analytics
analytics conference
Building Business Intelligence
certification
data analysis
data mining
Enterprise guide
Everything
General
Getting Started
headline
Just for Fun
learn sas
macro
map
Matrix Computations
Programming
R
Sampling and Simulation
SAS
sas/graph
SAS 9.2
SAS 9.3
SAS 9.4
SAS Books
SAS Enterprise Guide
SAS Global Forum
sas press
sas programming
SAS tips
sas training
Serendipity
SGF
simulation
site usage
Statistical Graphics
Statistical Programming
Statistics
Stored Processes
syntax
Tips and Techniques
tips and tricks
Training
Uncategorized
Web Report Studio

Reader Annisa Mike asked in a comment on an early post about power calculation for logistic regression with an interaction.

This is a topic that has come up with increasing frequency in grant proposals and article submissions. We'll begin by showing how to simulate data with the interaction,...

Read more »

This is a topic that has come up with increasing frequency in grant proposals and article submissions. We'll begin by showing how to simulate data with the interaction,...

Read more »

I have been at SAS for 7 years and up until 10 days ago, I had never been asked this question. Since then, I've been asked four times, so now must be the time to answer it! Question: Can we simply use a linear regression model to predict the response ...

Read more »

Recently a student asked about the difference between confint() and confint.default() functions, both available in the MASS library to calculate confidence intervals from logistic regression models. The following example demonstrates that they yield d...

Read more »

Read more »

Read more »

In logistic regression, when the outcome has low (or high) prevalence, or when there are several interacted categorical predictors, it can happen that for some combination of the predictors, all the observations have the same event status. A similar e...

Read more »

This is a special R-only entry.In Example 8.7, we showed the Hosmer and Lemeshow goodness-of-fit test. Today we demonstrate more advanced computational approaches for the test.If you write a function for your own use, it hardly matters what it looks l...

Read more »

The Hosmer and Lemeshow goodness of fit (GOF) test is a way to assess whether there is evidence for lack of fit in a logistic regression model. Simply put, the test compares the expected and observed number of events in bins defined by the predicted p...

Read more »

SAS and all other SAS Institute Inc. product or service names are registered trademarks or trademarks of SAS Institute Inc. in the USA and other countries. ® indicates USA registration.