Welcome to the 2009-2010 Cambridge University Press Online Biostatistics Catalog

Our titles feature the latest published technology, as well as the most current trends in the industry, by some of the world's most prestigious authors in Biostatistics. Please use the menu at left to help you navigate through our catalog.

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Measuring Truth and Uncertainty

S. Nassir Ghaemi

Edited by Andrew Gelman, Jeronimo Cortina

Social science students become experts in their own fields but often don’t learn much about the other social sciences. Derived ...

Edited by Paolo Gibilisco, Eva Riccomagno, Maria Piera Rogantin, Henry P. Wynn

Edited by Nils Lid Hjort, Chris Holmes, Peter Müller, Stephen G. Walker

Models, Reasoning and Inference

Judea Pearl

Lawrence S. Meyers, Glenn Gamst, A. J. Guarino

Geoff Dougherty

Dan Mayer

Thomas B. Newman, Michael A. Kohn

Pranab K. Sen, Julio M. Singer, Antonio C. Pedroso de Lima

Sean Meyn, Richard L. Tweedie, Prologue by Peter W. Glynn

Computational Analysis

Aidong Zhang

A Simple Introduction to the Analysis of Complex Data

William D. Dupont

Theory and Practice

David A. Freedman

A Dialogue with the Social Sciences

David A. Freedman, Edited by David Collier, Jasjeet Sekhon, Philip B. Stark

A Practical Approach to Phylogenetic Analysis and Hypothesis Testing

Edited by Philippe Lemey, Marco Salemi, Anne-Mieke Vandamme

Natural Sciences, Social Sciences, and the Humanities in the 21st Century

Jerome Kagan

A Practical Guide for Medical Researchers

Jos W. R. Twisk

This is a practical introduction to multilevel analysis suitable for all those doing research. It addresses the issues that confront ...

A Practical Guide

Sarah Boslaugh

Secondary data analysis plays an increasingly important role in epidemiology and public health research and practice, but many difficulties confront ...

Steve Selvin

This practical guide to survival data and its analysis for readers with a minimal background in statistics shows why the ...

David Pollard

Rigorous probabilistic arguments, built on the foundation of measure theory introduced seventy years ago by Kolmogorov, have invaded many fields. ...

Case Studies in Small-Sample Statistics

A. R. Brazzale, A. C. Davison, N. Reid

In fields such as biology, sociology, and economics, researchers often find that the amount of available information is sufficiently small ...

A. W. van der Vaart

This book is an introduction to the field of asymptotic statistics. The treatment is mathematically rigorous but practical rather than ...

An Analysis for Statisticians and Interdisciplinary Researchers

Thomas Leonard, John S. J. Hsu

This book describes the Bayesian approach to statistics at a level suitable for final year undergraduate and Masters students. The ...

A. C. Davison, D. V. Hinkley

The recently-developed Bootstrap methods enable fairly sophisticated statistical calculations to be done by computer simulation. This frees the application of ...

An Example-based Approach

John Maindonald, John Braun

This book guides users through the practical and powerful tools that the R system provides. The emphasis is on hands-on ...

Thomas A. Severini

This detailed introduction to distribution theory is designed as a text for the probability portion of the first year statistical ...

G. A. Young, R. L. Smith

This engaging textbook introduces the key ideas behind drawing formal inferences from data. Aimed at advanced undergraduates and graduate students ...

A Guided Tour from Measure Theory to Random Processes, via Conditioning

L. Chaumont, M. Yor

Derived from extensive teaching experience in Paris, this book presents around 100 exercises in probability. In each case, the authors ...

J. R. Norris

Markov chains are central to the understanding of random processes. This textbook, aimed at advanced undergraduate or MSc students with ...

Gerda Claeskens, Nils Lid Hjort

Given a data set, you can fit thousands ofmodels, but how do you choose the best? With so many candidate ...

John F. Monahan

This book explains how computer software is designed to perform the tasks required for sophisticated statistical analysis. The first half ...

Rick Durrett

The notion of six degrees of separation, meaning that any two people can be connected by a short chain of ...

Ronald W. Butler

Modern statistical methods use sophisticated and complex models that can lead to intractable computations. Saddlepoint approximations can be the answer. ...

David Ruppert, M. P. Wand, R. J. Carroll

Science abounds with problems where the data are noisy and the answer is not a straight line. Semiparametric regression aims ...

J. K. Lindsey

Many observed phenomena are characterised by quantities that vary over time: stochastic processes are designed to study them. This book ...

A. C. Davison

An Introduction to the Analysis of Structured Data in Applications

Marlos A. G. Viana

Experimental data can often be indexed by certain symmetrically interesting structures or sets of labels, including the study of short ...

Donald B. Percival, Andrew T. Walden

This introduction to wavelet analysis and wavelet-based statistical analysis of time series focuses on practical discrete time techniques, with detailed ...

W. John Braun, Duncan J. Murdoch

The only introduction you'll need to start programming in R. Co-written by one of the R Core Development Team, and ...

Methods and Principles for Social Research

Stephen L. Morgan, Christopher Winship

The essential features of the counterfactual model of causality for observational data analysis are presented with examples from sociology, political ...

Andrew Gelman, Jennifer Hill

Data Analysis Using Regression and Multilevel/Hierarchical Models is a comprehensive manual for the applied researcher who wants to perform data ...

David Stirzaker

Now available in a fully revised and updated new edition, this well established textbook provides a straightforward introduction to the ...

An Introduction

D. J. Daley, J. Gani

This is a general introduction to the ideas and techniques required for the mathematical modelling of diseases. Several techniques for ...

A Guide for Social Scientists

Janet M. Box-Steffensmeier, Bradford S. Jones

Event History Modeling provides an accessible, up-to-date guide to event history analysis for researchers and advanced students in the social ...

Analysis and Applications in the Social Sciences

Edward W. Frees

This title focuses on models and data that arise from repeated observations of a cross-section of individuals, households or firms. ...

Donald B. Rubin

Matched sampling is often used to help assess the causal effect of some exposure or intervention, typically when randomized experiments ...

Joseph M. Hilbe

At last - a book devoted entirely to the negative binomial model and its many variations. Every model currently offered ...

Brian D. Ripley

Now in paperback: the most reliable account of the statistical framework for pattern recognition and machine learning. With unparalleled ...

William Playfair, Introduction by Howard Wainer, Ian Spence

A scientific revolution began at the end of the 18th century with the invention and popularization of the graphic display ...

Lawrence O'Gorman, Michael J. Sammon, Michael Seul

In classic ‘cookbook style’, this book offers guided access for practitioners and researchers to techniques for the digital manipulation and ...

D. R. Cox

Roger Koenker

Quantile regression is gradually emerging as a unified statistical methodology for estimating models of conditional quantile functions. This monograph is ...

A. Colin Cameron, Pravin K. Trivedi

Students in both the natural and social sciences often seek regression models to explain the frequency of events, such as ...

Non-Simple-Random Samples and Weighted Data

Sergey Dorofeev, Peter Grant

What they didn’t tell you in your stats lectures … Samples used in social and commercial surveys are usually less ...

A Philosophical Study of Early Ideas about Probability, Induction and Statistical Inference

Ian Hacking

Historical records show that there was no real concept of probability in Europe before the mid-seventeenth century, although the use ...

Chance Rules in Everyday Life

Henk Tijms

This fully revised second edition of Understanding Probability teaches the reader about probability in an informal way. Using examples from ...

Shirley Hodgson, William Foulkes, Charis Eng, Eamonn Maher

This is a comprehensive and up-to-date guide to the diagnosis, clinical features and management of inherited disorders conferring cancer susceptibility. ...

Edited by L. Pachter, B. Sturmfels

The quantitative analysis of biological sequence data is based on methods from statistics coupled with efficient algorithms from computer science. ...

A Practical Guide

Jos W. R. Twisk

In this book the most important techniques available for longitudinal data analysis are discussed. This discussion includes simple techniques such ...

Edited by Kim-Anh Do, Peter Müller, Marina Vannucci

The interdisciplinary nature of bioinformatics presents many challenges in integrating concepts, methods, software, and data. The Bayesian approach allows evidence ...

Probabilistic Models of Proteins and Nucleic Acids

Richard Durbin, Sean R. Eddy, Anders Krogh, Graeme Mitchison

The need to analyse the huge amount of raw data being produced by large-scale DNA sequencing projects has led to ...

Alan H. Fielding

Recent advances in experimental methods have resulted in the generation of enormous volumes of data across the life sciences. Hence ...

A Correlational Approach

Robert Rosenthal, Ralph L. Rosnow, Donald B. Rubin

Contrasts are statistical procedures for asking focused questions of data. Researchers, teachers of research methods and graduate students will be ...

Jin Xiong

Essential Bioinformatics provides a comprehensive and up-to-date introduction to bioinformatics for life scientists. The book covers all key topics in ...

An Introduction for Students and Health Professionals

Penny Webb, Chris Bain, Sandi Pirozzo

This is an accessible, easily readable, and thoroughly modern introduction to epidemiology for students of medicine and public health. It ...

John Ringo

Fundamental Genetics is a concise, non-traditional textbook that explains major topics of modern genetics in 42 mini-chapters. It is organized ...

Genetics in Modern Medicine

Edited by Alan Wright, Nicholas Hastie

The aim of this book is to present an up-to-date view of the role of genetics in modern medicine, reflecting ...

A Case Studies Approach

Nello Cristianini, Matthew W. Hahn

Are we related to Neanderthals? Where did SARS come from? Which part of our genome is evolving the fastest? How ...

A Guide for Clinicians and Medical Students

B. S. Everitt

From ‘Abcissa’ to ‘Zygosity determination’ - this accessible introduction to the terminology of medical statistics describes more than 1500 terms ...

William H. Majoros

This advanced text describes in detail the algorithms and models used to identify genes in genomic DNA sequences. Unlike existing ...

A Practical Guide for Clinicians

Mitchell H. Katz

This new edition has been fully revised to build on the enormous success of its popular predecessor. It now includes ...

Mark Borodovsky, Svetlana Ekisheva

Biological Sequence Analysis (BSA) by Durbin et al. has been widely adopted as a required text for bioinformatics courses at ...

A Practical Guide for Clinicians

Mitchell Katz

This book takes the reader through the entire research process: choosing a question, designing a study, collecting the data, using ...

Robert G. McKinnell, Ralph E. Parchment, Alan O. Perantoni, G. Barry Pierce, Ivan Damjanov

This book, designed to be used for an undergraduate course on cancer biology, is aimed at upper division undergraduates with ...

Breast Cancer and American Society

Robert A. Aronowitz

In the early nineteenth century in the United States, cancer in the breast was a rare disease. Now it seems ...

How to Choose and Construct Models for the Life Sciences

C. Patrick Doncaster, Andrew J. H. Davey

Analysis of variance (ANOVA) is a core technique for analysing data in the Life Sciences. Aimed at researchers of postgraduate ...

A User's Guide to Path Analysis, Structural Equations and Causal Inference

Bill Shipley

Written in a jargon-free, conversational style, this book explores the relationship between correlation and causation. It presents a series of ...

Gerry P. Quinn, Michael J. Keough

An essential textbook for any student or researcher in biology needing to design experiments, sample programs or analyse the resulting ...

Derek A. Roff

Modern computational tools, such as Maximum Likelihood, Monte Carlo and Bayesian methods, mean that data analysis no longer depends on ...

A Practical Guide for the Biological, Medical and Social Sciences

R. Barker Bausell, Yu-Fang Li

Power analysis is an essential tool for determining whether a statistically significant result can be expected in a scientific experiment ...

Robert Haining

This book describes methods available for the analysis of spatial data. These include data description, map interpolation, and exploratory and ...

Steve McKillup

Statistics Explained is a reader-friendly introduction to experimental design and statistics for undergraduate students in the life sciences, particularly those ...

Edited by Frederick Burkhardt

Charles Darwin’s voyage on the HMS Beagle is a gripping adventure story, and a turning point in the making of ...

Chance, Risk and Health

Stephen Senn

Stephen Senn explains here how statistics determines many decisions about medical care, from allocating resources for health, to determining which ...

Martin Gardner's First Book of Mathematical Puzzles and Games

Martin Gardner

Martin Gardner's Mathematical Diversions

Martin Gardner

Martin Gardner's New Mathematical Diversions

Martin Gardner

The Art of Scientific Computing

William H. Press, Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery

The third edition of Numerical Recipes has wider coverage than ever before, with two new chapters, and many other ...

The Art of Scientific Computing

William H. Press, Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery

The Numerical Recipes Third Edition Source Code CDROM contains the complete source code in C++ for Numerical Recipes Third Edition, ...

The Art of Scientific Computing

William H. Press, Saul A. Teukolsky, William T. Vetterling, Brian P. Flannery

For the latest methods in scientific computing, this book/CD-ROM gives you the complete Numerical Recipes Third Edition. Written in C++, ...