Virginia A. Clark – författare

In the last decade, there have been significant changes in the way statistics is incorporated into biostatistical, medical, and public health research. Addressing the need for a modernized treatment of these statistical applications, Basic Statistics, Fourth Edition presents relevant, up-to-date coverage of research methodology using careful explanations of basic statistics and how they are used to address practical problems that arise in the medical and public health settings. Through concise and easy-to-follow presentations, readers will learn to interpret and examine data by applying common statistical tools, such as sampling, random assignment, and survival analysis.

Continuing the tradition of its predecessor, this new edition outlines a thorough discussion of different kinds of studies and guides readers through the important, related decision-making processes such as determining what information is needed and planning the collections process. The book equips readers with the knowledge to carry out these practices by explaining the various types of studies that are commonly conducted in the fields of medical and public health, and how the level of evidence varies depending on the area of research. Data screening and data entry into statistical programs is explained and accompanied by illustrations of statistical analyses and graphs. Additional features of the Fourth Edition include:

Basic Statistics, Fourth Edition is an ideal book for courses on biostatistics, medicine, and public health at the upper-undergraduate and graduate levels. It is also appropriate as a reference for researchers and practitioners who would like to refresh their fundamental understanding of statistical techniques.

"Clear and concise in its recommendations, this book should find its place on lists of required reading for all practical survey design and analysis courses."

--The Statistician

Although data processing is frequently thought to occur only after the data are collected, it actually occurs throughout the phase of study design, implementation, and analysis. Decisions made during the design of data collection instrument influence the kind of data and the format of the data available for analysis. Devoted entirely to data processing, this much needed volume addresses such key issues as: Should you create your own instrument for a questionnaire? How do you test a questionnaire? What are the characteristics of good data processing? How do you deal with missing data? How do you scale an evaluation and create subfiles for analysis? Processing Data begins with a discussion on the selection of the data selection techniques and how this impacts data processing and the data for later analysis. Each major section concludes with examples, and when appropriate, directs the reader to commonly available computer software that can aid in data processing.

This is the sixth edition of a popular textbook on multivariate analysis. Well-regarded for its practical and accessible approach, with excellent examples and good guidance on computing, the book is particularly popular for teaching outside statistics, i.e. in epidemiology, social science, business, etc. The sixth edition has been updated with a new chapter on data visualization, a distinction made between exploratory and confirmatory analyses and a new section on generalized estimating equations and many new updates throughout. This new edition will enable the book to continue as one of the leading textbooks in the area, particularly for non-statisticians.

Key Features: