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Analytics | Data Visualization | Learn SAS

Rick WicklinDecember 20, 2017 4

I previously showed an easy way to visualize a regression model that has several continuous explanatory variables: use the SLICEFIT option in the EFFECTPLOT statement in SAS to create a sliced fit plot. The EFFECTPLOT statement is directly supported by the syntax of the GENMOD, LOGISTIC, and ORTHOREG procedures in

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Analytics | Data Visualization | Learn SAS

Visualize multivariate regression model by slicing the continuous variables. Graph created by using the EFFECTPLOT SLICEFIT statement in SAS.

Rick WicklinDecember 18, 2017 5

Visualize multivariate regression models by slicing continuous variables

Slice, slice, baby! You've got to slice, slice, baby! When you fit a regression model that has multiple explanatory variables, it is a challenge to effectively visualize the predicted values. This article describes how to visualize the regression model by slicing the explanatory variables. In SAS, you can use the

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Analytics

Bias in regression for mean-imputed explanatory variables

Rick WicklinDecember 6, 2017 1

3 problems with mean imputation

In a previous article, I showed how to use SAS to perform mean imputation. However, there are three problems with using mean-imputed variables in statistical analyses: Mean imputation reduces the variance of the imputed variables. Mean imputation shrinks standard errors, which invalidates most hypothesis tests and the calculation of confidence

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Analytics | Programming Tips

Beta-binomial distribution and expected values in SAS

Rick WicklinNovember 20, 2017 9

Simulate data from the beta-binomial distribution in SAS

This article shows how to simulate beta-binomial data in SAS and how to compute the density function (PDF). The beta-binomial distribution is a discrete compound distribution. The "binomial" part of the name means that the discrete random variable X follows a binomial distribution with parameters N (number of trials) and

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Analytics

Principal component regression in SAS: Loadings plot

Rick WicklinOctober 25, 2017 2

Should you use principal component regression?

This article describes the advantages and disadvantages of principal component regression (PCR). This article also presents alternative techniques to PCR. In a previous article, I showed how to compute a principal component regression in SAS. Recall that principal component regression is a technique for handling near collinearities among the regression

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Analytics | Learn SAS

Rick WicklinOctober 23, 2017 6

Principal component regression in SAS

A common question on discussion forums is how to compute a principal component regression in SAS. One reason people give for wanting to run a principal component regression is that the explanatory variables in the model are highly correlated which each other, a condition known as multicollinearity. Although principal component

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Analytics | Learn SAS

Diffogram for multiple comparisons of means in SAS

Rick WicklinOctober 18, 2017 8

The diffogram and other graphs for multiple comparisons of means

In a previous article, I discussed the lines plot for multiple comparisons of means. Another graph that is frequently used for multiple comparisons is the diffogram, which indicates whether the pairwise differences between means of groups are statistically significant. This article discusses how to interpret a diffogram. Two related plots

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Analytics | Data Visualization | Learn SAS

Lines plot for multiple comparison of means in SAS

Rick WicklinOctober 16, 2017 13

Graphs for multiple comparisons of means: The lines plot

Last week Warren Kuhfeld wrote about a graph called the "lines plot" that is produced by SAS/STAT procedures in SAS 9.4M5. (Notice that the "lines plot" has an 's'; it is not a line plot!) The lines plot is produced as part of an analysis that performs multiple comparisons of

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Analytics | Data Visualization | Learn SAS

Rick WicklinOctober 4, 2017 1

Create and interpret a weighted histogram

If you perform a weighted statistical analysis, it can be useful to produce a statistical graph that also incorporates the weights. This article shows how to construct and interpret a weighted histogram in SAS. How to construct a weighted histogram Before constructing a weighted histogram, let's review the construction of

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Analytics | Learn SAS

Visualization of regression that uses a weight variable in SAS

Rick WicklinOctober 2, 2017 61

How to understand weight variables in statistical analyses

How can you specify weights for a statistical analysis? Hmmm, that's a "weighty" question! Many people on discussion forums ask "What is a weight variable?" and "How do you choose a weight for each observation?" This article gives a brief overview of weight variables in statistics and includes examples of

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