Biomedical Science

Biostatistics

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Survival Analysis Using S: Analysis of Time-to-Event Data

Mara Tableman, Jong Sung Kim
July 28, 2003

Survival Analysis Using S: Analysis of Time-to-Event Data is designed as a text for a one-semester or one-quarter course in survival analysis for upper-level or graduate students in statistics, biostatistics, and epidemiology. Prerequisites are a standard pre-calculus first course in probability...

Foundations of Evidence-Based Medicine

Milos Jenicek
March 26, 2003

Presenting a cornucopia of topics seldom seen in a single resource, Foundations of Evidence-Based Medicine explores the principles of formal logic as applied to clinical problems and the uses of evidence in logical reasoning. Filled with definitions, formulae, outlines, flow charts, and checklists,...

Concise Handbook of Experimental Methods for the Behavioral and Biological Sciences

Jay E. Gould
December 20, 2001

Although there are many books written on the principles and methods of experimentation, few are written in a succinct, comprehensive outline format. The Concise Handbook of Experimental Methods for the Behavioral and Biological Sciences is based on a popular course taught by the author for more...

Causal Analysis in Biomedicine and Epidemiology: Based on Minimal Sufficient Causation

Mikel Aickin
November 09, 2001

"Provides current models, tools, and examples for the formulation and evaluation of scientific hypotheses in causal terms. Introduces a new method of model parametritization. Illustrates structural equations and graphical elements for complex causal systems."...

Analysis of Messy Data, Volume III: Analysis of Covariance

George A. Milliken, Dallas E. Johnson
August 29, 2001

Analysis of covariance is a very useful but often misunderstood methodology for analyzing data where important characteristics of the experimental units are measured but not included as factors in the design. Analysis of Messy Data, Volume 3: Analysis of Covariance takes the unique approach of...

Group Sequential Methods with Applications to Clinical Trials

Christopher Jennison, Bruce W. Turnbull
September 15, 1999

Group sequential methods answer the needs of clinical trial monitoring committees who must assess the data available at an interim analysis. These interim results may provide grounds for terminating the study-effectively reducing costs-or may benefit the general patient population by allowing early...

Comparative Qsar

James Devillers
March 03, 1998

As the 21st century approaches, there is little doubt that the tools and resources are available to unlock all the secrets of Quantitative Structure-Activity Relationships (QSAR) in order to design more efficient drugs and safer chemicals. The comparison QSAR models provide are a key to reach a...

Tables for the Use of Range and Studentized Range in Tests of Hypotheses

H. Leon Harter, N. Balakrishnan
October 27, 1997

A companion volume to the authors' previous well-received work, the CRC Handbook of Tables for the Use of Order Statistics in Estimation, this handbook discusses testing whether a hypothesis is true or false. Together, these volumes are your complete reference to theory and important tables...

Analysis of Incomplete Multivariate Data

J.L. Schafer
August 01, 1997

The last two decades have seen enormous developments in statistical methods for incomplete data. The EM algorithm and its extensions, multiple imputation, and Markov Chain Monte Carlo provide a set of flexible and reliable tools from inference in large classes of missing-data problems. Yet, in...

Bayesian Methods for Finite Population Sampling

Malay Ghosh, Glen Meeden
June 01, 1997

Assuming a basic knowledge of the frequentist approach to finite population sampling, Bayesian Methods for Finite Population Sampling describes Bayesian and predictive approaches to inferential problems with an emphasis on the likelihood principle. The authors demonstrate that a variety of levels...

A Course in Large Sample Theory

Thomas S. Ferguson
July 01, 1996

A Course in Large Sample Theory is presented in four parts. The first treats basic probabilistic notions, the second features the basic statistical tools for expanding the theory, the third contains special topics as applications of the general theory, and the fourth covers more standard...

Clinical Trials: An Introduction

Ann Raven, Frank Wells
October 01, 1993

This volume provides an introduction to the process of clinical drug development. It demystifies the way new medicines are discovered, tested and regulated. This book is intended for those who wich to understand the background of clinical trials from a pharmaceutical company perspective, and is...

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