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Logistic Regression Using SAS®: Theory and Application by Paul D. Allison

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9.3. Scientific Productivity Example

In Chapter 8, we studied a sample of 557 biochemists who got their doctorates in the late 1950s and early 1960s. Two of the variables in the data set are good candidates for Poisson regression: ARTS—the number of articles published by the biochemists before they received their degrees (counted in Chemical Abstracts) and CITS—the number of citations to those articles (counted in Science Citation Index). Output 9.1 and 9.2 show the marginal frequency distributions for these two variables.

Output 9.1. Frequency Distribution of Article Counts
 Cumulative Cumulative ARTS Frequency Percent Frequency Percent __________________________________________________ 0 332 59.6 332 59.6 1 111 19.9 443 79.5 2 57 10.2 500 ...

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