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Statistical inference is the science of drawing conclusions on the basis of information that is subject to randomness. Biostatistics is the discipline that underpins the use of statistical inference in the health and medical sciences. This book presents the principles of statistical inference from a biostatistical perspective.
The book is intended for students training to become biostatisticians, or as a background reference for practising biostatisticians. While much of the content is common to other areas of statistics, it is presented from the perspective of a biostatistician, with examples and exercises having a biostatistical flavour. The intention is to provide a sense of context to the theoretical and conceptual foundations of biostatistics. For over a decade the material in this book has been used as the basis for a onesemester foundation unit in a Master of Biostatistics program, delivered by a consortium of universities under the banner of the Biostatistics Collaboration of Australia.
The material provides theoretical underpinnings for subsequent units dealing with core methodologies such as linear models, generalized linear models, survival analysis, longitudinal methods and randomized trials. Thus, the intention in writing this book is not to provide a comprehensive review of biostatistical methods, but rather to lay the conceptual foundation that will prepare the reader for gaining a rigorous understanding of such methods.
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