Multiple Comparisons - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multiple Comparisons write by Jason Hsu. This book was released on 1996-02-01. Multiple Comparisons available in PDF, EPUB and Kindle. Multiple Comparisons introduces simultaneous statistical inference and covers the theory and techniques for all-pairwise comparisons, multiple comparisons with the best, and multiple comparisons with a control. The author describes confidence intervals methods and stepwise exposes abuses and misconceptions, and guides readers to the correct method for each problem. Discussions also include the connections with bioequivalence, drug stability, and toxicity studies Real data sets analyzed by computer software packages illustrate the applications presented.
Multiple Comparisons Using R
Multiple Comparisons Using R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multiple Comparisons Using R write by Frank Bretz. This book was released on 2016-04-19. Multiple Comparisons Using R available in PDF, EPUB and Kindle. Adopting a unifying theme based on maximum statistics, Multiple Comparisons Using R describes the common underlying theory of multiple comparison procedures through numerous examples. It also presents a detailed description of available software implementations in R. The R packages and source code for the analyses are available at http://CRAN.R-project.org After giving examples of multiplicity problems, the book covers general concepts and basic multiple comparisons procedures, including the Bonferroni method and Simes’ test. It then shows how to perform parametric multiple comparisons in standard linear models and general parametric models. It also introduces the multcomp package in R, which offers a convenient interface to perform multiple comparisons in a general context. Following this theoretical framework, the book explores applications involving the Dunnett test, Tukey’s all pairwise comparisons, and general multiple contrast tests for standard regression models, mixed-effects models, and parametric survival models. The last chapter reviews other multiple comparison procedures, such as resampling-based procedures, methods for group sequential or adaptive designs, and the combination of multiple comparison procedures with modeling techniques. Controlling multiplicity in experiments ensures better decision making and safeguards against false claims. A self-contained introduction to multiple comparison procedures, this book offers strategies for constructing the procedures and illustrates the framework for multiple hypotheses testing in general parametric models. It is suitable for readers with R experience but limited knowledge of multiple comparison procedures and vice versa. See Dr. Bretz discuss the book.
Multiple Comparison Procedures
Multiple Comparison Procedures - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multiple Comparison Procedures write by Yosef Hochberg. This book was released on 1987-10-05. Multiple Comparison Procedures available in PDF, EPUB and Kindle. Offering a balanced, up-to-date view of multiple comparison procedures, this book refutes the belief held by some statisticians that such procedures have no place in data analysis. With equal emphasis on theory and applications, it establishes the advantages of multiple comparison techniques in reducing error rates and in ensuring the validity of statistical inferences. Provides detailed descriptions of the derivation and implementation of a variety of procedures, paying particular attention to classical approaches and confidence estimation procedures. Also discusses the benefits and drawbacks of other methods. Numerous examples and tables for implementing procedures are included, making this work both practical and informative.
Multiple Comparison Procedures
Multiple Comparison Procedures - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Multiple Comparison Procedures write by Larry E. Toothaker. This book was released on 1993. Multiple Comparison Procedures available in PDF, EPUB and Kindle. If you conduct research with more than two groups and want to find out if they are significantly different when compared two at a time, then you need Multiple Comparison Procedures. Using examples to illustrate major concepts, this concise volume is your guide to multiple comparisons. Toothaker thoroughly explains such essential issues as planned vs. post-hoc comparisons, stepwise vs. simultaneous test procedures, types of error rate, unequal sample sizes and variances, and interaction tests vs. cell mean tests.
Understanding Statistics and Experimental Design
Understanding Statistics and Experimental Design - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Understanding Statistics and Experimental Design write by Michael H. Herzog. This book was released on 2019-08-13. Understanding Statistics and Experimental Design available in PDF, EPUB and Kindle. This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets.
