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Member Training: The Anatomy of an ANOVA Table

by Jeff Meyer

Our analysis of linear regression focuses on parameter estimates, z-scores, p-values and confidence levels. Rarely in regression do we see a discussion of the estimates and F statistics given in the ANOVA table above the coefficients and p-values.

And yet, they tell you a lot about your model and your data. Understanding the parts of the table and what they tell you is important for anyone running any regression or ANOVA model.

[Read more…] about Member Training: The Anatomy of an ANOVA Table

Tagged With: ANOVA, estimate, estimation, F test, R-squared, residuals, sum of squares, tables, types

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Member Training: An Introduction to Kaplan-Meier Curves

by guest contributer Leave a Comment

Survival data models provide interpretation of data representing the time until an event occurs. In many situations, the event is death, but it can also represent the time to other bad events such as cancer relapse or failure of a medical device. It can also be used to denote time to positive events such as pregnancy. Often patients are lost to follow-up prior to death, but you can still use the information about them while they were in your study to better estimate the survival probability over time.

This is done using the Kaplan-Meier curve, an approach developed by [Read more…] about Member Training: An Introduction to Kaplan-Meier Curves

Tagged With: curve, estimate, events, Kaplan-Meier curve, model, survival data, survival percentiles, survival probability

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