This latest edition is highly recommended both as an excellent introduction to medical statistics and as a valuable tool in explaining the more complex statistical methods and techniques used today.
Calculating survival probabilities and the proportion surviving: the Kaplan–Meier table The Kaplan–Meier method requires a Kaplan–Meier table like Figure25.3, with, strictly speaking, rows only for time periods when a death occurs ...
Understanding risk -- Putting risk in perspective -- Risk charts : a way to get perspective -- Judging the benefit of a health intervention -- Not all benefits are equal : understand the outcome -- Consider the downsides -- Do the benefits ...
Understanding Medical Statistics
Key concepts covered in this book include: • hypothesis testing • Kaplan–Meier curves and other graphic representations of data • calculating the power of a study • the stopping rules for efficacy and futility.
Do you get confused between odds ratios and relative risks? Want to understand the difference between sensitivity and specificity? Would like to find out what the fuss is about Bayes' theorem? Then this book is for you!
Cox, D. R. and Oakes, D. (1984). Analysis of Survival Data. New York: Chapman & Hall. Cutler, S. J. and Ederer, F. (1958). Maximum utilization of the life table method in analyzing survival. Journal of Chronic Diseases, 8, 699–712.
Van Steen K, Curran D, Kramer J, Molenberghs G, Van Vreckem A, Bottomley A, Sylvester R. Multicollinearity in prognostic factor analyses using the EORTC QLQC30: identification and impact on model selection. Stat Med 2002; 21:3865–3884.
This second edition combines information from the original two books, Statistics from Scratch and Statistics Further from Scratch, to make one, comprehensive, user friendly, down-to-earth guide to elementary statistics.
Now in its Fourth Edition, An Introduction to Medical Statistics continues to be a 'must-have' textbook for anyone who needs a clear logical guide to the subject. Written in an...
A concise, straightforward introduction to medical statistics, this book covers all the topics which a medical student or research worker is likely to encounter in routine work.