Clinical Trials in Oncology, Second Edition (Chapman & Hall/CRC Interdisciplinary Statistics)

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Clinical Trials in Oncology, Third Edition

The third edition of the bestselling Clinical Trials in Oncology provides a concise, nontechnical, and thoroughly up-to-date review of methods and issues related to cancer clinical trials. The authors emphasize the importance of proper study design, analysis, and data management and identify the…. Modern Statistical Methodology and Software for Analyzing Spatial Point Patterns Spatial Point Patterns: Methodology and Applications with R shows scientific researchers and applied statisticians from a wide range of fields how to analyze their spatial point pattern data.

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Chapman & Hall/CRC Interdisciplinary Statistics

Missing Data Analysis in Practice provides practical methods for analyzing missing data along with the heuristic reasoning for understanding the theoretical underpinnings. Drawing on his 25 years of experience researching, teaching, and consulting in quantitative areas, the author presents both…. Statistical Analysis of Questionnaires: A Unified Approach Based on R and Stata presents special statistical methods for analyzing data collected by questionnaires.


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The book takes an applied approach to testing and measurement tasks, mirroring the growing use of statistical methods and software in…. By Mirjam Moerbeek , Steven Teerenstra. Power Analysis of Trials with Multilevel Data covers using power and sample size calculations to design trials that involve nested data structures. The book gives a thorough overview of power analysis that details terminology and notation, outlines key concepts of statistical power and power….

By Stephen Burgess , Simon G. Presents the Terminology and Methods of Mendelian Randomization for Epidemiological Studies Mendelian randomization uses genetic instrumental variables to make inferences about causal effects based on observational data. It, therefore, can be a reliable way of assessing the causal nature of risk…. By Rachel S. McCrea , Byron J. An important first step in studying the demography of wild animals is to identify the animals uniquely through applying markings, such as rings, tags, and bands.

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Bringing together the research of two leaders in this field, Visualizing Data…. By John P. Over the last 20 years, comprehensive strategies for treating measurement error in complex models and accounting for the use of extra data to estimate measurement error parameters have emerged. Focusing on both established and novel approaches, Measurement Error: Models, Methods, and Applications….

Clinical Trials in Oncology, Third Edition (Chapman & Hall/CRC Interdisciplinary Statistics)

By Diane L. Novel Statistical Tools for Conserving and Managing Populations By gathering information on key demographic parameters, scientists can often predict how populations will develop in the future and relate these parameters to external influences, such as global warming. Because of their ability to…. By Peter Rogerson , Ikuho Yamada. The widespread popularity of geographic information systems GIS has led to new insights in countless areas of application.

It has facilitated not only the collection and storage of geographic data, but also the display of such data. Building on this progress by using an integrated approach,…. By Philip J. Statistical and Probabilistic Methods in Actuarial Science covers many of the diverse methods in applied probability and statistics for students aspiring to careers in insurance, actuarial science, and finance. This book unifies and extends latent variable models, including multilevel or generalized linear mixed models, longitudinal or panel models, item response or factor models, latent class or finite mixture models, and structural equation models.

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Biologists, geneticists, and computer scientists as well as statisticians all need an accessible, systematic treatment of the techniques used for analyzing the vast amounts of…. Trivellore Raghunathan.

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Clinical Trials in Oncology, Third Edition. Free delivery worldwide. Description The third edition of the bestselling Clinical Trials in Oncology provides a concise, nontechnical, and thoroughly up-to-date review of methods and issues related to cancer clinical trials. The authors emphasize the importance of proper study design, analysis, and data management and identify the pitfalls inherent in these processes. In addition, the book has been restructured to have separate chapters and expanded discussions on general clinical trials issues, and issues specific to Phases I, II, and III.

Clinical interpretation and validity of clinical trials: When do they become practice changing?

New sections cover innovations in Phase I designs, randomized Phase II designs, and overcoming the challenges of array data. Although this book focuses on cancer trials, the same issues and concepts are important in any clinical setting. As always, the authors use clear, lucid prose and a multitude of real-world examples to convey the principles of successful trials without the need for a strong statistics or mathematics background.

Armed with Clinical Trials in Oncology, Third Edition, clinicians and statisticians can avoid the many hazards that can jeopardize the success of a trial. Product details Format Hardback pages Dimensions x x People who bought this also bought. Add to basket. Oncology Clinical Trials Richard L. Clinical Trials Tom Brody. Regression Modeling Strategies Frank E. Cancer Clinical Trials Stephen L.

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