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The CLIC Education Clearinghouse is a centralized space where the CTSA community can find and share a variety of education and workforce development resources for a broad range of audiences, from the general public to Principal Investigators. Users can select and filter through a number of different areas: learning domains, tags (keywords), target learners, and more. Each entry presents a detailed profile of the resource so that users can efficiently choose a resource that’s right for them. These detailed profiles provide links (and access instructions, if needed) to the resources on the hub or external institution that is hosting the content.
This is the first of five sessions Session 1: Overview of systematic literature reviews (SLR) and meta-analysis and key considerations when performing a SLR Session 2: Designing data abstraction forms and quality and bias assessment tools Session 3: Heterogeneity, pooling data – fixed vs. random effects, and publication bias Session 4: MOOSE and PRISMA criteria Session 5: Meta-Analysis of
This is the fourth in a series of five sessions. Session 1: Overview of systematic literature reviews (SLR) and meta-analysis and key considerations when performing a SLR Session 2: Designing data abstraction forms and quality and bias assessment tools Session 3: Heterogeneity, pooling data – fixed vs. random effects, and publication bias Session 4: MOOSE and PRISMA criteria Session 5: Meta
This 2-hour interactive workshop "Tips for Collecting High-Quality Qualitative Data" is based on a unique qualitative research support service offered by the Southern California Clinical and Translational Science Institute (SC CTSI) core group called Biostatistics, Epidemiology and Research Design (BERD) and provided by Dr. Rachel Ceasar. Workshop facilitators, including Dr. Ceasar, offer tips for
Electronic medical record (EMR) data is encoded in patient charts through the course of clinical care and subsequent patient billing. Coded data in the electronic records (such as information stored as ICD/CPT/LOINC/RxNorm codes) provide vast amounts of valuable patient data. However, effectively applying data science tools to EMR data requires understanding dataset limitations and avoiding common
This module gives an overview of different gerontologized measures and resources.
The webcast describes methods for implementing data governance, ensuring data provenance and improving the ETL process
In this 60-minute interactive workshop provided by the Education Resource Center (ERC) at the Southern California Clinical and Translational Science Institute (SC CTSI), facilitators will offer a new planning resource and workflow for coaching presenters on how to optimize the organization of their webinars and workshops. Using the provided resource as a template should assist with the marketing
Learn how to facilitate data operation in and between CTSA hubs. Also hear from experts at the Mayo Clinic on how to manage research metadata, such as information that would go to ClinicalTrials.gov, CRMS, and IRB systems.
This talk was presented as part of The Odyssey of OHDSI: Using Health Care Data for Research. You will be introduced to using one of the most mature OHDSI analytic tool sets in developing patient-level prediction models.
This talk was presented as part of The Odyssey of OHDSI: Using Health Care Data for Research. You will learn how data are represented by vocabularies in the OMOP CDM and how to use the ATLAS toolset to define cohorts. Presented by Christian Reich, MD, PhD, Real World Analytics Solutions, IQVIA
The D.K. Kim International Center for Regulatory Science, in conjunction with the Southern California Clinical and Translational Science Institute and the Greater Los Angeles Clinical and Translational Sciences Awards Consortium, hosts boot camps on current regulatory science topics regarding clinical trials. Boot camps are designed to address the needs of the clinical research team members, but
This introductory course outlines basic data management concepts and demonstrates how data managers, or other study team members, can work to improve data quality. You will learn to speak the language of data management and discover how the concepts presented can be applied to the everyday management of research data. Topics include understanding basic data management terminology, outlining data
These Precision Snippets are a seven-part step-by-step video tutorial series on how to access health data in NHANES, FL Health Charts, Agency for Toxic Substances and Disease Registry (ATSDR), National Environmental Public Health Tracking Network (NEPHT), and Florida Water Management Inventory (FLWMI). These videos were commissioned by UF CTSI, based on the UF CTSI “Accessing Environmental Health