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Causal Analysis with Event History Data Using Stata, Blossfeld, Hans-Peter


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Цена: 55110.00T
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Автор: Blossfeld, Hans-Peter
Название:  Causal Analysis with Event History Data Using Stata
ISBN: 9781032657783
Издательство: Taylor&Francis
Классификация:

ISBN-10: 1032657782
Обложка/Формат: Paperback
Страницы: 352
Вес: 0.45 кг.
Дата издания: 28.07.2025
Издание: 3 ed
Иллюстрации: 62 line drawings, black and white; 62 illustrations, black and white
Размер: 246 x 174
Основная тема: Psychological Methods & Statistics
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание: This third edition of our book provides an updated introduction to event history modeling along with many instructive Stata examples. Using the latest Stata software, each of these practical examples develops a research question, points to useful contextual background information, gives a brief account of the underlying statistical concepts, describes the organization of input data and the application of Stata statistical procedures, and assists the reader in interpreting the content of the results obtained. Emphasizing the strengths and limitations of continuous-time event history analysis in different fields of social science applications, this book demonstrates that event history models provide a useful approach to uncover causal relation- ships or to map a system of causal relationships. In particular, this book demonstrates how long-term processes can be studied, how different forms of duration dependencies can be estimated using nonparametric, parametric and semiparametric models, and how parallel and interdependent dynamic systems can be analyzed from a causal-analytical point of view using the method of episode splitting. The book also shows how changing contextual information at the micro, meso and macro levels can be easily integrated into a dynamic analysis of longitudinal data. Finally, the book addresses the problem of unobserved heterogeneity of time-constant and time-dependent omitted variables and makes suggestions for dealing with these sometimes difficult methodological problems.Causal Analysis with Event History Data Using Stata is an invaluable resource for both novice and experienced researchers from a variety of fields (e.g. sociology, economics, political science, education, psychology, demography, epidemiology, management research and organizational studies, as well as medicine and clinical applications) who need an introductory text- book on continuous-time event history analysis and who are looking for a practical handboo
Дополнительное описание: Start viiPreface ix1 Introduction 11.1 Causal Modeling and Observation Plans 51.1.1 Cross-Sectional Data 61.1.2 Panel Data 141.1.3 Event History Data 211.2 Event History Analysis and Causal Modeling 231.2.1 Causal Explanations 231.2.2 Transition Rate Mode


      Старое издание
Event History Analysis With Stata

Автор: Blossfeld
Название: Event History Analysis With Stata
ISBN: 1138070858 ISBN-13(EAN): 9781138070851
Издательство: Taylor&Francis
Цена: 51030 T
Описание: This volume provides an introduction to event history models using Stata, a widely used and powerful statistical program that provides tools for data analysis.


Автор: A. Colin Cameron, Pravin K. Trivedi
Название: Microeconometrics Using Stata, Second Edition, Volumes I and II
ISBN: 1597183598 ISBN-13(EAN): 9781597183598
Издательство: Taylor&Francis
Рейтинг:
Цена: 153120.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Microeconometrics Using Stata, Second Edition is an invaluable reference for researchers and students interested in applied microeconometric methods.

Автор: Barry C. Edwards, Philip H. Pollock III
Название: A Stata® Companion to Political Analysis
ISBN: 1071815040 ISBN-13(EAN): 9781071815045
Издательство: Sage Publications
Рейтинг:
Цена: 63360.00 T
Наличие на складе: Поставка под заказ.
Описание: The Fifth Edition of A Stata® Companion to Political Analysis by Philip H. Pollock III and Barry C. Edwards teaches your students statistics by analyzing research-quality data in Stata. It follows the structure of Essentials of Political Analysis with software instructions, explanations of tests, and many exercises for practice. 

Causality Tests In Econometrics: Choice of Causal Variables

Автор: B. Sreenivasulu et al.
Название: Causality Tests In Econometrics: Choice of Causal Variables
ISBN: 3659504041 ISBN-13(EAN): 9783659504044
Издательство: LAP LAMBERT Academic Publishing
Рейтинг:
Цена: 49810.00 T
Наличие на складе: Нет в наличии.
Описание: In the Present Book Chapter-I is an introductory one.Chapter-II describes the concept and causal relations by econometric models. It presents the different representations such as autoregressive, Moving – average and univariate representation of causality. Chapter-III explore lucidly the various tests for causality, we come across in econometrics. In regression analysis, researchers are interested in testing for the exogenity of variables this testing is closely related to the causality test proposed by Granger, which is explained in detail in this chapter. Chapter-IV gives the conclusions about the present study.The various relevant research articles have been presented under the title BIBLIOGRAPHY.

Advanced Statistics for Testing Assumed Causal Relationships

Автор: Hooshang Nayebi
Название: Advanced Statistics for Testing Assumed Causal Relationships
ISBN: 3030547531 ISBN-13(EAN): 9783030547530
Издательство: Springer
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Цена: 74530.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: It presents that potential effects of each independent variable on the dependent variable are not limited to direct and indirect effects. The path analysis shows each independent variable has a pure effect on the dependent variable. So, it can be shown the unique contribution of each independent variable to the variation of the dependent variable.

The Philosophy of Causality in Economics

Автор: Maziarz, Mariusz
Название: The Philosophy of Causality in Economics
ISBN: 0367363992 ISBN-13(EAN): 9780367363994
Издательство: Taylor&Francis
Рейтинг:
Цена: 148010.00 T
Наличие на складе: Нет в наличии.
Описание: What do economists mean when they conclude that A `causes` B? Does `cause` say that we can influence B by intervening on A, or is it only a label for the correlation of variables? This book analyses the meaning of causal claims made by economists and the philosophical presuppositions underlying the research methods used.

The Philosophy of Causality in Economics

Автор: Maziarz, Mariusz
Название: The Philosophy of Causality in Economics
ISBN: 0367494353 ISBN-13(EAN): 9780367494353
Издательство: Taylor&Francis
Рейтинг:
Цена: 51030.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: What do economists mean when they conclude that A `causes` B? Does `cause` say that we can influence B by intervening on A, or is it only a label for the correlation of variables? This book analyses the meaning of causal claims made by economists and the philosophical presuppositions underlying the research methods used.

Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS

Автор: Faries Douglas, Zhang Xiang, Kadziola Zbigniew
Название: Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS
ISBN: 1642957984 ISBN-13(EAN): 9781642957983
Издательство: Неизвестно
Рейтинг:
Цена: 104160.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Discover best practices for real world data research with SAS code and examples

Real world health care data is common and growing in use with sources such as observational studies, patient registries, electronic medical record databases, insurance healthcare claims databases, as well as data from pragmatic trials. This data serves as the basis for the growing use of real world evidence in medical decision-making. However, the data itself is not evidence. Analytical methods must be used to turn real world data into valid and meaningful evidence. Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS brings together best practices for causal comparative effectiveness analyses based on real world data in a single location and provides SAS code and examples to make the analyses relatively easy and efficient.

The book focuses on analytic methods adjusted for time-independent confounding, which are useful when comparing the effect of different potential interventions on some outcome of interest when there is no randomization. These methods include:

  • propensity score matching, stratification methods, weighting methods, regression methods, and approaches that combine and average across these methods
  • methods for comparing two interventions as well as comparisons between three or more interventions
  • algorithms for personalized medicine
  • sensitivity analyses for unmeasured confounding

Big data in omics and imaging

Автор: Xiong, Momiao (university Of Texas School Of Public Health, Usa)
Название: Big data in omics and imaging
ISBN: 1032095237 ISBN-13(EAN): 9781032095233
Издательство: Taylor&Francis
Рейтинг:
Цена: 45930.00 T
Наличие на складе: Нет в наличии.
Описание: Emerging genomic, epigenomic, sensing and image technologies will produce massive, dimensional genomic, epigenomic, physiological, image and clinical data. The book is designed to introduce the currently developed statistical methods and software for big genomic and epigenomic data analysis.

Applied Statistics and Multivariate Data Analysis

Автор: Thomas Cleff
Название: Applied Statistics and Multivariate Data Analysis
ISBN: 3030177661 ISBN-13(EAN): 9783030177669
Издательство: Springer
Рейтинг:
Цена: 60550.00 T
Наличие на складе: Поставка под заказ.
Описание: This textbook will familiarize students in economics and business, as well as practitioners, with the basic principles, techniques, and applications of applied statistics, statistical testing, and multivariate data analysis.

Workflow of data analysis using stata

Автор: Long, J. Scott (indiana University, Bloomington, Usa)
Название: Workflow of data analysis using stata
ISBN: 1597180475 ISBN-13(EAN): 9781597180474
Издательство: Taylor&Francis
Рейтинг:
Цена: 65320.00 T
Наличие на складе: Невозможна поставка.
Описание: Suitable for data analysts, this book demonstrates how to design and implement efficient workflows for both one-person projects and team projects. It describes planning, organizing, and documenting your work. It then introduces how to write and debug Stata do-files and how to use local and global macros.

Introduction to statistics and data analysis using stata (r)

Автор: Daniels, Lisa Minot, Nicholas W.
Название: Introduction to statistics and data analysis using stata (r)
ISBN: 1506371833 ISBN-13(EAN): 9781506371832
Издательство: Sage Publications
Рейтинг:
Цена: 120390.00 T
Наличие на складе: Поставка под заказ.
Описание: Offering a step-by-step introduction to data analysis in Stata, this text uses examples from a variety of disciplines and extensive detail on the commands in stata.

Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS

Автор: Faries Douglas, Zhang Xiang, Kadziola Zbigniew
Название: Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS
ISBN: 1642958026 ISBN-13(EAN): 9781642958027
Издательство: Неизвестно
Рейтинг:
Цена: 134810.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Discover best practices for real world data research with SAS code and examples

Real world health care data is common and growing in use with sources such as observational studies, patient registries, electronic medical record databases, insurance healthcare claims databases, as well as data from pragmatic trials. This data serves as the basis for the growing use of real world evidence in medical decision-making. However, the data itself is not evidence. Analytical methods must be used to turn real world data into valid and meaningful evidence. Real World Health Care Data Analysis: Causal Methods and Implementation Using SAS brings together best practices for causal comparative effectiveness analyses based on real world data in a single location and provides SAS code and examples to make the analyses relatively easy and efficient.

The book focuses on analytic methods adjusted for time-independent confounding, which are useful when comparing the effect of different potential interventions on some outcome of interest when there is no randomization. These methods include:

  • propensity score matching, stratification methods, weighting methods, regression methods, and approaches that combine and average across these methods
  • methods for comparing two interventions as well as comparisons between three or more interventions
  • algorithms for personalized medicine
  • sensitivity analyses for unmeasured confounding


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