostats daspringatersspresbiostats-130930080454-phpapp02
Databases of electronic medical records and in particular primary care databases (PCDs) are increasingly used in research. The largest PCDs contain full data on all primary care consultations by millions of patients over two or more decades. They provide a means for investigating important healthcare questions which cannot be practically addressed in a Randomised Controlled Trial. However, concerns remain about the validity of studies based on data from PCDs. Most work around validity has attempted to confirm individual data values within a dataset. We take a different approach and instead replicate published PCD studies in a second, independent, PCD. Agreement of results then implies that the conclusions drawn are independent of the data source (though this doesn’t rule out that such as confounding by indication are commonly influencing both). We replicated two previous PCD studies using the Clinical Practice Research Datalink (CPRD). The first was a retrospective cohort study of the effect of Beta-blocker therapy on survival in cancer patients using DIN-LINK. The second was a nested case-control analysis of the effects of Statins on mortality of patients with ischaemic heart disease using QRESEARCH. Our analyses produced several important quantitative differences compared to the original studies, altering conclusions. These could not be fully explained by either demographic differences in the patient samples or structural differences between the datasets. Our study highlights both the caution that needs to be applied when assessing the findings from analysis of just a single database and the difficulties in performing replications of existing PCD studies. ]]>
Databases of electronic medical records and in particular primary care databases (PCDs) are increasingly used in research. The largest PCDs contain full data on all primary care consultations by millions of patients over two or more decades. They provide a means for investigating important healthcare questions which cannot be practically addressed in a Randomised Controlled Trial. However, concerns remain about the validity of studies based on data from PCDs. Most work around validity has attempted to confirm individual data values within a dataset. We take a different approach and instead replicate published PCD studies in a second, independent, PCD. Agreement of results then implies that the conclusions drawn are independent of the data source (though this doesn’t rule out that such as confounding by indication are commonly influencing both). We replicated two previous PCD studies using the Clinical Practice Research Datalink (CPRD). The first was a retrospective cohort study of the effect of Beta-blocker therapy on survival in cancer patients using DIN-LINK. The second was a nested case-control analysis of the effects of Statins on mortality of patients with ischaemic heart disease using QRESEARCH. Our analyses produced several important quantitative differences compared to the original studies, altering conclusions. These could not be fully explained by either demographic differences in the patient samples or structural differences between the datasets. Our study highlights both the caution that needs to be applied when assessing the findings from analysis of just a single database and the difficulties in performing replications of existing PCD studies. ]]> Mon, 30 Sep 2013 08:04:54 GMT /DASpringate/daspringate-rs-spresbiostats DASpringate@slideshare.net(DASpringate) Using primary care databases to evaluate drug benefits and harms: are the results replicable and valid? DASpringate Databases of electronic medical records and in particular primary care databases (PCDs) are increasingly used in research. The largest PCDs contain full data on all primary care consultations by millions of patients over two or more decades. They provide a means for investigating important healthcare questions which cannot be practically addressed in a Randomised Controlled Trial. However, concerns remain about the validity of studies based on data from PCDs. Most work around validity has attempted to confirm individual data values within a dataset. We take a different approach and instead replicate published PCD studies in a second, independent, PCD. Agreement of results then implies that the conclusions drawn are independent of the data source (though this doesn’t rule out that such as confounding by indication are commonly influencing both). We replicated two previous PCD studies using the Clinical Practice Research Datalink (CPRD). The first was a retrospective cohort study of the effect of Beta-blocker therapy on survival in cancer patients using DIN-LINK. The second was a nested case-control analysis of the effects of Statins on mortality of patients with ischaemic heart disease using QRESEARCH. Our analyses produced several important quantitative differences compared to the original studies, altering conclusions. These could not be fully explained by either demographic differences in the patient samples or structural differences between the datasets. Our study highlights both the caution that needs to be applied when assessing the findings from analysis of just a single database and the difficulties in performing replications of existing PCD studies. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/daspringatersspresbiostats-130930080454-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Databases of electronic medical records and in particular primary care databases (PCDs) are increasingly used in research. The largest PCDs contain full data on all primary care consultations by millions of patients over two or more decades. They provide a means for investigating important healthcare questions which cannot be practically addressed in a Randomised Controlled Trial. However, concerns remain about the validity of studies based on data from PCDs. Most work around validity has attempted to confirm individual data values within a dataset. We take a different approach and instead replicate published PCD studies in a second, independent, PCD. Agreement of results then implies that the conclusions drawn are independent of the data source (though this doesn’t rule out that such as confounding by indication are commonly influencing both). We replicated two previous PCD studies using the Clinical Practice Research Datalink (CPRD). The first was a retrospective cohort study of the effect of Beta-blocker therapy on survival in cancer patients using DIN-LINK. The second was a nested case-control analysis of the effects of Statins on mortality of patients with ischaemic heart disease using QRESEARCH. Our analyses produced several important quantitative differences compared to the original studies, altering conclusions. These could not be fully explained by either demographic differences in the patient samples or structural differences between the datasets. Our study highlights both the caution that needs to be applied when assessing the findings from analysis of just a single database and the difficulties in performing replications of existing PCD studies.
Using primary care databases to evaluate drug benefits and harms: are the results replicable and valid? from David Springate
]]> 1165 5 https://cdn.slidesharecdn.com/ss_thumbnails/daspringatersspresbiostats-130930080454-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 Functional Programming in R /slideshow/functional-programming-in-r/20463566 fpinrpresentationshort-130503041620-phpapp02
Presentation I gave at the Manchester R user group on 02/05/2013]]>
Presentation I gave at the Manchester R user group on 02/05/2013]]> Fri, 03 May 2013 04:16:20 GMT /slideshow/functional-programming-in-r/20463566 DASpringate@slideshare.net(DASpringate) Functional Programming in R DASpringate Presentation I gave at the Manchester R user group on 02/05/2013 <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/fpinrpresentationshort-130503041620-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Presentation I gave at the Manchester R user group on 02/05/2013
Functional Programming in R from David Springate
]]> 4254 10 https://cdn.slidesharecdn.com/ss_thumbnails/fpinrpresentationshort-130503041620-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds presentation Black http://activitystrea.ms/schema/1.0/post http://activitystrea.ms/schema/1.0/posted 0 https://cdn.slidesharecdn.com/profile-photo-DASpringate-48x48.jpg?cb=1573144887 Data scientist and developer currently working in large-scale electronic health records research. Languages: - R - Python - Javascript - Clojure Tools: - Django - Celery + Redis - PostgreSQL - Jquery + bootstrap - Arduino - InfluxDB Statistics/data science skills: - Mixed-effect modelling - Survival/time to event analyses - Simulation/bootstrapping/monte carlo methods - Clustering and classification (decision trees, randomForests, boosting etc) - Complex data visualisation (ggplot2, d3) - Text mining/ NLP - Web mining http://daspringate.github.com https://cdn.slidesharecdn.com/ss_thumbnails/presentation-130930082141-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/presentation-26694505/26694505 Presentation https://cdn.slidesharecdn.com/ss_thumbnails/daspringateclinicalcodespres-130930081755-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/daspringate-clinicalcodes-pres/26694376 ClinicalCodes.org: An ... https://cdn.slidesharecdn.com/ss_thumbnails/daspringatersspresbiostats-130930080454-phpapp02-thumbnail.jpg?width=320&height=320&fit=bounds DASpringate/daspringate-rs-spresbiostats Using primary care dat...