cohortjigsaw.com
Cohort Jigsaw
http://www.cohortjigsaw.com/cohorts/new
Total Population = 250. Starting sample = 250. Revised sample = 43. Revised sample = 43. Final cohort = 43. Proportion = 0.00% (0/43). Select the data source to be used. This demonstration version is hard-coded to use a small synthetic sample of Medicare participants. Future versions will allow users to access additional data sets, as well as previously created cohorts. Add the primary cohort inclusion criterion here. Multiple criteria will be joined with. Ie, at least one of the criteria). The. These wi...
outcomesinsights.com
Welcome to Our Blog – Outcomes Insights
http://www.outcomesinsights.com/2015/06/18/welcome-to-our-blog
Epidemiology, Health Economics, and Bioinformatics. Analyses of Observational Data. Welcome to Our Blog. Welcome to Our Blog. Welcome to Our Blog. Our blog will span the breadth of expertise we have within the company. Topics may include traditional programming (e.g., Ruby, C, Go, Java, Javascript, etc.), statistical programming (R, SAS, Stata, etc.), reimbursement and coding, market research, survey implementation, statistics, biomedical informatics, OHDSI. June 18th, 2015. About the Author: Mark Danese.
outcomesinsights.com
Our Services – Outcomes Insights
http://www.outcomesinsights.com/our-services
Epidemiology, Health Economics, and Bioinformatics. Analyses of Observational Data. Analyses of Observational Data. Analyses of Observational Data. Analyses of SEER-Medicare Data. We specialize in analyzing SEER-Medicare data, not only for solid tumors but also for lymphoma and leukemia (and eventually, myeloma). We have published our SEER Medicare work in a variety of journals, including Blood, BMC Cancer, Annals of Oncology, American Journal of Hematology, and Pharmacoeconomics. We build cost effective...
outcomesinsights.com
Our Team – Outcomes Insights
http://www.outcomesinsights.com/our-team
Epidemiology, Health Economics, and Bioinformatics. Analyses of Observational Data. Dr Danese is a collaborator with the Observational Health Data Science and Informatics (OHDSI) collaborative, helping to develop open-source tools to improve the conduct of observational studies. He is also a member of the following organizations: the American Statistical Association, Academy Health, the Society for Medical Decision Making, the International Society for Pharmacoepidemiology, the American Medical Infor...
out-inc.com
Model Adaptation – Outcomes Insights
http://www.out-inc.com/our-services/model-adaptation
Epidemiology, Health Economics, and Bioinformatics. Analyses of Observational Data. 2801 Townsgate Road Suite 330. Phone: 1.805.498.0034. Web: Outcomes Insights, Inc. Rabbit in A Hat. June 18th, 2015. NHANES data in R. July 10th, 2015. Updated nhanes.tools R package. July 14th, 2016. February 29th, 2016.
out-inc.com
Our Team – Outcomes Insights
http://www.out-inc.com/our-team
Epidemiology, Health Economics, and Bioinformatics. Analyses of Observational Data. Dr Danese is a collaborator with the Observational Health Data Science and Informatics (OHDSI) collaborative, helping to develop open-source tools to improve the conduct of observational studies. He is also a member of the following organizations: the American Statistical Association, Academy Health, the Society for Medical Decision Making, the International Society for Pharmacoepidemiology, the American Medical Infor...
out-inc.com
Budget Impact Models – Outcomes Insights
http://www.out-inc.com/our-services/budget-impact-models
Epidemiology, Health Economics, and Bioinformatics. Analyses of Observational Data. While budget impact models are not usually published, we have published one that is listed below:. Danese, M. D. Reyes, C., Northridge, K. Lubeck, D., Lin, C. Y., & O’Connor, P. Budget impact model of adding erlotinib to a regimen of gemcitabine for the treatment of locally advanced, nonresectable or metastatic pancreatic cancer. ClinTher. 2008. 30: 775-784. 2801 Townsgate Road Suite 330. Phone: 1.805.498.0034.
outcomesinsights.com
Analyses of Observational Data – Outcomes Insights
http://www.outcomesinsights.com/our-services/analyses-of-observational-data
Epidemiology, Health Economics, and Bioinformatics. Analyses of Observational Data. Analyses of Observational Data. Analyses of Observational Data. Analyses of Observational Data. Analyses of Observational Data. Selected publications are listed below:. Bradbury, B. D., Danese, M. D. Critchlow, C. W. Effect of Epoetin alfa dose changes on hemoglobin and mortality in hemodialysis patients with hemoglobin levels persistently below 11 g/dL. ClinJAm.Soc.Nephrol. 2009. 4: 630-637. Danese, M. D. Rabbit in A Hat.
outcomesinsights.com
Model Adaptation – Outcomes Insights
http://www.outcomesinsights.com/our-services/model-adaptation
Epidemiology, Health Economics, and Bioinformatics. Analyses of Observational Data. 2801 Townsgate Road Suite 330. Phone: 1.805.498.0034. Web: Outcomes Insights, Inc. Rabbit in A Hat. June 18th, 2015. NHANES data in R. July 10th, 2015. Updated nhanes.tools R package. July 14th, 2016. February 29th, 2016.
outcomesinsights.com
NHANES data in R – Outcomes Insights
http://www.outcomesinsights.com/2015/07/10/nhanes-data-in-r
Epidemiology, Health Economics, and Bioinformatics. Analyses of Observational Data. NHANES data in R. NHANES data in R. NHANES data in R. Is a national survey of health in the US, conducted every 2 years. Unfortunately, all the data are stored as SAS transport files, and there are many files for each 2-year wave. We are slowly working on a package for NHANES analyses and have put some scripts. I was looking for a reason to play with the NHANES data to think about creating some analysis-related functions,...