TY  - BOOK
AU  -  Campbell Michael J.
AU  - Walters Stephen John ,Machin David  
TI  - Medical statistics:  : a textbook for the health sciences
SN  - 9781119423645
AV  - R853 .W35 2021
PY  - 2021///
CY  -  Chichester, West Sussex, 
PB  - Wiley-Blackwell
N1  - Michael J. Campbell's name appears first in earlier editions; Uses and Abuses of Medical Statistics
Displaying and summarising data
Summary measures for binary data
Probability and distributions
Populations, Samples, Standard Errors and Confidence Intervals
Hypothesis testing, P-values and statistical inference
Comparing two or more groups with continuously measured data
Comparing groups of binary and categorical data
Correlation and linear regression
Logistic Regression
Survival Analysis
Reliability and Method Comparison Studies
Evaluation of diagnostic tests
Observational Studies
The Randomised Controlled Trial
Sample Size Issues
Other statistical methods
Meta-analysis
Common Mistakes and Pitfalls

N2  - The fifth edition of this popular textbook provides students and practitioners with a clear, concise introduction to the statistics they will come across in their regular reading of clinical papers. Written by three experts with wide teaching and consulting experience, Medical Statistics: A Textbook for the Health Sciences, 5th Edition: Assumes no prior knowledge of statistics. Covers all essential statistical methods. Completely revised, updated and expanded. Includes numerous examples and exercises on the interpretation of the statistics in papers published in medical journals. Includes a companion website with downloadable data, new separate chapters on topics such as logistic regression; diagnostic tests; assessing the quality of statistics/reading the statistics in a scientific paper and other statistical methods (such as meta-analysis; the bootstrap; imputation of missing data and summary measures for analysing longitudinal data) and additional sections on designs such as pilot/feasibility studies; cluster and stepped wedge randomised controlled trials"
ER  -