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An Introduction to Causal Analysis in Sociology

An Introduction to Causal Analysis in Sociology is een boek van Ian Birnbaum;

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The SAGE Handbook of Regression Analysis and Causal Inference

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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Agent-based Models and Causal Inference

-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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Multimethod Research, Causal Mechanisms, and Case Studies

approach to multimethod and case-study research* An essential resource for students and researchers in political science, sociology, education, law;

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Multimethod Research, Causal Mechanisms, and Case Studies

approach to multimethod and case-study research* An essential resource for students and researchers in political science, sociology, education, law;

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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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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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Causal Models in the Social Sciences

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

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

Introduction to Statistical Decision Theory: Utility Theory and Causal Analysis provides the theoretical background to approach decision;

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Epidemiology by Design

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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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

to deep causal inference and from genetic analysis alone to integrated omics and imaging data analysis for unraveling the mechanism;

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Big Data in Omics and Imaging: Integrated Analysis and Causal Inference

to deep causal inference and from genetic analysis alone to integrated omics and imaging data analysis for unraveling the mechanism;

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Introduction To Conversation Analysis

This introduction is designed to give an overview of conversation analysis. It begins by locating conversation analysis as a methodology;

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Counterfactuals and Causal Inference

, the counterfactual model of causality for observational data analysis is presented, and methods for causal effect estimation are demonstrated;

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Theory Of Causal Differential Equations

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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Statistical Approaches to Causal Analysis

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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Introduction To Conversation Analysis

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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Semiparametric Structural Equation Models for Causal Discovery

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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Big Data in Omics and Imaging, Two Volume Set

to Big Data in Omic and Imaging: Association Analysis, but can be read independently. Introduce causal inference;

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Causation in Educational Research

, 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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Causation in Educational Research

, 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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Elements of Causal Inference

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

Event History Analysis With Stata provides an introduction to event history modeling techniques using Stata (version 9), a widely used;

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Attributions in Action

. 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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An Introduction to the Sociology of Work and Occupations

Revised and updated edition of this student introduction to the sociology of work and occupations. Adopted in business and management;

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Science, Technology and Society

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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