For the keen student who does not want a book for mathematicians, this is an excellent first book on medical statistics." Essential Medical Statistics is a classic amongst medical statisticians.
This new edition of Medical Statistics at a Glance: Presents key facts accompanied by clear and informative tables and diagrams Focuses on illustrative examples which show statistics in action, with an emphasis on the interpretation of ...
Pearson's. correlation. Details of the method • It is used to estimate the strength of linear relationship between two continuous variables • It gives a correlation coefficient – often denoted by 'r' The yi and calculations their means ...
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.
This book deals with statistics in medicine in a simple way. The text is supported by abundant examples from medical data. This book aims to explain and simplify the process of data presentation.
New in this edition: Measuring survival: Kaplan-Meier survival curves; comparingsurvival in two or more groups.Hazard ratios and the Cox regressionmodel. Systematic review: methods and problems; combining results -meta-analytic methods.
Short, readable, and useful, this book provides the essential, basic information without becoming bogged down in the
Using real data and including dozens of interesting data sets, this bestselling text gives special attention to the presentation and interpretation of results and the many real problems that arise in medical research.
... 134, 135, 138 software, 142–144 survival parameterization, 130 nested case–control approach, 6 network algorithms, 52 Newton–Raphson (NR) algorithm, 154 Neyman–Pearson framework, 316, 317 non-informative, 310, 315, 318, 319, 321, ...
In the third edition of Medical Statistics from A to Z, I have added nearly 150 new definitions, many describing topics that have appeared in the medical statistical literature in the last five years or so.