Statistics in clinical trials. Part 3

Partner: Udemy
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Description: Who Is This Course For?Are you working in clinical research or looking to enhance your expertise in medical statistics? If so, this course is for you! Statistics in Clinical Trials – Part 3 is designed for professionals who want to build upon their existing knowledge of statistics and explore advanced methods used in real-world clinical studies.This course covers the most widely used statistical models in clinical trials, including Kaplan-Meier survival curves, Cox proportional hazards models, and linear mixed-effects models. Additionally, you will learn various approaches for estimating sample sizes—an essential skill for designing robust clinical studies.We also explore the latest trends in modern clinical research, providing valuable insights into how statistical methods are evolving in the field.This course is ideal for:Clinical researchers and professionals working with medical dataScientists and academics involved in medical researchStatisticians seeking to apply their knowledge to clinical settingsAnyone with a basic understanding of statistics who wants to deepen their expertise in clinical trial analysisIf you have a background in statistics and are eager to see its practical applications in medicine, this course will give you the tools to analyze and interpret clinical data effectively.What Will You Learn?By the end of this course, you will:Master survival analysis techniques, including Kaplan-Meier curves and Cox regression modelsUnderstand and apply linear mixed-effects models in clinical researchLearn how to perform equivalence testing and interpret results in a medical contextDevelop the skills to calculate sample sizes for various types of clinical trialsGain insights into emerging trends and statistical challenges in modern clinical research.</
Category: Teaching & Academics > Math > Statistics
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Price: 114.99
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Source: Impact
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