Blog Archives

Example 8.3: pyramid plots

August 30, 2010
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Example 8.3: pyramid plots

Pyramid plots are a common way to display the distribution of age groups in a human population. The percentages of people within a given age category are arranged in a barplot, often back to back. Such displays can be used distinguish males vs. femal...

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Using SAS for Data Management, Statistical Analysis, and Graphics

July 26, 2010
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Using SAS for Data Management, Statistical Analysis, and Graphics

Our newest book, Using SAS for Data Management, Statistical Analysis and Graphics, will soon be shipping from Amazon, CRC Press, and other fine retailers. The book complements our SAS and R book, particularly for users less interested in R. It presen...

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Using R for Data Management, Statistical Analysis and Graphics soon to start shipping

July 19, 2010
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Using R for Data Management, Statistical Analysis and Graphics soon to start shipping

Our newest book, Using R for Data Management, Statistical Analysis and Graphics, is anticipated to soon start shipping from Amazon, CRC Press, and other fine retailers. The book complements our existing SAS and R book, particularly for users less inte...

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Second year of entries!

June 28, 2010
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Second year of entries!

Hello, readers new and old!We started adding examples a year ago, in advance of the book's publication. To mark the occasion, we're closing chapter 7 and starting chapter 8 next week. We've crafted a listing of all entries from the first year and mad...

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Example 7.41: hazard function plotting

June 14, 2010
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Example 7.41: hazard function plotting

As we continue with our series on survival analysis, we demonstrate how to plot estimated (smoothed) hazard functions. RWe will utilize the routines available in the muhaz package. Background information on the methods can be found in K.R. Hess, D.M....

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Example 7.40: Nelson-Aalen plotting

June 7, 2010
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Example 7.40: Nelson-Aalen plotting

In our previous entry, we described how to calculate the Nelson-Aalen estimate of cumulative hazard. In this entry, we display the estimates for the time to linkage to primary care for both the treatment and control groups in the HELP study.RWe use the...

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Example 7.39: Nelson-Aalen estimate of cumulative hazard

May 31, 2010
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Example 7.39: Nelson-Aalen estimate of cumulative hazard

In our previous example, we demonstrated how to calculate the Kaplan-Meier estimate of the survival function for time to event data. A related quantity is the Nelson-Aalen estimate of cumulative hazard. In addition to summarizing the hazard incurred ...

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Example 7.38: Kaplan-Meier survival estimates

May 24, 2010
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Example 7.38: Kaplan-Meier survival estimates

In example 7.30 we demonstrated how to simulate data from a Cox proportional hazards model.In this and the next few entries, we expand upon support in R and SAS for survival (time-to-event) models. We'll start with a small, artificial dataset of 19 su...

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Example 7.37: calculation of Hotelling’s T^2

May 17, 2010
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Example 7.37: calculation of Hotelling’s T^2

Hotelling's T^2 is a multivariate statistic used to compare two groups, where multiple outcomes are observed for each subject. Here we demonstrate how to calculate Hotelling's T^2 using R and SAS, and test the code using a simulation study then apply ...

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Example 7.32: Add reference lines to a plot; fine control of tick marks

April 12, 2010
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Example 7.32: Add reference lines to a plot; fine control of tick marks

Sometimes it's useful to plot regular reference lines along with the data. For a time-series plot, this can show when critical values are reached in a clearer way than simple tick marks.As an example, we revisit the empirical CDF plot shown in Example...

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