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所在平台: Udemy |
课程主页: https://www.udemy.com/course/the-complete-survival-analysis-course-in-r/
课程评论：没有评论
课程名称：R语言完整生存分析课程 课程概述： 本课程旨在帮助学习者深入探索时间到事件数据，特别是生存分析，掌握在医学研究、公共卫生和社会科学中应用的基本技术。课程将为您提供理论理解和实践技能，使您能够自信地使用R语言进行生存分析。 适合人群： 无论您是学生、研究人员还是数据专业人员，本课程将带您了解生存分析的关键概念，从审查和生存函数到高级模型，如Cox比例风险回归。您不仅将学习理论，还将把这些知识应用于实际项目和数据集。 学习成果： 完成本课程后，您将能够： - 理解生存分析中的核心概念，如审查、风险函数和生存曲线。 - 掌握生存分析方法的基本原理，包括Kaplan-Meier分析、Log-rank检验和Cox回归。 - 熟练使用R语言进行生存分析及构建Cox回归模型。 - 创建汇总表和图表（例如，KM曲线、基线风险和风险率）。 - 评估和检验模型假设，并处理假设违规情况。 关于我： Lam Nguyen是一位敬业的教育者和富有经验的数据分析师，在生物技术、生物学以及统计分析与建模方面具有坚实的背景。他拥有Flinders大学的博士和硕士学位，并获得了Mahidol大学、大阪大学和河内大学（VNU）的额外资质。Lam曾担任讲师、研究助理和顾问，涉及澳大利亚和亚洲的学术及应用研究项目。凭借对编程、数据分析和终身学习的热情，Lam将学术严谨和实践洞察力融入课程中，确保学习者获得实用和适用的技能。
AIMS OF THE COURSEAre you ready to explore the world of time-to-event data, particularly survival analysis and master the essential techniques used in medical research, public health, and social sciences? This course is designed to equip you with both the theoretical understanding and practical skills needed to confidently perform survival analysis using R.WHO THIS COURSE IS FOR?Whether you're a student, researcher, or data professional, this course will walk you through key survival analysis concepts-from censoring and survival functions to advanced models like the Cox proportional hazards regression. You'll not only learn the theory but also apply it to real-world projects and datasets.OUTCOMESBy the end of the course, you will be able to:Grasp core concepts in survival analysis such as censoring, hazard functions, and survival curves.Understand the fundamentals of survival analysis methods including Kaplan-Meier analysis, Log-rank test, and Cox regression.Proficiently perform survival analyses as well as build Cox regression model using RCreate summary tables and charts (i.e., KM curve, baseline hazards and hazards rates)Evaluate and test model assumptions, and handle violations.ABOUT MYSELFLam Nguyen is a dedicated educator and experienced data analysis with a strong background in biotechnology, biology, and statistical analysis and modeling. He holds a PhD and MSc from Flinders University, with additional qualifications from Mahidol University, Osaka University, and Hanoi University of Science (VNU). Lam has served as a lecturer, research associate, and consultant, working across academic and applied research projects in Australia and Asia.With a passion for coding, data analysis, and lifelong learning, Lam brings both academic rigor and hands-on insight to this course, ensuring learners gain practical, applicable skills.
