Data Science PhD - Marco Malvaldi - Statistical Causality Asking “What if?” to data 6/6 (25/05/2021)
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Short course for the PhD Program in Data Science – Scuola Normale…
Handbook of Causal Analysis for Social Research
Overview of attention for book
Table of Contents
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Altmetric BadgeBook Overview
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Altmetric BadgeChapter 1 Introduction
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Altmetric BadgeChapter 2 A History of Causal Analysis in the Social Sciences
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Altmetric BadgeChapter 3 Types of Causes
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Altmetric BadgeChapter 4 Research Design: Toward a Realistic Role for Causal Analysis
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Altmetric BadgeChapter 5 Causal Models and Counterfactuals
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Altmetric BadgeChapter 6 Mixed Methods and Causal Analysis
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Altmetric BadgeChapter 7 Fixed Effects, Random Effects, and Hybrid Models for Causal Analysis
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Altmetric BadgeChapter 8 Heteroscedastic Regression Models for the Systematic Analysis of Residual Variances
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Altmetric BadgeChapter 9 Group Differences in Generalized Linear Models
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Altmetric BadgeChapter 10 Counterfactual Causal Analysis and Nonlinear Probability Models
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Altmetric BadgeChapter 11 Causal Effect Heterogeneity
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Altmetric BadgeChapter 12 New Perspectives on Causal Mediation Analysis
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Altmetric BadgeChapter 13 Graphical Causal Models
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Altmetric BadgeChapter 14 The Causal Implications of Mechanistic Thinking: Identification Using Directed Acyclic Graphs (DAGs)
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Altmetric BadgeChapter 15 Eight Myths About Causality and Structural Equation Models
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Altmetric BadgeChapter 16 Heterogeneous Agents, Social Interactions, and Causal Inference
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Altmetric BadgeChapter 17 Social Networks and Causal Inference
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Altmetric BadgeChapter 18 Partial Identification and Sensitivity Analysis
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Altmetric BadgeChapter 19 What You Can Learn from Wrong Causal Models
