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Meet the Instructors CYNTHIA GARVAN, MA, PHD TERRIE VASILOPOULOS, PHD Research Assistant Professor in Anesthesiology Research Professor in Anesthesiology and Orthopaedics and Rehabilitation Course Objectives Review fundamentals of study design and research methodology Understand how to choose best statistical test for your research question Practice basic statistical analysis use JMP Pro Software Course Topics Asking a Good Research Question Life Cycle of Research and the Scientific Method Study Design Data types and Database Construction Descriptive Statistics Data Visualization Population and Sample, Probability, Statistical Inference How to Chose Correct Statistical Method and Run Some Analyses T-tests, ANOVA, Non-Parametric Chi-square, odds ratio, relative risk Regression and Correlation Survival Analysis Test Diagnostics (e.g. sensitivity, specificity, etc.) Comparing Statistical Modeling and Machine Learning Population and Sample, Probability, Statistical Inference 4/7/2021 Why is this topic important? Not being able to study an entire population is why we need inferential statistics! The GOAL of statistical inference is to understand something about populations using sample data. For example: we may wish to know a population proportion (symbol = p) or a population mean (symbol = m). Often the goal of clinical trials is to compare groups on population proportion (e.g., post operative delirium) or population mean (e.g., length of stay after surgery).
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