Inference Principles for Biostaticians
Statistical inference is the science of drawing conclusions on the basis of information that is subject to randomness. Biostatistics underpins the use of statistical inference in the health and medical sciences. This classroom-tested book presents the principles of statistical inference from a biostatistical perspective. It prepares students for more rigorous work on core methodologies, such as linear models, generalized linear models, survival analysis, longitudinal methods, and randomized trials. Each chapter includes one main example that provides context to the theoretical and conceptual foundations of biostatistics.