During the last twenty years statistical methodology has become of central importance in research studies in medicine and also in day-to-day clinical practice. The medical literature is now liberally punctuated not only with relatively routine statistical terms such as p-value, t-test, confidence interval, and correlation, but also with more esoteric items such as hazard function, multilevel model, generalized estimating equations and crossover design. Consequently researchers in medicine and clinicians who are not primarily statisticians need to have a source that provides readable accounts of these terms so that they can understand at least the essence of the statistical aspects of both the design and analysis of a reported investigation. The Encyclopedic Companion to Medical Statistics is that source, containing readable accounts of over 500 statistical topics central to current medical research, with each entry being written by an expert in the field. Examples and graphical material supplement the written material in many entries, and extensive cross-referencing sign posts the reader to other entries that are likely to be relevant.

Encyclopaedic Companion to Medical Statistics

Reference

Palmer, Chris

Everitt, Brian

Encyclopedias & Subject Guides

Hodder Education Publishers

A Handbook of Statistical Graphics Using SAS ODS

Easily Use SAS to Produce Your Graphics
 Diagrams, plots, and other types of graphics are indispensable components in nearly all phases of statistical analysis, from the initial assessment of the data to the selection of appropriate statistical models to the diagnosis of the chosen models once they have been fitted to the data. Harnessing the full graphics capabilities of SAS, A Handbook of Statistical Graphics Using SAS ODS covers essential graphical methods needed in every statistician’s toolkit. It explains how to implement the methods using SAS 9.4.
 The handbook shows how to use SAS to create many types of statistical graphics for exploring data and diagnosing fitted models. It uses SAS’s newer ODS graphics throughout as this system offers a number of advantages, including ease of use, high quality of results, consistent appearance, and convenient semiautomatic graphs from the statistical procedures. 
 Each chapter deals graphically with several sets of example data from a wide variety of areas, such as epidemiology, medicine, and psychology. These examples illustrate the use of graphic displays to give an overview of data, to suggest possible hypotheses for testing new data, and to interpret fitted statistical models. The SAS programs and data sets are available online.

Computers & Technology

Der, Geoff

Networking & Cloud Computing

Chapman and Hall/CRC

Chance continues to govern our lives in the 21st Century. From the genes we inherit and the environment into which we are born, to the lottery ticket we buy at the local store, much of life is a gamble. In business, education, travel, health, and marriage, we take chances in the hope of obtaining something better. Chance colors our lives with uncertainty, and so it is important to examine it and try to understand about how it operates in a number of different circumstances. Such understanding becomes simpler if we take some time to learn a little about probability, since probability is the natural language of uncertainty. This second edition of Chance Rules again recounts the story of chance through history and the various ways it impacts on our lives. Here you can read about the earliest gamblers who thought that the fall of the dice was controlled by the gods, as well as the modern geneticist and quantum theory researcher trying to integrate aspects of probability into their chosen speciality. Example included in the first addition such as the infamous Monty Hall problem, tossing coins, coincidences, horse racing, birthdays and babies remain, often with an expanded discussion, in this edition. Additional material in the second edition includes, a probabilistic explanation of why things were better when you were younger, consideration of whether you can use probability to prove the existence of God, how long you may have to wait to win the lottery, some court room dramas, predicting the future, and how evolution scores over creationism. Chance Rules lets you learn about probability without complex mathematics.

Chance Rules: An Informal Guide to Probability, Risk and Statistics

Science & Math

Mathematics

Copernicus

Each chapter consists of basic statistical theory, simple examples of S-PLUS code, plus more complex examples of S-PLUS code, and exercises. All data sets are taken from genuine medical investigations and will be available on a web site. The examples in the book contain extensive graphical analysis to highlight one of the prime features of S-PLUS. Written with few details of S-PLUS and less technical descriptions, the book concentrates solely on medical data sets, demonstrating the flexibility of S-PLUS and its huge advantages, particularly for applied medical statisticians.

Analyzing Medical Data Using S-PLUS (Statistics for Biology and Health)

Rabe-Hesketh, Sophia

Software

Springer

Advanced Methods of Data Analysis

Politics & Social Sciences

Social Sciences

Heinemann

This practical text has been reworked to provide an account of the subject of cluster analysis - the generic name for a wide variety of procedures involved with identifying groups within data. By organizing multivariate data into such subgroups clustering may help the investigator discover the characteristics of any structure or pattern present. However, applying the methods in practice requires considerable care and researchers may need guidance in order to avoid misinterpreting results. It offers an applied approach using limited mathematics, contains detailed descriptions of recent methods along with numerous examples and includes information on the software packages available. Other titles by Brian S. Everitt include "Talking About Statistics: A Psychologist's Guide to Design and Analysis" (with Dale F. Hay), "Applied Multivariate Data Analysis" (with Graham Dunn) and "Statistical Methods for Medical Investigations".

Cluster Analysis

History

Africa

Gower Pub.Co.

Cluster analysis (Reviews of current research ; 11)

Cluster analysis comprises a range of methods of classifying multivariate data into subgroups and these techniques are widely applicable. This new edition incorporates material covering developing areas such as Bayesian statistics & neural networks.

Heinemann Educational [for] the Social Science Research Council

Graphical techniques for multivariate data

Self-Help

North-Holland

This First Edition of Statistics moves the curriculum in innovative ways while still looking relatively familiar. Statistics utilizes intuitive methods to introduce the fundamental idea of statistical inference. These intuitive methods are enabled through statistical software and are accessible at very early stages of a course. The text also includes the more traditional methods such as t-tests, chi-square tests, etc., but only after students have developed a strong intuitive understanding of inference through randomization methods.The text is designed for use in a one-semester introductory statistics course. The focus throughout is on data analysis and the primary goal is to enable students to effectively collect data, analyze data, and interpret conclusions drawn from data. The text is driven by real data and real applications. Although the only prerequisite is a minimal working knowledge of algebra, students completing the course should be able to accurately interpret statistical results and to analyze straightforward data sets.

wiley

Psychologists need to know about statistics but they can easily get bogged down in unfamiliar jargon. This new dictionary is an invaluable reference for all undergraduate and postgraduate students of psychology. It provides definitions of the statistical terms most commonly encountered in psychological literature. It explains simply and clearly what the methods/topics are and how to apply them, and in many cases, some mathematical details and a numerical example follow a brief written account of a term. In addition, graphical material help make definitions clearer. This unique approach makes this dictionary an essential purchase for all students grappling with increasingly sophisticated statistical methods in their data analysis.

A Dictionary of Statistics for Psychologists

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