Regression Methods in Biostatistics: Linear, Logistic, Survival, and Repeated Measures Models (Statistics for Biology and Health)
by Eric Vittinghoff, David V. Glidden, Stephen C. Shiboski, Charles E. Mcculloch
This reference introduces major regression methods used in biostatistics, including linear, logistic, survival, and repeated measures models. Designed for readers working across biology and health, it provides a structured foundation for understanding statistical modeling approaches and their role in analyzing biological and medical data.
About This Book
Regression Methods in Biostatistics presents statistical methods for analyzing data in biology and health-related fields.
The book covers linear, logistic, survival, and repeated measures models, offering a broad overview of important regression approaches.
It is suited to readers seeking an organized reference for studying biostatistical modeling and its applications.
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