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Statistical Causal Inferences and Their Applications in Public Health Research, He


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Автор: He
Название:  Statistical Causal Inferences and Their Applications in Public Health Research
ISBN: 9783319412573
Издательство: Springer
Классификация:


ISBN-10: 3319412574
Обложка/Формат: Hardback
Страницы: 321
Вес: 0.66 кг.
Дата издания: 2016
Серия: ICSA Book Series in Statistics
Язык: English
Иллюстрации: 13 black & white illustrations, 11 colour illustrations, biography
Размер: 167 x 255 x 27
Читательская аудитория: General (us: trade)
Основная тема: Statistics / Life Sciences, Medicine, Health Sciences
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание: This book compiles and presents new developments in statistical causal inference. The accompanying data and computer programs are publicly available so readers may replicate the model development and data analysis presented in each chapter. In this way, methodology is taught so that readers may implement it directly. The book brings together experts engaged in causal inference research to present and discuss recent issues in causal inference methodological development. This is also a timely look at causal inference applied to scenarios that range from clinical trials to mediation and public health research more broadly. In an academic setting, this book will serve as a reference and guide to a course in causal inference at the graduate level (Masters or Doctorate). It is particularly relevant for students pursuing degrees in statistics, biostatistics, and computational biology. Researchers and data analysts in public health and biomedical research will also find this book to be an important reference.
Дополнительное описание: Part I. Overview.- 1. Causal Inference – A Statistical Paradigm for Inferring Causality.- Part II. Propensity Score Method for Causal Inference.- 2. Overview of Propensity Score Methods.- 3. Sufficient Covariate, Propensity Variable and Doubly Robust Esti



Counterfactuals and Causal Inference

Автор: Morgan
Название: Counterfactuals and Causal Inference
ISBN: 1107694167 ISBN-13(EAN): 9781107694163
Издательство: Cambridge Academ
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Цена: 5702.00 р.
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Описание: Cause-and-effect questions are the motivation for most research in the social, demographic, and health sciences. The counterfactual approach to causal analysis represents a unified framework for the prosecution of these questions. This second edition aims to convince more social scientists to take this approach when analyzing these core empirical questions.

Explanation in Causal Inference

Автор: VanderWeele Tyler
Название: Explanation in Causal Inference
ISBN: 0199325871 ISBN-13(EAN): 9780199325870
Издательство: Oxford Academ
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Цена: 18216.00 р.
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Описание: The book provides an accessible but comprehensive overview of methods for mediation and interaction. There has been considerable and rapid methodological development on mediation and moderation/interaction analysis within the causal-inference literature over the last ten years. Much of this
material appears in a variety of specialized journals, and some of the papers are quite technical. There has also been considerable interest in these developments from empirical researchers in the social and biomedical sciences. However, much of the material is not currently in a format that is
accessible to them. The book closes these gaps by providing an accessible, comprehensive, book-length coverage of mediation.

The book begins with a comprehensive introduction to mediation analysis, including chapters on concepts for mediation, regression-based methods, sensitivity analysis, time-to-event outcomes, methods for multiple mediators, methods for time-varying mediation and longitudinal data, and relations
between mediation and other concepts involving intermediates such as surrogates, principal stratification, instrumental variables, and Mendelian randomization. The second part of the book concerns interaction or "moderation," including concepts for interaction, statistical interaction, confounding
and interaction, mechanistic interaction, bias analysis for interaction, interaction in genetic studies, and power and sample-size calculation for interaction. The final part of the book provides comprehensive discussion about the relationships between mediation and interaction and unites these
concepts within a single framework. This final part also provides an introduction to spillover effects or social interaction, concluding with a discussion of social-network analyses.

The book is written to be accessible to anyone with a basic knowledge of statistics. Comprehensive appendices provide more technical details for the interested reader. Applied empirical examples from a variety of fields are given throughout. Software implementation in SAS, Stata, SPSS, and R is
provided. The book should be accessible to students and researchers who have completed a first-year graduate sequence in quantitative methods in one of the social- or biomedical-sciences disciplines. The book will only presuppose familiarity with linear and logistic regression, and could potentially
be used as an advanced undergraduate book as well.

Essential Statistical Inference

Автор: Boos
Название: Essential Statistical Inference
ISBN: 1461448174 ISBN-13(EAN): 9781461448174
Издательство: Springer
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Цена: 15372.00 р.
Наличие на складе: Поставка под заказ.

Описание: A superb resource on statistical inference for researchers or students, this book has R code throughout, including in sample problems, and an appendix of derived notation and formulae. It covers core topics as well as modern aspects such as M-estimation.

Causal Inference for Statistics, Social, and Biomedical Sciences

Автор: Imbens
Название: Causal Inference for Statistics, Social, and Biomedical Sciences
ISBN: 0521885884 ISBN-13(EAN): 9780521885881
Издательство: Cambridge Academ
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Цена: 8237.00 р.
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Описание: This text presents statistical methods for studying causal effects and discusses how readers can assess such effects in simple randomized experiments.

Counterfactuals and Causal Inference: Methods and Principles for Social Research, 2 ed.

Автор: Stephen L. Morgan, Christopher Winship
Название: Counterfactuals and Causal Inference: Methods and Principles for Social Research, 2 ed.
ISBN: 1107065070 ISBN-13(EAN): 9781107065079
Издательство: Cambridge Academ
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Цена: 13622.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Cause-and-effect questions are the motivation for most research in the social, demographic, and health sciences. The counterfactual approach to causal analysis represents a unified framework for the prosecution of these questions. This second edition aims to convince more social scientists to take this approach when analyzing these core empirical questions.

Inferences during Reading

Автор: O`Brien
Название: Inferences during Reading
ISBN: 1107049792 ISBN-13(EAN): 9781107049796
Издательство: Cambridge Academ
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Цена: 17424.00 р.
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Описание: Inferencing is one of the most important processes necessary for successful comprehension during reading. Converging recent research to provide a broad and in-depth theoretical account of inferencing, this volume is a valuable resource for advanced courses on reading comprehension and for practitioners seeking to understand the processes that underlie inferencing.

Probability Theory and Statistical Inference

Название: Probability Theory and Statistical Inference
ISBN: 0521424089 ISBN-13(EAN): 9780521424080
Издательство: Cambridge Academ
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Цена: 7285.00 р.
Наличие на складе: Поставка под заказ.

Описание: This major new textbook from a distinguished econometrician is intended for students taking introductory courses in probability theory and statistical inference. No prior knowledge other than a basic familiarity with descriptive statistics is assumed. The primary objective of this book is to establish the framework for the empirical modelling of observational (non-experimental) data. This framework known as 'Probabilistic Reduction' is formulated with a view to accommodating the peculiarities of observational (as opposed to experimental) data in a unifying and logically coherent way. Probability Theory and Statistical Inference differs from traditional textbooks in so far as it emphasizes concepts, ideas, notions and procedures which are appropriate for modelling observational data. Aimed at students at second-year undergraduate level and above studying econometrics and economics, this textbook will also be useful for students in other disciplines which make extensive use of observational data, including finance, biology, sociology and psychology and climatology.

New Developments in Statistical Modeling, Inference and Application

Автор: Jin
Название: New Developments in Statistical Modeling, Inference and Application
ISBN: 3319425706 ISBN-13(EAN): 9783319425702
Издательство: Springer
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Цена: 16769.00 р.
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Описание: The papers in this volume represent the most timely and advanced contributions to the 2014 Joint Applied Statistics Symposium of the International Chinese Statistical Association (ICSA) and the Korean International Statistical Society (KISS), held in Portland, Oregon. The contributions cover new developments in statistical modeling and clinical research: including model development, model checking, and innovative clinical trial design and analysis. Each paper was peer-reviewed by at least two referees and also by an editor. The conference was attended by over 400 participants from academia, industry, and government agencies around the world, including from North America, Asia, and Europe. It offered 3 keynote speeches, 7 short courses, 76 parallel scientific sessions, student paper sessions, and social events.

Models for Probability and Statistical Inference -  Theory and Applications

Автор: Stapleton
Название: Models for Probability and Statistical Inference - Theory and Applications
ISBN: 0470073721 ISBN-13(EAN): 9780470073728
Издательство: Wiley
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Цена: 22802.00 р.
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Описание: Serving as a text for a two semester sequence on probability and statistical inference complex Models for Probability and Statistical Inference: Theory and Applications features exercises throughout the book and selected answers (not solutions). Each section is followed by a selection of problems, from simple to more complex.


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