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discrete

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

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  • Interpreting the Shapes of Hazard Functions in Survival Analysis
  • Six Types of Survival Analysis and Challenges in Learning Them
  • What is Survival Analysis and When Can It Be Used?
  • Member Training: Cox Regression

Differences Between the Normal and Poisson Distributions

by Karen Grace-Martin 4 Comments

The normal distribution is so ubiquitous in statistics that those of us who use a lot of statistics tend to forget it’s not always so common in actual data.

And since the normal distribution is continuous, many people describe all numerical variables as continuous. I get it: I’m guilty of using those terms interchangeably, too, but they’re not exactly the same.

Numerical variables can be either continuous or discrete.

The difference? Continuous variables can take any number within a range. Discrete variables can only be whole numbers.

So 3.04873658 is a possible value of a continuous variable, but not discrete.

Count variables, as the name implies, are frequencies of some event or state. Number of arrests, fish [Read more…] about Differences Between the Normal and Poisson Distributions

Tagged With: continuous variable, discrete, negative binomial, normal distribution, normality, numeric variable, Poisson Regression

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  • The Importance of Including an Exposure Variable in Count Models
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When a Variable’s Level of Measurement Isn’t Obvious

by Karen Grace-Martin 24 Comments

A central concept in statistics is a variable’s level of measurement. It’s so important to everything you do with data that it’s usually taught within the first week in every intro stats class.

But even something so fundamental can be tricky once you start working with real data. [Read more…] about When a Variable’s Level of Measurement Isn’t Obvious

Tagged With: continuous variable, Count data, discrete, level of measurement, Likert Scale, nominal variable, ordinal variable

Related Posts

  • Member Training: Determining Levels of Measurement: What Lies Beneath the Surface
  • Pros and Cons of Treating Ordinal Variables as Nominal or Continuous
  • When Linear Models Don’t Fit Your Data, Now What?
  • Member Training: Choosing the Best Statistical Analysis

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  • Analyzing Count Data: Poisson, Negative Binomial, and Other Essential Models (Jul 2022)
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