Inference Principles for Biostatisticians

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.

Ian Marschner has over 25 years of experience as a biostatistician working on health and medical research. He is currently a Professor of Statistics and Head of the Department of Statistics at Macquarie University. He is also a Professor of Biostatistics in the National Health and Medical Research Council (NHMRC) Clinical Trials Centre at the University of Sydney. Formerly, he was Director of the Asia Biometrics Centre with Pfizer and Associate Professor of Biostatistics at Harvard University.