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DOI: 10.1148/radiol.2292030324
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Primer on Multiple Regression Models for Diagnostic Imaging Research1

Ilana F. Gareen, PhD and Constantine Gatsonis, PhD

1 From the Center for Statistical Sciences, Brown University, Box G-H, 167 Angell St, Providence, RI 02912. Received February 19, 2003; revision requested March 25; revision received May 9; accepted May 20. Supported in part by National Cancer Institute grant CA79778. Address correspondence to I.F.G. (e-mail: igareen@stat .brown.edu).



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Figure a. Examples of fitted regression lines of the relation between the number of procedures per FTE radiologist and group size for academic and nonacademic groups, based on the analyses presented by Sunshine and Burkhadrt (1), show (a) no statistical interaction and (b) statistical interaction.

 


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Figure b. Examples of fitted regression lines of the relation between the number of procedures per FTE radiologist and group size for academic and nonacademic groups, based on the analyses presented by Sunshine and Burkhadrt (1), show (a) no statistical interaction and (b) statistical interaction.

 





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