Скачать или смотреть What Are Parametric Survival Models? - The Friendly Statistician

What Are Parametric Survival Models? In this informative video, we'll take a closer look at parametric survival models and their role in statistical modeling. These models are essential for analyzing time-to-event data, allowing researchers to predict when specific events may occur, such as medical outcomes or equipment failures. We'll cover the basic concepts behind parametric survival models, including the significance of probability distributions and the parameters that define them.

You'll learn about the various common distributions used in these models, such as Weibull, exponential, log-normal, and Gompertz. We'll explain the difference between survival functions and hazard functions, breaking down how they are calculated and interpreted. Additionally, we will discuss the advantages of parametric models over semi-parametric models, particularly in the context of long-term predictions in fields like health economics.

By the end of this video, you'll have a clearer understanding of how parametric survival models work and their practical applications in research. Whether you're a student, a researcher, or simply interested in statistical methods, this video will provide you with a solid foundation on the topic. Join us for this engaging discussion, and don't forget to subscribe to our channel for more informative content on measurement and data!

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