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Inference Principles for Biostatisticians (2014) by Ian C Marschner pdf [Dr Soc]

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  Inference Principles for Biostatisticians by
Ian C. Marschner
  English | 2014 | ISBN: 148222223X | 274 pages | PDF | 2.4 MB
  
  Designed for
students training to become biostatisticians as well as practicing biostatisticians, Inference Principles for
Biostatisticians presents the theoretical and conceptual foundations of biostatistics. It covers the theoretical
underpinnings essential to understanding subsequent core methodologies in the field.
  
  Drawing on his
extensive experience teaching graduate-level biostatistics courses and working in the pharmaceutical industry, the
author explains the main principles of statistical inference with many examples and exercises. Extended examples
illustrate key concepts in depth using a specific biostatistical context. In addition, the author uses simulation to
reinforce the repeated sampling interpretation of numerous statistical concepts. Reducing the computational
complexities, he provides simple R functions for conducting simulation studies.
  
  This text gives graduate
students with diverse backgrounds across the health, medical, social, and mathematical sciences a solid, unified
foundation in the principles of statistical inference. This groundwork will lead students to develop a thorough
understanding of biostatistical methodology.
  
  
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