Survival Analysis Hands-on R Software by Professor Arvind Pandey скачать в хорошем качестве

Survival Analysis Hands-on R Software by Professor Arvind Pandey

Survival Analysis | FDP-ASTAEDA-2024 | Prof. Arvind Pandey | CHRIST (Deemed to be University) 🎥 Welcome to this insightful session on Survival Analysis! This lecture was delivered by Professor Arvind Pandey, Former Head of the Department of Statistics, Central University of Rajasthan, as part of the Faculty Development Program (FDP-ASTAEDA-2024) hosted by CHRIST (Deemed to be University), Yeshwanthpur Campus. 📌 About the Lecture: Survival Analysis is a crucial statistical technique used in various domains such as medicine, engineering, economics, and social sciences. It deals with time-to-event data and is widely applied in clinical trials, reliability studies, and risk analysis. In this session, Prof. Arvind Pandey provides a comprehensive introduction to the key concepts of survival analysis, backed by practical demonstrations using R software. The lecture covers both theoretical foundations and hands-on applications, making it useful for both beginners and advanced learners. 📝 Topics Covered: ✔ Survival Function – Understanding the probability of survival over time. ✔ Hazard Function – Analyzing the risk of an event occurring at a specific time. ✔ Kaplan-Meier Method – A non-parametric estimator used for survival probability estimation. ✔ Censoring Scheme – Handling incomplete or lost survival time data. ✔ Frailty Models – Introducing random effects to account for unobserved heterogeneity in survival data. ✔ Hands-on Demonstration with R Software – Practical implementation of survival analysis techniques. 🎯 Who Should Watch? This lecture is ideal for: 🔹 Students and Researchers in Statistics, Data Science, and Biostatistics 🔹 Professionals in Healthcare, Finance, and Engineering working with time-to-event data 🔹 Academicians and Scholars exploring Survival Analysis methodologies 🔹 Anyone interested in learning data-driven decision-making techniques 🔥 Key Takeaways: 📊 Gain a deep understanding of survival analysis concepts. 📊 Learn how to analyze censored data effectively. 📊 Master the Kaplan-Meier method and hazard functions. 📊 Explore the role of frailty models in survival data interpretation. 📊 Apply these techniques using R software for real-world scenarios. ✅ If you found this lecture useful, don't forget to: 👍 Like the video 🔔 Subscribe to our channel for more such informative sessions 📢 Share this video with your peers #SurvivalAnalysis #Statistics #DataScience #FDP2024 #KaplanMeier #HazardFunction #FrailtyModels #RSoftware #AcademicLecture #CHRISTUniversity #CensoringScheme #datascience #data #dataanalytics #datavisualization #censoring