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Doing Meta-Analysis with R: A Hands-On Guide, Harrer Mathias, Cuijpers Pim, Furukawa Toshi


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Цена: 83690.00T
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Автор: Harrer Mathias, Cuijpers Pim, Furukawa Toshi
Название:  Doing Meta-Analysis with R: A Hands-On Guide
ISBN: 9780367610074
Издательство: Taylor&Francis
Классификация:

ISBN-10: 0367610078
Обложка/Формат: Hardcover
Страницы: 474
Вес: 0.91 кг.
Дата издания: 13.09.2021
Язык: English
Иллюстрации: 4 tables, black and white; 76 line drawings, black and white; 76 illustrations, black and white
Размер: 23.39 x 15.60 x 2.69 cm
Читательская аудитория: Tertiary education (us: college)
Подзаголовок: A hands-on guide
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: This book serves as an accessible introduction into how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools.

Time Series Analysis

Автор: Hamilton, James
Название: Time Series Analysis
ISBN: 0691042896 ISBN-13(EAN): 9780691042893
Издательство: Wiley
Рейтинг:
Цена: 73920.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A graduate-level text which describes the recent dramatic changes that have taken place in the way that researchers analyze economic and financial time series. It explores such important innovations as vector regression, nonlinear time series models and the generalized methods of moments.

Statistical Analysis with Missing Data, Third Edit ion

Автор: Little
Название: Statistical Analysis with Missing Data, Third Edit ion
ISBN: 0470526793 ISBN-13(EAN): 9780470526798
Издательство: Wiley
Рейтинг:
Цена: 84430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Reflecting new application topics, Statistical Analysis with Missing Data offers a thoroughly up-to-date, reorganized survey of current methodology for handling missing data problems. The third edition reviews historical approaches to the subject and describe rigorous yet simple methods for multivariate analysis with missing values.

The Analysis of Biological Data

Автор: Michael C. Whitlock, Dolph Schluter
Название: The Analysis of Biological Data
ISBN: 1319325343 ISBN-13(EAN): 9781319325343
Издательство: Macmillan Learning
Рейтинг:
Цена: 92390.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.

Handbook Of Meta-Analysis

Автор: Christopher H Schmid
Название: Handbook Of Meta-Analysis
ISBN: 1498703984 ISBN-13(EAN): 9781498703987
Издательство: Taylor&Francis
Рейтинг:
Цена: 163330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the years as the need for a robust evidence base has become clear in many scientific areas like medicine and health, social sciences, education, psychology, ecology and economics.

Applied Meta-Analysis with R and Stata

Автор: Ding-Geng (Din) Chen, Karl E. Peace
Название: Applied Meta-Analysis with R and Stata
ISBN: 0367183838 ISBN-13(EAN): 9780367183837
Издательство: Taylor&Francis
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Цена: 132710.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In biostatistical research and courses, practitioners and students often lack a thorough understanding of how to apply statistical methods to synthesize biomedical and clinical trial data. Filling this knowledge gap, this book shows how to implement statistical meta-analysis methods to real data using R and Stata.

Doing Bayesian Data Analysis,

Автор: John Kruschke
Название: Doing Bayesian Data Analysis,
ISBN: 0124058884 ISBN-13(EAN): 9780124058880
Издательство: Elsevier Science
Рейтинг:
Цена: 79710.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan, Second Edition provides an accessible approach for conducting Bayesian data analysis, as material is explained clearly with concrete examples. Included are step-by-step instructions on how to carry out Bayesian data analyses in the popular and free software R and WinBugs, as well as new programs in JAGS and Stan. The new programs are designed to be much easier to use than the scripts in the first edition. In particular, there are now compact high-level scripts that make it easy to run the programs on your own data sets.

The book is divided into three parts and begins with the basics: models, probability, Bayes' rule, and the R programming language. The discussion then moves to the fundamentals applied to inferring a binomial probability, before concluding with chapters on the generalized linear model. Topics include metric-predicted variable on one or two groups; metric-predicted variable with one metric predictor; metric-predicted variable with multiple metric predictors; metric-predicted variable with one nominal predictor; and metric-predicted variable with multiple nominal predictors. The exercises found in the text have explicit purposes and guidelines for accomplishment.

This book is intended for first-year graduate students or advanced undergraduates in statistics, data analysis, psychology, cognitive science, social sciences, clinical sciences, and consumer sciences in business.

  • Accessible, including the basics of essential concepts of probability and random sampling
  • Examples with R programming language and JAGS software
  • Comprehensive coverage of all scenarios addressed by non-Bayesian textbooks: t-tests, analysis of variance (ANOVA) and comparisons in ANOVA, multiple regression, and chi-square (contingency table analysis)
  • Coverage of experiment planning
  • R and JAGS computer programming code on website
  • Exercises have explicit purposes and guidelines for accomplishment
  • Provides step-by-step instructions on how to conduct Bayesian data analyses in the popular and free software R and WinBugs

Hands-On SAS For Data Analysis

Автор: Gulati Harish
Название: Hands-On SAS For Data Analysis
ISBN: 178883982X ISBN-13(EAN): 9781788839822
Издательство: Неизвестно
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Цена: 67430.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: SAS is one of the leading enterprise tools in the world today when it comes to data management and analysis. It allows for faster, easier processing of data and empowers you to get valuable business insights for effective decision-making. This book will serve as a comprehensive guide you can refer to while preparing for your SAS certification exam.

Meta analysis

Автор: Kulinskaya, E Morgenthaler, Stephan Staudte, Rober
Название: Meta analysis
ISBN: 0470028645 ISBN-13(EAN): 9780470028643
Издательство: Wiley
Рейтинг:
Цена: 67530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Meta Analysis: A Guide to Calibrating and Combining Statistical Evidence acts as a source of basic methods for scientists wanting to combine evidence from different experiments. The authors aim to promote a deeper understanding of the notion of statistical evidence. The book is comprised of two parts - The Handbook, and The Theory.

Introduction to Probability, Second Edition

Автор: Joseph K. Blitzstein, Jessica Hwang
Название: Introduction to Probability, Second Edition
ISBN: 1138369918 ISBN-13(EAN): 9781138369917
Издательство: Taylor&Francis
Рейтинг:
Цена: 74510.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Assumes one-semester of calculus. "Stories" make distributions (Normal, Binomial, Poisson that are widely-used in statistics) easier to remember, understand. Many books write down formulas without explaining clearly why these particular distributions are important or how they are all connected.

Bayesian Data Analysis, Third Edition

Автор: Gelman
Название: Bayesian Data Analysis, Third Edition
ISBN: 1439840954 ISBN-13(EAN): 9781439840955
Издательство: Taylor&Francis
Рейтинг:
Цена: 73920.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Winner of the 2016 De Groot Prize from the International Society for Bayesian Analysis Now in its third edition, this classic book is widely considered the leading text on Bayesian methods, lauded for its accessible, practical approach to analyzing data and solving research problems. Bayesian Data Analysis, Third Edition continues to take an applied approach to analysis using up-to-date Bayesian methods. The authors—all leaders in the statistics community—introduce basic concepts from a data-analytic perspective before presenting advanced methods. Throughout the text, numerous worked examples drawn from real applications and research emphasize the use of Bayesian inference in practice. New to the Third Edition Four new chapters on nonparametric modeling Coverage of weakly informative priors and boundary-avoiding priors Updated discussion of cross-validation and predictive information criteria Improved convergence monitoring and effective sample size calculations for iterative simulation Presentations of Hamiltonian Monte Carlo, variational Bayes, and expectation propagation New and revised software code The book can be used in three different ways. For undergraduate students, it introduces Bayesian inference starting from first principles. For graduate students, the text presents effective current approaches to Bayesian modeling and computation in statistics and related fields. For researchers, it provides an assortment of Bayesian methods in applied statistics. Additional materials, including data sets used in the examples, solutions to selected exercises, and software instructions, are available on the book’s web page.

Doing Better Statistics in Human-Computer Interaction

Автор: Cairns Paul
Название: Doing Better Statistics in Human-Computer Interaction
ISBN: 110871059X ISBN-13(EAN): 9781108710596
Издательство: Cambridge Academ
Рейтинг:
Цена: 33790.00 T
Наличие на складе: Невозможна поставка.
Описание: Written for human-computer interaction (HCI) researchers - whether undergraduates, professors, or UX professionals who need to analyse quantitative data - this book helps to improve readers` knowledge of the modern best practice in statistics and their understanding of how to do statistical analysis on their own data.

Doing Better Statistics in Human-Computer Interaction

Автор: Cairns Paul
Название: Doing Better Statistics in Human-Computer Interaction
ISBN: 110848252X ISBN-13(EAN): 9781108482523
Издательство: Cambridge Academ
Рейтинг:
Цена: 102430.00 T
Наличие на складе: Невозможна поставка.
Описание: Written for human-computer interaction (HCI) researchers - whether undergraduates, professors, or UX professionals who need to analyse quantitative data - this book helps to improve readers` knowledge of the modern best practice in statistics and their understanding of how to do statistical analysis on their own data.


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