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An Introduction to Causal Analysis in Sociology is een boek van Ian Birnbaum;
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longitudinal data with an emphasis on causal analysis and provides readers with an introduction to and exploration of a large range of techniques.;
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-based Models and Causal Inference is an important and much-needed contribution to sociology and computational social science. The book provides;
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approach to multimethod and case-study research* An essential resource for students and researchers in political science, sociology, education, law;
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approach to multimethod and case-study research* An essential resource for students and researchers in political science, sociology, education, law;
Vergelijkbare producten zoals Multimethod Research, Causal Mechanisms, and Case Studies
history data. The second edition of Event History Analysis with Stata provides an updated introduction to event history modeling, along with many;
Vergelijkbare producten zoals Event History Analysis With Stata
history data. The second edition of Event History Analysis with Stata provides an updated introduction to event history modeling, along with many;
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of the social scientist. This collection of articles is a course book on the causal modeling approach to theory construction and data analysis. H;
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Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision;
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Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision;
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introduction to epidemiology is complete without extensive discussion of causal inference; what's missing is a textbook that takes such an approach;
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to deep causal inference and from genetic analysis alone to integrated omics and imaging data analysis for unraveling the mechanism;
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to deep causal inference and from genetic analysis alone to integrated omics and imaging data analysis for unraveling the mechanism;
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This introduction is designed to give an overview of conversation analysis. It begins by locating conversation analysis as a methodology;
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, the counterfactual model of causality for observational data analysis is presented, and methods for causal effect estimation are demonstrated;
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introducing several new ideas. This book is a timely introduction to the subject in a more generalised frame work. The present monograph collects;
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A practical, up-to-date, step-by-step guidance on causal analysis; which features worked example datasets throughout to see methods;
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of transcription. This introduction is designed to give an overview of conversation analysis. It begins by locating conversation analysis as a methodology;
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This is the first book to provide a comprehensive introduction to a new semiparametric causal discovery approach known as LiNGAM, with the;
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to Big Data in Omic and Imaging: Association Analysis, but can be read independently. Introduce causal inference;
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, underpinned by a rigorous analysis of key issues from philosophy, sociology and psychology. It will appeal to new and established researchers, readers;
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, underpinned by a rigorous analysis of key issues from philosophy, sociology and psychology. It will appeal to new and established researchers, readers;
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A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning. The;
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Event History Analysis With Stata provides an introduction to event history modeling techniques using Stata (version 9), a widely used;
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. This book provides an overview of attribution theory and causal beliefs, from a practitioner perspective an introduction to a tried and;
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Revised and updated edition of this student introduction to the sociology of work and occupations. Adopted in business and management;
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in the character of science itself? These two questions lie at the heart of this new introduction to the sociology of science and technology;
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