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Post comments and access the JMP files here: https://community.jmp.com/t5/Learn-JM... Analysis of time-to-event data – often called survival or reliability analysis – is commonly taught in biostatistics, reliability engineering, and other domains. JMP’s suite of survival and reliability tools support comprehensive teaching of key concepts and techniques in this domain, including survival and hazard functions, censoring, Kaplan-Meier analysis, parametric survival modeling, and more. This webinar provides a tutorial on JMP tools for teaching these concepts and techniques, as as well as a brief review of JMP tools for more specialized reliability analyses common in industry, such as accelerated life testing. We also point you to relevant free teaching resources from the JMP Academic team. Recorded Feb. 21, 2024. Register for upcoming live JMP Academic webinars at https://www.jmp.com/academic-webinars. Try JMP: https://www.jmp.com/try JMP Academic resources: https://www.jmp.com/academic JMP for Students https://www.jmp.com/student 0:00 Introduction 4:28 Kaplan-Meier Analysis 14:17 Proportional Hazards Models 26:30 Estimating Time-to-Event Distributions 36:55 Left and Interval Censoring 40:40 Parametric Survival Models 47:40 Accelerated Life Testing 53:41 Degradation Analysis 56:28 Teaching Resources