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hazard function

What Is a Hazard Function in Survival Analysis?

by Karen Grace-Martin

One of the key concepts in Survival Analysis is the Hazard Function.

But like a lot of concepts in Survival Analysis, the concept of “hazard” is similar, but not exactly the same as, its meaning in everyday English. Since it’s so important, though, let’s take a look. [Read more…] about What Is a Hazard Function in Survival Analysis?

Tagged With: Cox Regression, discrete, Event History Analysis, hazard function, Survival Analysis

Related Posts

  • Six Types of Survival Analysis and Challenges in Learning Them
  • What is Survival Analysis and When Can It Be Used?
  • Member Training: Cox Regression
  • Member Training: Discrete Time Event History Analysis

Parametric or Semi-Parametric Models in Survival Analysis?

by guest Leave a Comment

It was Casey Stengel who offered the sage advice, “If you come to a fork in the road, take it.”

When you need to fit a regression model to survival data, you have to take a fork in the road. One road asks you to make a distributional assumption about your data and the other does not. [Read more…] about Parametric or Semi-Parametric Models in Survival Analysis?

Tagged With: cox, distributions, exponential, gamma, hazard function, lognormal, parametric models, regression models, semi-parametric, survival data, Weibull

Related Posts

  • What Is a Hazard Function in Survival Analysis?
  • Six Types of Survival Analysis and Challenges in Learning Them
  • The Proportional Hazard Assumption in Cox Regression
  • What is Survival Analysis and When Can It Be Used?

Member Training: Cox Regression

by guest Leave a Comment

When you have data measuring the time to an event, you can examine the relationship between various predictor variables and the time to the event using a Cox proportional hazards model.

In this webinar, you will see what a hazard function is and describe the interpretations of increasing, decreasing, and constant hazard. Then you will examine the log rank test, a simple test closely tied to the Kaplan-Meier curve, and the Cox proportional hazards model.


Note: This training is an exclusive benefit to members of the Statistically Speaking Membership Program and part of the Stat’s Amore Trainings Series. Each Stat’s Amore Training is approximately 90 minutes long.

 

[Read more…] about Member Training: Cox Regression

Tagged With: Censoring, Cox proportional hazards model, discrete time, Event History Analysis, hazard function, Kaplan-Meier curve, logistic regression, Survival Analysis, Time to Event

Related Posts

  • Member Training: Discrete Time Event History Analysis
  • Six Types of Survival Analysis and Challenges in Learning Them
  • What is Survival Analysis and When Can It Be Used?
  • Censoring in Time-to-Event Analysis

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This Month’s Statistically Speaking Live Training

  • February Member Training: Choosing the Best Statistical Analysis

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  • Introduction to Generalized Linear Mixed Models (May 2021)

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