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Presentations:Plf515 Papers and Presentations

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Here is a list of my various presentations at SAS conferences

  1. Graphics for univariate data: Pie is delicious but not nutritious.
    Categories: NESUG 2012, Plf515 Papers and Presentations, Presentations
    When you have univariate data, that is, a single measure on a variety of units, the most common statistical graphic is a pie chart. But pie charts should not be used. Ever. When there are a lot of units, pie charts are unreadable. When there are only a few units, pie charts waste space. And ..→
  2. Multinomial and ordinal logistic using PROC LOGISTIC
    Categories: LOGISTIC Procedure, NESUG 2005, Plf515 Papers and Presentations, Presentations
    Explains what multinomial and ordinal logistic regression are and shows how to do them with PROC LOGISTIC.
  3. PROC LOGISTIC: Traps for the unwary
    Categories: LOGISTIC Procedure, NESUG 2008, Plf515 Papers and Presentations, Presentations
    This paper covers some 'gotchas' in SAS® PROC LOGISTIC. A 'gotcha' is a mistake that isn't obviously a mistake — the program runs, there may be a note or a warning, but no errors. Output appears. But it's the wrong output. This is not a primer on PROC LOGISTIC, much less on logistic ..→
  4. Quantile regression with PROC QUANTREG
    Categories: NESUG 2011, Plf515 Papers and Presentations, Presentations, QUANTREG Procedure
    Quantile regression is an underused method. I show how to do it with PROC QUANTREG.
  5. Scatterplots: Basics, enhancements, problems and solutions
    Categories: Plf515 Papers and Presentations, Presentations, SESUG 2011, SGPLOT Procedure, TEMPLATE Procedure
    How to create basic and complex scatterplots with SAS.
  6. Stopping stepwise: Why stepwise and similar selection methods are bad and what you should use
    Categories: GLMSELECT Procedure, NESUG 2007, Plf515 Papers and Presentations, Presentations
    A common problem in regression analysis is that of variable selection. Often, you have a large number of potential independent variables, and wish to select among them, perhaps to create a 'best' model. One common method of dealing with this problem is some form of automated procedure, such as ..→
  7. Super simple macros to make a statistician's life easier
    Categories: Macro Language, NESUG 2010, Plf515 Papers and Presentations, Presentations
    Illustrates how to use very basic macros to make your life as a data analyst easier.
  8. Using PROC NLMIXED and GLIMMIX to analyze dyadic data with a dichotomous DV
    Categories: GLIMMIX Procedure, NLMIXED Procedure, Plf515 Papers and Presentations, Presentations, SAS Global Forum 2007
    In the social and health sciences, data are often hierarchical (subjects nested in groups). One kind of hierarchy is the dyad, or couple, where each group consists of two subjects. Dyadic data pose particular problems for statistical analysis for several reasons: First, variation may occur at the ..→