Biostatistics and Epidemiology

PUBLISHED


Viewing: 1 - 10 of 202
Published:
May 02, 2013
Author(s):
Sin-Ho Jung
In cancer research, a traditional phase II trial is designed as a single-arm trial that compares the experimental therapy to a historical control. This simple trial design has led to several adverse issues, including increased false positivity of phase II trial results and negative phase III trials 
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Published:
April 10, 2013
Author(s):
Arthur Li
To write an accomplished program in the DATA step of SAS®, programmers must understand programming logic and know how to implement and even create their own programming algorithm. Handbook of SAS® DATA Step Programming shows readers how best to manage and manipulate data by using the DATA step. 
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Published:
March 18, 2013
Author(s):
Andrew B. Lawson
Since the publication of the first edition, many new Bayesian tools and methods have been developed for space-time data analysis, the predictive modeling of health outcomes, and other spatial biostatistical areas. Exploring these new developments, Bayesian Disease Mapping: Hierarchical Modeling in 
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Published:
February 25, 2013
Author(s):
Yang Yang; Kenneth C. Land
Age-Period-Cohort Analysis: New Models, Methods, and Empirical Applications is based on a decade of the authors’ collaborative work in age-period-cohort (APC) analysis. Within a single, consistent HAPC-GLMM statistical modeling framework, the authors synthesize APC models and methods for three 
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$79.95
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Published:
January 16, 2013
Editor(s):
Alexander R. de Leon; Keumhee Carrière Chough
A comprehensive source on mixed data analysis, Analysis of Mixed Data: Methods & Applications summarizes the fundamental developments in the field. Case studies are used extensively throughout the book to illustrate interesting applications from economics, medicine and health, marketing, and 
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Published:
December 27, 2012
Editor(s):
Shein-Chung Chow
In recent years, there has been an explosive growth of biopharmaceutical and clinical research, including the development of new medicines for treating severe or life-threatening diseases. Biopharmaceutical statistics plays an extremely important role in ensuring not only the efficacy and safety of 
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Published:
December 10, 2012
Author(s):
James W. Hardin; Joseph M. Hilbe
Generalized Estimating Equations, Second Edition updates the best-selling previous edition, which has been the standard text on the subject since it was published a decade ago. Combining theory and application, the text provides readers with a comprehensive discussion of GEE and related models. 
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Published:
November 27, 2012
Author(s):
Werner Vach
While regression models have become standard tools in medical research, understanding how to properly apply the models and interpret the results is often challenging for beginners. Regression Models as a Tool in Medical Research presents the fundamental concepts and important aspects of regression 
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Published:
November 12, 2012
Author(s):
Gianluca Baio
Health economics is concerned with the study of the cost-effectiveness of health care interventions. This book provides an overview of Bayesian methods for the analysis of health economic data. After an introduction to the basic economic concepts and methods of evaluation, it presents Bayesian 
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Published:
October 18, 2012
Author(s):
Katsumi Kobayashi; K. Sadasivan Pillai
Statistics plays an important role in pharmacology and related subjects such as toxicology and drug discovery and development. Improper statistical tool selection for analyzing the data obtained from studies may result in wrongful interpretation of the performance or safety of drugs. This book 
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