Каталог
Меню
Войти
0Сравнение
0Избранное
Каталог
Войти
0Сравнить
0Избранное

Introduction to Meta-Analysis

...
  Сравнить
  В избранное
9 003 ₽Скидка: 21%

7 083 ₽

Товар в наличии
Ещё от "ЛитРес":
  Доставка в г. от 2 дней
  Оплата заказа
  Похожие товары
  Видео обзоры
  Как заказать "Introduction to Meta-Analysis"?
  Нашли дешевле? Снизим цену!
  Узнать о снижении стоимости
Отправим письмо при снижении стоимости.

Рекомендательный сервис

  • Общий рейтинг 4.00
  • Рейтинг покупателей 4.06
  • Рейтинг экспертов 4.30
  • Качество материалов 4.04
  • Надежность 4.00
  • Простота в использовании 4.43
  • Ремонтопригодность 4.13
  • Эффективность выполнения своих функций 4.10
  • Коэффициент удивления "Вау!" 4.00
  • Безопасность для пользователя4.60
  • Внешний вид 4.33
  • Удобство в уходе и чистке 4.41
  • Экологическая безопасность 4.30
  • Гарантия на товар 4.44
  • Соответствие стандартам качества 4.03
  • Инновационные технологии 4.40
  • Хит продаж 4.00
  • Скорость морального устаревания 4.01
  • Энергоэффективность 4.13
  • Универсальность использования 4.09
  • Наличие дополнительных функций 4.40
  • Соотношение цена-качество 4.34
  • Практичность и удобство хранения 4.00
  • Стабильность работы в различных условиях 4.06
  • Возможность персонализации 4.09
  • Ликвидность 4.10
  • Индекс рекомендаций 4.44
2179 покупателей и эксперты портала 1ya.ru рекомендуют к покупке товар «Introduction to Meta-Analysis» или его аналог из списка ниже.
This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis: Outlines the role of meta-analysis in the research process Shows how to compute effects sizes and treatment effects Explains the fixed-effect and random-effects models for synthesizing data Demonstrates how to assess and interpret variation in effect size across studies Clarifies concepts using text and figures, followed by formulas and examples Explains how to avoid common mistakes in meta-analysis Discusses controversies in meta-analysis Features a web site with additional material and exercises A superb combination of lucid prose and informative graphics, written by four of the world’s leading experts on all aspects of meta-analysis. Borenstein, Hedges, Higgins, and Rothstein provide a refreshing departure from cookbook approaches with their clear explanations of the what and why of meta-analysis. The book is ideal as a course textbook or for self-study. My students, who used pre-publication versions of some of the chapters, raved about the clarity of the explanations and examples. David Rindskopf, Distinguished Professor of Educational Psychology, City University of New York, Graduate School and University Center, & Editor of the Journal of Educational and Behavioral Statistics. The approach taken by Introduction to Meta-analysis is intended to be primarily conceptual, and it is amazingly successful at achieving that goal. The reader can comfortably skip the formulas and still understand their application and underlying motivation. For the more statistically sophisticated reader, the relevant formulas and worked examples provide a superb practical guide to performing a meta-analysis. The book provides an eclectic mix of examples from education, social science, biomedical studies, and even ecology. For anyone considering leading a course in meta-analysis, or pursuing self-directed study, Introduction to Meta-analysis would be a clear first choice. Jesse A. Berlin, ScD Introduction to Meta-Analysis is an excellent resource for novices and experts alike. The book provides a clear and comprehensive presentation of all basic and most advanced approaches to meta-analysis. This book will be referenced for decades. Michael A. McDaniel, Professor of Human Resources and Organizational Behavior, Virginia Commonwealth University
Информация о характеристиках, комплекте поставки, стране изготовления, внешнем виде и цвете товара носит справочный характер и взятая из открытых источников или размещена продавцом. Цена указана на дату: 09.05.2025 г. На текущий момент стоимость может отличаться. Предложение не является публичной офертой.
Эксперт: Юрий Л., специалист по онлайн-шопингу
Дата рецензии: 18 июня 2025 г.
Рекомендация к покупке положительная

Отзывы о товаре

Спасибо Ваш отзыв будет опубликован после проверки модераторами.
Добавить отзыв

Доставка покупки

    • В электронном виде;
    • Читать онлайн;
    • Скачать на компьютер или мобильные устройства.

Оплата заказа

    • Банковской картой;
    • электронными деньгами Яндекс-Деньги; WebMoney, Qiwi Кошелек, PayPal;
    • Наличными через терминалы;
    • Банковским переводом.
  • Наименование: ООО «ЛитРес»
  • ИНН: 7719571260

Рекомендуем аналогичные товары

...
An Introduction to Correspondence Analysis
Master the fundamentals of correspondence analysis with this illuminating resource An Introduction to Correspondence Analysis assists researchers in improving their familiarity with the concepts, terminology, and application of several variants of correspondence analysis. The accomplished academics and authors deliver a comprehensive and insightful treatment of the fundamentals of correspondence analysis, including the statistical and visual aspects of the subject. Written in three parts, the book begins by offering readers a description of two variants of correspondence analysis that can be applied to two-way contingency tables for nominal categories of variables. Part Two shifts the discussion to categories of ordinal variables and demonstrates how the ordered structure of these variables can be incorporated into a correspondence analysis. Part Three describes the analysis of multiple nominal categorical variables, including both multiple correspondence analysis and multi-way correspondence analysis. Readers will benefit from explanations of a wide variety of specific topics, for example: Simple correspondence analysis, including how to reduce multidimensional space, measuring symmetric associations with the Pearson Ratio, constructing low-dimensional displays, and detecting statistically significant points Non-symmetrical correspondence analysis, including quantifying asymmetric associations Simple ordinal correspondence analysis, including how to decompose the Pearson Residual for ordinal variables Multiple correspondence analysis, including crisp coding and the indicator matrix, the Burt Matrix, and stacking Multi-way correspondence analysis, including symmetric multi-way analysis Perfect for researchers who seek to improve their understanding of key concepts in the graphical analysis of categorical data, An Introduction to Correspondence Analysis will also assist readers already familiar with correspondence analysis who wish to review the theoretical and foundational underpinnings of crucial concepts.
Цена 6960 руб.
СравнитьКупить
6 960 ₽
- 21%
...
Meta Analysis
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. The Handbook is a guide for combining and interpreting experimental evidence to solve standard statistical problems. This section allows someone with a rudimentary knowledge in general statistics to apply the methods. The Theory provides the motivation, theory and results of simulation experiments to justify the methodology. This is a coherent introduction to the statistical concepts required to understand the authors’ thesis that evidence in a test statistic can often be calibrated when transformed to the right scale.
Цена 8538 руб.
СравнитьКупить
  • Форматы
    PDF
8 538 ₽
...
An Introduction to Correspondence Analysis
  • Форматы
    PDF
6 960 ₽
...
An Introduction to Behavior Analysis
  • Форматы
    PDF
9 376 ₽
- 13%
...
An Introduction to Proof through Real Analysis
An engaging and accessible introduction to mathematical proof incorporating ideas from real analysis A mathematical proof is an inferential argument for a mathematical statement. Since the time of the ancient Greek mathematicians, the proof has been a cornerstone of the science of mathematics. The goal of this book is to help students learn to follow and understand the function and structure of mathematical proof and to produce proofs of their own. An Introduction to Proof through Real Analysis is based on course material developed and refined over thirty years by Professor Daniel J. Madden and was designed to function as a complete text for both first proofs and first analysis courses. Written in an engaging and accessible narrative style, this book systematically covers the basic techniques of proof writing, beginning with real numbers and progressing to logic, set theory, topology, and continuity. The book proceeds from natural numbers to rational numbers in a familiar way, and justifies the need for a rigorous definition of real numbers. The mathematical climax of the story it tells is the Intermediate Value Theorem, which justifies the notion that the real numbers are sufficient for solving all geometric problems. • Concentrates solely on designing proofs by placing instruction on proof writing on top of discussions of specific mathematical subjects • Departs from traditional guides to proofs by incorporating elements of both real analysis and algebraic representation • Written in an engaging narrative style to tell the story of proof and its meaning, function, and construction • Uses a particular mathematical idea as the focus of each type of proof presented • Developed from material that has been class-tested and fine-tuned over thirty years in university introductory courses An Introduction to Proof through Real Analysis is the ideal introductory text to proofs for second and third-year undergraduate mathematics students, especially those who have completed a calculus sequence, students learning real analysis for the first time, and those learning proofs for the first time. Daniel J. Madden, PhD, is an Associate Professor of Mathematics at The University of Arizona, Tucson, Arizona, USA. He has taught a junior level course introducing students to the idea of a rigorous proof based on real analysis almost every semester since 1990. Dr. Madden is the winner of the 2015 Southwest Section of the Mathematical Association of America Distinguished Teacher Award. Jason A. Aubrey, PhD, is Assistant Professor of Mathematics and Director, Mathematics Center of the University of Arizona.
Цена 9829 руб.
СравнитьКупить
  • Форматы
    PDF
9 829 ₽
- 13%
...
An Introduction to Syntactic Analysis and Theory
An Introduction to Syntactic Analysis and Theory offers beginning students a comprehensive overview of and introduction to our current understanding of the rules and principles that govern the syntax of natural languages. Includes numerous pedagogical features such as ‘practice’ boxes and sidebars, designed to facilitate understanding of both the ‘hows’ and the ‘whys’ of sentence structure Guides readers through syntactic and morphological structures in a progressive manner Takes the mystery out of one of the most crucial aspects of the workings of language – the principles and processes behind the structure of sentences Ideal for students with minimal knowledge of current syntactic research, it progresses in theoretical difficulty from basic ideas and theories to more complex and advanced, up to date concepts in syntactic theory
Цена 4644 руб.
СравнитьКупить
  • Форматы
    PDF
4 644 ₽
...
Individual Participant Data Meta-Analysis
Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research provides a comprehensive introduction to the fundamental principles and methods that healthcare researchers need when considering, conducting or using individual participant data (IPD) meta-analysis projects. Written and edited by researchers with substantial experience in the field, the book details key concepts and practical guidance for each stage of an IPD meta-analysis project, alongside illustrated examples and summary learning points. Split into five parts, the book chapters take the reader through the journey from initiating and planning IPD projects to obtaining, checking, and meta-analysing IPD, and appraising and reporting findings. The book initially focuses on the synthesis of IPD from randomised trials to evaluate treatment effects, including the evaluation of participant-level effect modifiers (treatment-covariate interactions). Detailed extension is then made to specialist topics such as diagnostic test accuracy, prognostic factors, risk prediction models, and advanced statistical topics such as multivariate and network meta-analysis, power calculations, and missing data. Intended for a broad audience, the book will enable the reader to: Understand the advantages of the IPD approach and decide when it is needed over a conventional systematic review Recognise the scope, resources and challenges of IPD meta-analysis projects Appreciate the importance of a multi-disciplinary project team and close collaboration with the original study investigators Understand how to obtain, check, manage and harmonise IPD from multiple studies Examine risk of bias (quality) of IPD and minimise potential biases throughout the project Understand fundamental statistical methods for IPD meta-analysis, including two-stage and one-stage approaches (and their differences), and statistical software to implement them Clearly report and disseminate IPD meta-analyses to inform policy, practice and future research Critically appraise existing IPD meta-analysis projects Address specialist topics such as effect modification, multiple correlated outcomes, multiple treatment comparisons, non-linear relationships, test accuracy at multiple thresholds, multiple imputation, and developing and validating clinical prediction models Detailed examples and case studies are provided throughout.
Цена 7496 руб.
СравнитьКупить
  • Материал

    EVA

7 496 ₽
- 21%
...
Introduction to Stochastic Analysis. Integrals and Differential Equations
This is an introduction to stochastic integration and stochastic differential equations written in an understandable way for a wide audience, from students of mathematics to practitioners in biology, chemistry, physics, and finances. The presentation is based on the na?ve stochastic integration, rather than on abstract theories of measure and stochastic processes. The proofs are rather simple for practitioners and, at the same time, rather rigorous for mathematicians. Detailed application examples in natural sciences and finance are presented. Much attention is paid to simulation diffusion processes. The topics covered include Brownian motion; motivation of stochastic models with Brownian motion; It? and Stratonovich stochastic integrals, It?’s formula; stochastic differential equations (SDEs); solutions of SDEs as Markov processes; application examples in physical sciences and finance; simulation of solutions of SDEs (strong and weak approximations). Exercises with hints and/or solutions are also provided.
Цена 10377 руб.
СравнитьКупить
  • Форматы
    PDF
10 377 ₽
- 13%
...
Introduction to Mixed Modelling. Beyond Regression and Analysis of Variance
Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical data analysis. It is based on the recognition of random-effect terms in statistical models, leading to inferences and estimates that have much wider applicability and are more realistic than those otherwise obtained. Introduction to Mixed Modelling leads the reader into mixed modelling as a natural extension of two more familiar methods, regression analysis and analysis of variance. It provides practical guidance combined with a clear explanation of the underlying concepts. Like the first edition, this new edition shows diverse applications of mixed models, provides guidance on the identification of random-effect terms, and explains how to obtain and interpret best linear unbiased predictors (BLUPs). It also introduces several important new topics, including the following: Use of the software SAS, in addition to GenStat and R. Meta-analysis and the multiple testing problem. The Bayesian interpretation of mixed models. Including numerous practical exercises with solutions, this book provides an ideal introduction to mixed modelling for final year undergraduate students, postgraduate students and professional researchers. It will appeal to readers from a wide range of scientific disciplines including statistics, biology, bioinformatics, medicine, agriculture, engineering, economics, archaeology and geography. Praise for the first edition: “One of the main strengths of the text is the bridge it provides between traditional analysis of variance and regression models and the more recently developed class of mixed models…Each chapter is well-motivated by at least one carefully chosen example…demonstrating the broad applicability of mixed models in many different disciplines…most readers will likely learn something new, and those previously unfamiliar with mixed models will obtain a solid foundation on this topic.”—Kerrie Nelson University of South Carolina, in American Statistician, 2007
Цена 10586 руб.
СравнитьКупить
  • Форматы
    PDF
10 586 ₽
- 21%
...
Introduction to Mixed Modelling. Beyond Regression and Analysis of Variance
Mixed modelling is very useful, and easier than you think! Mixed modelling is now well established as a powerful approach to statistical data analysis. It is based on the recognition of random-effect terms in statistical models, leading to inferences and estimates that have much wider applicability and are more realistic than those otherwise obtained. Introduction to Mixed Modelling leads the reader into mixed modelling as a natural extension of two more familiar methods, regression analysis and analysis of variance. It provides practical guidance combined with a clear explanation of the underlying concepts. Like the first edition, this new edition shows diverse applications of mixed models, provides guidance on the identification of random-effect terms, and explains how to obtain and interpret best linear unbiased predictors (BLUPs). It also introduces several important new topics, including the following: Use of the software SAS, in addition to GenStat and R. Meta-analysis and the multiple testing problem. The Bayesian interpretation of mixed models. Including numerous practical exercises with solutions, this book provides an ideal introduction to mixed modelling for final year undergraduate students, postgraduate students and professional researchers. It will appeal to readers from a wide range of scientific disciplines including statistics, biology, bioinformatics, medicine, agriculture, engineering, economics, archaeology and geography. Praise for the first edition: “One of the main strengths of the text is the bridge it provides between traditional analysis of variance and regression models and the more recently developed class of mixed models…Each chapter is well-motivated by at least one carefully chosen example…demonstrating the broad applicability of mixed models in many different disciplines…most readers will likely learn something new, and those previously unfamiliar with mixed models will obtain a solid foundation on this topic.”—Kerrie Nelson University of South Carolina, in American Statistician, 2007
Цена 10576 руб.
СравнитьКупить
  • Форматы
    PDF
10 576 ₽

Дополнительно из категории

- 15%
...
Encyclopedia of Glass Science, Technology, History, and Culture
  • Форматы
    PDF
51 980 ₽
- 21%
...
Survey Measurement and Process Quality
An in-depth look at current issues, new research findings, and interdisciplinary exchange in survey methodology and processing Survey Measurement and Process Quality extends the marriage of traditional survey issues and continuous quality improvement further than any other contemporary volume. It documents the current state of the field, reports new research findings, and promotes interdisciplinary exchange in questionnaire design, data collection, data processing, quality assessment, and effects of errors on estimation and analysis. The book's five sections discuss a broad range of issues and topics in each of five major areas, including * Questionnaire design–conceptualization, design of rating scales for effective measurement, self-administered questionnaires, and more * Data collection–new technology, interviewer effects, interview mode, children as respondents * Post-survey processing and operations–modeling of classification operations, coding based on such systems, editing, integrating processes * Quality assessment and control–total quality management, developing current best methods, service quality, quality efforts across organizations * Effects of misclassification on estimation, analysis, and interpretation–misclassification and other measurement errors, new variance estimators that account for measurement error, estimators of nonsampling error components in interview surveys Survey Measurement and Process Quality is an indispensable resource for survey practitioners and managers as well as an excellent supplemental text for undergraduate and graduate courses and special seminars.
Цена 19984 руб.
СравнитьКупить
  • Форматы
    PDF
19 984 ₽
- 21%
...
Sense and Sensitivity
Sense and Sensitivity advances a novel research proposal in the nascent field of formal pragmatics, exploring in detail the semantics and pragmatics of focus in natural language discourse. The authors develop a new account of focus sensitivity, and show that what has hitherto been regarded as a uniform phenomenon in fact results from three different mechanisms. The book Makes a major contribution to ongoing research in the area of focus sensitivity – a field exploring interactions between sound and meaning, specifically the dependency some words have on the effects of focus, such as «she only LIKES me» (i.e. nothing deeper) compared to «she only likes ME» (i.e. nobody else) Discusses the features of the QFC theory (Quasi association, Free association, and Conventional association), a new account of focus implying a tripartite typology of focus-sensitive expressions Presents novel cross-linguistic data on focus and focus sensitivity that will be relevant across a range of linguistic sub-fields: semantics and pragmatics, syntax, and intonational phonology Concludes with a case study of exclusives (like “only”), arguing that the entire existing literature has missed crucial generalizations, and for the first time explaining the focus sensitivity of these expressions in terms of their meaning and discourse function
Цена 12997 руб.
СравнитьКупить
  • Форматы
    PDF
12 997 ₽
- 21%
...
The Law of Fundraising
Untangle the web of fundraising regulations, with the latest updates for 2018 The Law of Fundraising is the definitive reference by the field's most respected authority, and the only book to tackle the increasingly complex maze of federal and state fundraising regulations. Updated to cover the latest changes to fundraising law for 2018, this book includes new coverage of donor-advised funds, international fundraising, and the IRS's charitable spending initiative alongside updates on Form 990, political fundraising, and more. Both state and federal regulations are covered with an emphasis on administrative, tax, and constitutional law, alongside expert discussion on compliance issues, trends, and upcoming legislation. Accessible language aids in conceptual understanding, while extensive tables of cases, IRS rulings and pronouncements, checklists, and sample forms facilitate correct application. The companion website features additional tables, appendices, IRS guidelines, and other useful documents, providing attorneys, accountants, and nonprofit professionals with a rich toolkit for ensuring compliance. With all topics pertaining to finance under increasing federal scrutiny, laws surrounding fundraising are becoming increasingly difficult to parse. Mistakes can impact the nonprofit's bottom line, so keeping up-to-date is crucial; this book provides a comprehensive reference to the latest developments, along with expert forecasting of what is to come. Understand the latest state and federal laws surrounding fundraising activities Learn how the law governs Internet fundraising and other emerging issues Get up to date on the new rules surrounding donor-advised funds and international fundraising Examine prospective laws, regulatory trends, and how new rules impact fundraising professionals Fundraising is critical to the nonprofit's ability to carry out their mission, yet the regulatory tangle at both the state and federal level can be a nightmare to navigate. The Law of Fundraising streamlines compliance with the latest legal developments and invaluable tools for application.
Цена 18921 руб.
СравнитьКупить
  • Форматы
    PDF
18 921 ₽
- 21%
...
Scientific Integrity and Ethics in the Geosciences
Science is built on trust. The assumption is that scientists will conduct their work with integrity, honesty, and a strict adherence to scientific protocols. Written by geoscientists for geoscientists, Scientific Integrity and Ethics in the Geosciences acquaints readers with the fundamental principles of scientific ethics and shows how they apply to everyday work in the classroom, laboratory, and field. Resources are provided throughout to help discuss and implement principles of scientific integrity and ethics. Volume highlights include: Examples of international and national codes and policies Exploration of the role of professional societies in scientific integrity and ethics References to scientific integrity and ethics in publications and research data Discussion of science integrity, ethics, and geoethics in education Extensive coverage of data applications Scientific Integrity and Ethics in the Geosciences is a valuable resource for students, faculty, instructors, and scientists in the geosciences and beyond. It is also useful for geoscientists working in industry, government, and policymaking. Read an interview with the editors to find out more: https://eos.org/editors-vox/ethics-crucial-for-the-future-of-the-geosciences
Цена 9698 руб.
СравнитьКупить
  • Форматы
    PDF
9 698 ₽
Москва
Санкт-Петербург
Ангарск
Армавир
Архангельск
Астрахань
Балаково
Балашиха
Барнаул
Белгород
Бийск
Благовещенск
Братск
Брянск
Великий Новгород
Владивосток
Владикавказ
Владимир
Волгоград
Волжский
Вологда
Воронеж
Грозный
Дзержинск
Екатеринбург
Иваново
Ижевск
Иркутск
Йошкар-Ола
Казань
Калининград
Калуга
Кемерово
Киров
Комсомольск-на-Амуре
Королёв
Кострома
Краснодар
Красноярск
Курган
Курск
Липецк
Магнитогорск
Махачкала
Мурманск
Набережные Челны
Нальчик
Нижневартовск
Нижнекамск
Нижний Новгород
Нижний Тагил
Новокузнецк
Новороссийск
Новосибирск
Омск
Орёл
Оренбург
Орск
Пенза
Пермь
Петрозаводск
Петропавловск-Камчатский
Подольск
Прокопьевск
Псков
Ростов-на-Дону
Рыбинск
Рязань
Самара
Саранск
Саратов
Северодвинск
Смоленск
Сочи
Ставрополь
Старый Оскол
Стерлитамак
Сургут
Сыктывкар
Таганрог
Тамбов
Тверь
Тольятти
Томск
Тула
Тюмень
Улан-Удэ
Ульяновск
Уфа
Хабаровск
Химки
Чебоксары
Челябинск
Череповец
Чита
Шахты
Энгельс
Южно-Сахалинск
Якутск
Ярославль
другой город