Abstract
Our goal in writing this book was to provide researchers and students with a practical guide to the analysis of data from research studies focusing on the relationship between outcomes and multiple predictor variables. Through our experience as coinvestigators and instructors at the University of California, San Francisco, we have observed that students and researchers from many fields can benefit greatly from being able to conduct their own data analyses. Mastering these skills promotes better study designs, clearer and more informative papers and presentations, and more focused and productive interactions with professional statisticians concerning more advanced topics.
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Vittinghoff, E., Glidden, D.V., Shiboski, S.C., McCulloch, C.E. (2012). Summary. In: Regression Methods in Biostatistics. Statistics for Biology and Health. Springer, Boston, MA. https://doi.org/10.1007/978-1-4614-1353-0_13
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DOI: https://doi.org/10.1007/978-1-4614-1353-0_13
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