"Understanding Biostatistics" looks at the fundamentals of
biostatistics, using elementary statistics to explore the nature of
statistical tests.
This book is intended to complement first-year statistics and
biostatistics textbooks. The main focus here is on ideas, rather
than on methodological details. Basic concepts are illustrated with
representations from history, followed by technical discussions on
what different statistical methods really mean. Graphics are used
extensively throughout the book in order to introduce mathematical
formulae in an accessible way.
Key features: Discusses confidence intervals and p-values in
terms of confidence functions. Explains basic statistical
methodology represented in terms of graphics rather than
mathematical formulae, whilst highlighting the mathematical basis
of biostatistics. Looks at problems of estimating parameters in
statistical models and looks at the similarities between different
models. Provides an extensive discussion on the position of
statistics within the medical scientific process. Discusses
distribution functions, including the Guassian distribution and its
importance in biostatistics.
This book will be useful for biostatisticians with little
mathematical background as well as those who want to understand the
connections in biostatistics and mathematical issues.
General
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