statistics_books

Knowledge Discovery and Data Mining: Challenges and Realities (Hardcover)

2007-07-03T14:05:52+02:00

Knowledge Discovery and Data Mining: Challenges and Realities (Hardcover)
by Xingquan Zhu

Product Description
Knowledge discovery and data mining (KDD) is dedicated to exploring meaningful information from a large volume of data. Knowledge Discovery and Data Mining: Challenges and Realities is the most comprehensive reference publication for researchers and real-world data mining practitioners to advance knowledge discovery from low-quality data. This Premier Reference Source presents in-depth experiences and methodologies, providing theoretical and empirical guidance to users who have suffered from underlying, low-quality data. International experts in the field of data mining have contributed all-inclusive chapters focusing on interdisciplinary collaborations among data quality, data processing, data mining, data privacy, and data sharing.

Sample Size Calculations in Clinical Research, Second Edition (Chapman & Hall/Crc Biostatistics Series) (Hardcover)

2007-07-03T14:04:17+02:00

Sample Size Calculations in Clinical Research, Second Edition (Chapman & Hall/Crc Biostatistics Series) (Hardcover)
by Shein-Chung Chow

Book Description

This book explains how the formulas and procedures for sample size calculations can be used in a variety of clinical research and development stages. It presents real-world examples from several therapeutic areas to illustrate clinical and statistical concepts, interpretations, and interactions. The book also explores emerging topics in pharmaceutical research and development, including QT/QTc studies with time-dependent replicates and the use of propensity score analysis in nonrandomized or observational studies. This edition now provides sample size calculations for three major areas of clinical research: dose response studies, microarray studies, and Bayesian approaches.

Topics in Biostatistics (Methods in Molecular Biology) (Hardcover)

2007-07-03T14:02:44+02:00

Topics in Biostatistics (Methods in Molecular Biology) (Hardcover)
by Walter T. Ambrosius

Book Description

Basic Biostatistics presents a multidisciplinary survey of biostatics methods, each illustrated with hands-on examples. Methods range from the elementary, including descriptive statistics, study design, statistical interference, categorical variables, evaluation of diagnostic tests, comparison of means, linear regression, and logistic regression. These introductory methods create a portfolio of biostatistical techniques for both novice and expert researchers. More complicated statistical methods are introduced as well, including those requiring either collaboration with a biostatistician or the use of a statistical package. Specific topics of interest include microarray analysis, missing data techniques, power and sample size, statistical methods in genetics. Expert advice is given on when to seek statistical help, and how to conduct a meeting with the statistical collaborator or consultant. Basic Biostatistics is an essential resource for researchers at every level of their career.

Elementary Bayesian Biostatistics (Statistics: a Series of Textbooks and Monographs) (Hardcover)

2007-07-03T14:01:09+02:00

Elementary Bayesian Biostatistics (Statistics: a Series of Textbooks and Monographs) (Hardcover)
by Lemuel A. Moye (Author)

Book Description

With numerous exercises and a CD-ROM of data sets and computing code, this lucid introduction explores Bayesian principles and illustrates their application to healthcare research. It reviews the interesting and controversial history of the Bayesian concept and enables a balanced comparison of Bayesian tools with standard frequentist approaches. The book also discusses several important implementations of Bayesian procedures in clinical research, including sample size computations, adaptive randomization, and monitoring procedures. In addition, it shows how to evaluate a healthcare research scenario to determine whether a frequentist or Bayesian approach is most appropriate.

Pharmaceutical Statistics Using SAS: A Practical Guide (SAS Press) (Paperback)

2007-07-03T13:58:37+02:00

Pharmaceutical Statistics Using SAS: A Practical Guide (SAS Press) (Paperback)
by Alex Dmitrienko

"This book is an ideal overview of some of the many important issues arising in the pharmaceutical industry, and can be read as such. Students anticipating a career in pharmaceutical statistics will benefit particularly: these are topics that form the backbone of statistics in the industry but that are not generally taught as part of an M.S. or Ph.D. program. Implementation using SAS is admirably detailed, but even non-users of SAS will find the book useful." --Raymond J. Carroll, Distinguished Professor of Statistics, Nutrition and Toxicology, Texas A&M University

Statistics Using SAS Enterprise Guide (Paperback)

2007-07-03T13:56:48+02:00

Statistics Using SAS Enterprise Guide (Paperback)
by James Davis (Author)

Review
Statistics using SAS(R) Enterprise Guide(R) offers multiple opportunities. It is most suitable for a beginner wishing to learn both SAS Enterprise Guide and statistics. Alternatively, for someone with knowledge of SAS Enterprise Guide or statistics, it will offer a chance to become proficient in both. --Karol Katz, M.S, Programmer Analyst, Yale University School of Medicine

Variations on Split Plot and Split Block Experiment Designs (Wiley Series in Probability and Statistics) (Hardcover)

2007-07-03T13:55:11+02:00

Variations on Split Plot and Split Block Experiment Designs (Wiley Series in Probability and Statistics) (Hardcover)
by Walter T. Federer

Book Description
A complete and up-to-date discussion of optimal split plot and split block designs

Variations on Split Plot and Split Block Experiment Designs provides a comprehensive treatment of the design and analysis of two types of trials that are extremely popular in practice and play an integral part in the screening of applied experimental designs—split plot and split block experiments. Illustrated with numerous examples, this book presents a theoretical background and provides two and three error terms, a thorough review of the recent work in the area of split plot and split blocked experiments, and a number of significant results.