Large Database Analysis Research
The gold mine hidden in plain site
Nowadays, research is considered a requirement at every step of medical and surgical training: entering medical school, matching into a residency or a fellowship and getting promoted from an instructor of Medicine to Assistant, Associate, and Professor of Medicine.
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If you would like to overhaul your CV by adding research abstracts, oral presentations, published articles and research awards to it within the time frame to apply for the match, then the Online Catalyst Workshop was made specifically for you.
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Large database analysis research is the perfect solution to all the problems above. It can be done:
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Without the need for funding
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Without the need for special equipment or a lab space
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Without the need for research assistants or data gathering
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Without the need for a statistician
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Anywhere: home, hospital, on-call room, coffee shop, beach, ski resort... All you need is a computer
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Fast: since no data collection is needed, it is the fastest way to produce high quality research and turn it to posters and oral presentations at national meetings, peer-reviewed published articles and win awards
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Quarantine/Pandemic proof: It is perfectly adapted to being alone and confined to one space
Founded in 2014 by Marc Georgi, MD who is also the current research director, we are a consulting firm that specializes in teaching and helping researchers conduct large database analysis research. Our goal is to provide physicians, fellows , residents, medical students and medical providers the statistical knowledge and computer programming skills they need to produce high quality rigorous clinical research in a timely manner to achieve the next step in their career.
The Online Catalyst workshop has been carefully designed to teach participants step-by-step, click-by-click everything they need to know to independently conduct research studies using the National Inpatient Sample (NIS) and the National Emergency Department Sample (NEDS).
The course material has been curated to offer both a practical statistical knowledge away from mathematical derivations and actual STATA programming skills. This unparalleled curriculum has been refined over the course of a decade through the input of more than 500 participants and 17 in-person workshops. The course director, Marc Georgi, MD, brings his training at Harvard School of Public Health and Johns Hopkins Blumberg School of Public Health as well as his many years of experience with large database research to the course . This ensures that participants can immediately put their newly-learned skills to use upon completion of the course.
Who We Are
Catalyst Medical Consulting
Theoretical Section
The theoretical part is a series of videos during which the statistical knowledge and scientific principles needed to conduct large database analysis research is presented.
The topics covered are:
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Overview of Nationwide Inpatient Sample (NIS) and Nationwide Emergency Department Sample (NEDS)
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Type of studies that can be conducted using NIS/NEDS
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Type of studies that cannot be conducted using NIS/NEDS
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In depth look at the ICD-9 and ICD-10 CM codes
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Hypothesis testing, p-values and confidence intervals
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Confounders and ways to adjust for them
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Linear regression (univariate and multivariate)
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Logistic regression (univariate and multivariate)
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Multivariate analysis model building
Hands-on Section
During the hands-on section, participants practice all steps involved in completing a research project:
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Locating NIS online and ordering it
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Uploading NIS to STATA
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Using STATA commands and do loops:
- Creating, modifying and deleting variables
- Defining the patient cohort and exposure of interest using ICD-9 CM and ICD-10 CM codes
- Identifying principal and secondary diagnoses as well as procedures using ICD-9 CM and ICD-10 CM codes
- Calculating weighted totals, means (continuous variables) and proportions (binary or categorical variables)
- Calculating p-values with student t-test, ANOVA, chi-square and fisher's exact tests
- Adjusting for confounders using multivariate linear and logistic regression analysis
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Participants also go over the complete do file of an already published research article using NIS line by line, command by command to understand how everything fits together. This do file can also be used as a template for future research projects
