You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
None
None
None
The days blend together as you hole up at home for the nth week running. Who knows what the next pandemic update will bring? Who knows when we'll meet another living person? Or how? NutMag 5: Lost channels all our pandemic feelings, exploring our fragile grip on reality, the disconnect we feel with others as we quarantine and self-isolate, and grapples with the presence of death and loss.
None
The book aims to provide both comprehensive reviews of the classical methods and an introduction to new developments in medical statistics. The topics range from meta analysis, clinical trial design, causal inference, personalized medicine to machine learning and next generation sequence analysis. Since the publication of the first edition, there have been tremendous advances in biostatistics and bioinformatics. The new edition tries to cover as many important emerging areas and reflect as much progress as possible. Many distinguished scholars, who greatly advanced their research areas in statistical methodology as well as practical applications, also have revised several chapters with relev...
This textbook consists of three parts: basic concepts of statistics, advanced statistical methods, and design and analysis for medical research. Each chapter begins with challenging medical problems and related statistical methods and theories; to make the statistical ideas more easily understood, there is a section of “computer experiments” in each chapter where some basic statistical phenomena and related concepts are revealed. The statistical software SAS is used to carry out related statistical calculations.The aim of this book is to make medical students and researchers grasp easily the most useful tools of statistics for their medical research. It is done through various applications to a great number of medical problems, interesting demonstration of well-designed computer experiments and detailed explanation of statistical thinking.