Updated companion volume to the ever popular Statistics at Square One (SS1)
Statistics at Square Two, Second Edition, helps you evaluate the many statistical methods in current use. Going beyond the basics of SS1, it covers sophisticated methods and highlights misunderstandings. Easy to read, it includes annotated computer outputs and keeps formulas to a minimum.
Worked examples of methods such as multiple and logical regression reinforce the text. Each chapter concludes with exercises to stimulate learning.
All those who need to understand statistics in clinical research papers and apply them in their own research will value this compact and coherent guide.
Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.
M J Campbell, Professor of Medical Statistics, University of Sheffield, UK
Updated companion volume to the ever popular Statistics at Square One (SS1)
Statistical methods used in medical literature are increasingly complex but software available to apply these methods is becoming easier to use. The result is that consumers of the literature now have to grasp sophisticated methods which may be inappropriately applied.
This book covers the sophisticated statistical methods and goes beyond the basics of SS1. It reviews the most commonly used modern statistical methods and highlights common misunderstandings. It is easy to read, with annotated computer outputs and a minimum of formulas.
It provides worked examples of methods such as multiple and logistical regression and each chapter concludes with exercises to reinforce learning.
This is for all those who need to understand statistics in clinical research papers and apply them in their own research, such as junior doctors and general practitioners.
Updated companion volume to the ever popular Statistics at Square One (SS1)
Statistical methods used in medical literature are increasingly complex but software available to apply these methods is becoming easier to use. The result is that consumers of the literature now have to grasp sophisticated methods which may be inappropriately applied.
This book covers the sophisticated statistical methods and goes beyond the basics of SS1. It reviews the most commonly used modern statistical methods and highlights common misunderstandings. It is easy to read, with annotated computer outputs and a minimum of formulas.
It provides worked examples of methods such as multiple and logistical regression and each chapter concludes with exercises to reinforce learning.
This is for all those who need to understand statistics in clinical research papers and apply them in their own research, such as junior doctors and general practitioners.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
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