Meta-analysis, Khan, Shahjahan

Автор: Hamilton, James
Название: Time Series Analysis
ISBN: 0691042896 ISBN-13(EAN): 9780691042893
Издательство: Wiley
Рейтинг:
Цена: 11088.00 р.
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.

Автор: Schwarzer, Guido Carpenter, James R. Rucker, Gerta
Название: Meta-analysis with r
ISBN: 3319214152 ISBN-13(EAN): 9783319214153
Издательство: Springer
Рейтинг:
Цена: 7685.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. multivariate meta-analysis, network meta-analysis;

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
Рейтинг:
Цена: 19906.00 р.
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.

Автор: Michael C. Whitlock, Dolph Schluter
Название: The Analysis of Biological Data
ISBN: 1319325343 ISBN-13(EAN): 9781319325343
Издательство: Macmillan Learning
Рейтинг:
Цена: 13858.00 р.
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.

Автор: Harrer Mathias, Cuijpers Pim, Furukawa Toshi
Название: Doing Meta-Analysis with R: A Hands-On Guide
ISBN: 0367610078 ISBN-13(EAN): 9780367610074
Издательство: Taylor&Francis
Рейтинг:
Цена: 12554.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

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.

Автор: David Makowski; Fran?ois Piraux; Fran?ois Brun
Название: From Experimental Network to Meta-analysis
ISBN: 9402416951 ISBN-13(EAN): 9789402416954
Издательство: Springer
Рейтинг:
Цена: 18167.00 р.
Наличие на складе: Поставка под заказ.

Описание: This book has been designed as a methodological guide and shows the interests and limitations of different statistical methods to analyze data from experimental networks and to perform meta-analyses. It is intended for engineers, students and researchers involved in data analysis in agronomy and environmental science.

Автор: Joseph K. Blitzstein, Jessica Hwang
Название: Introduction to Probability, Second Edition
ISBN: 1138369918 ISBN-13(EAN): 9781138369917
Издательство: Taylor&Francis
Рейтинг:
Цена: 11176.00 р.
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.

Автор: Gelman
Название: Bayesian Data Analysis, Third Edition
ISBN: 1439840954 ISBN-13(EAN): 9781439840955
Издательство: Taylor&Francis
Рейтинг:
Цена: 11088.00 р.
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.

Автор: Little
Название: Statistical Analysis with Missing Data, Third Edit ion
ISBN: 0470526793 ISBN-13(EAN): 9780470526798
Издательство: Wiley
Рейтинг:
Цена: 12664.00 р.
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.

Автор: Christopher H Schmid
Название: Handbook Of Meta-Analysis
ISBN: 1498703984 ISBN-13(EAN): 9781498703987
Издательство: Taylor&Francis
Рейтинг:
Цена: 24499.00 р.
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.

Автор: Kristi Jackson, Patricia Bazeley
Название: Qualitative Data Analysis with NVivo
ISBN: 1526449935 ISBN-13(EAN): 9781526449931
Издательство: Sage Publications
Рейтинг:
Цена: 17424.00 р.
Наличие на складе: Поставка под заказ.

Описание: Practical, focused and jargon-free this book shows you the power and potential of NVivo software across a wide range of research questions, data types, perspectives and methodologies.

Автор: David Williams
Название: Weighing the odds
ISBN: 052100618X ISBN-13(EAN): 9780521006187
Издательство: Cambridge Academ
Рейтинг:
Цена: 11880.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: A lively book enriched with examples drawn from all manner of applications. Statistics chapters present both the Frequentist and Bayesian approaches, emphasising Confidence Intervals rather than Hypothesis Tests. C or WinBUGS code is provided for computational examples and simulations. Many exercises are included; hints or solutions are often provided.