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CUBE is a 12-week program that educates and empowers undergraduate students in biostatistics through a full-time collaborative data analysis project, along with related professional development seminars, social events, and a final symposium where students present their research. Follow the link to read about the CUBE Program.
The Summer Intensive Workshop will be held from July 12 through July 16, 2021 online from 9 AM to 5 PM each day. This is a one-week (40-hour) introductory-level workshop with a focus on biostatistics and design of clinical trials. Registration fee: $1,000 ($600 for Residency & Fellowship Programs) This workshop may be eligible for tuition assistance benefits. Contact your benefits office for
Interested in learning about novel data analysis methods and tools for addiction research? To better understand the science of addiction disorders, the research community needs continuous development of novel methods across the translational research spectrum, from personalized medicine to epidemiology.
Advantages and disadvantages of longitudinal studies, types of analyses used in longitudinal studies, sources of potential bias. Advantages and disadvantages of cross-sectional studies, types of analyses used in cross-sectional studies, sources of potential bias in cross-sectional studies, same elements for ecological studies To watch the full training, please go here: https://www.youtube.com
The first section of this video lecture series discusses the process of developing a conceptual and statistical model that can most effectively test a hypothesis. The second section describes the role of systematic reviews of research literature and the statistical meta-analyses designed to collectively assess their findings.
In the first section, lectures cover potential sources of bias that can occur at all stages of research, and how to mitigate their impact on findings. The second section focuses on analysis of data in biomedical research, its presentation, statistical testing and conclusions.
Fundamentals of Clinical and Translational Science (FunCaTS) is a combination of 13 online modules strategically packaged together to enable medical professionals and allied health staff to expand their knowledge of the components of clinical and translational research. These components provide the fundamental knowledge to promote understanding of the process of bringing discoveries to the bedside
Are you ready to take a deeper dive into the world of clinical and translational science? Essentials of Clinical and Translational Science (ECaTS) provides medical professionals with foundational knowledge of research terminology, research methods and processes, clinical epidemiology, and biomedical statistics. Upon completion, learners understand basic terminology and methodological concepts in
In this seminar, you will learn how to perform a sample size calculation. This seminar will explain the parameters required for sample size analyses and review methods and tools for sample size calculations.
Overview of Study Design: This seminar presents a cursory description of experimental vs. observational studies, including ecological studies, descriptive studies, cross-sectional studies, case-control studies, cohort studies, case reports/series. To view full video of this seminar, please go to: https://youtu.be/ibWQnWdt2jM Presented by the Research Design, Epidemiology, and Biostatistics Core of
Presented by the Research Design, Epidemiology, and Biostatistics Core of Brown University, this bi-monthly Seminar Series offers instruction on data analysis (first Tuesday of each month), and study design (last Thursday of each month). The Seminars are available to attend in-person, or remotely via Zoom. A recording of each Seminar will be made available online for those who are unable to attend
Types of variables, summary statistics, measures of center, basic graphs (boxplots, histograms, etc)
Advantages and disadvantages of experimental studies, individual vs. group trials, preventive vs. therapeutic trials, parallel RCTs, factorial study design, new drug trials, sources of potential bias. Watch the full video here: https://youtu.be/fdgpFTo3bU0
This month's MHRI-GHUCCTS Monthly Statistical Seminar Series features Dr. Paul Kolm, Associate Director in the Department of Biostatistics and Biomedical Informatics at MedStar Health Research Institute. Although the p value debate among scientists and statisticians is nearly a century old, it has reached something of a crisis in the last few years. One scientific journal has banned the use of p
For Rapid Learning in #COVID-19 Treatment Comparisons In this one-hour webinar, Frank Harrell Jr, PhD, Professor of Biostatistics, Vanderbilt University and ACTS BERD SIG member, will explain the Bayesian fully sequential design and analysis plan for the 7-level COVID ordinal outcome scale for rapid learning and decision making.
Essentials of Biostatistics is an online resource of videos that cover fundamental concepts of medical biostatistics. Over 20 different topics are covered in short videos that can be watched and re-watched over the time of your subscription. This resource serves as a good primer to more advanced topics in biostatistics. Sample of topics covered: - Common Probability Distributions - Estimation and