Cause, Effect, and Everything in Between
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Cause, Effect, and Everything in Between
An Introduction to Causal Inference
Hadavand, Aboozar
Oxford University Press Inc
10/2025
152
Mole
Inglês
9780197801789
15 a 20 dias
Descrição não disponível.
Preface
1: What Is Causality?
2: The Causal Framework
3: Causal Graphs and Causal Paths
4: Causal Inference Using Interventional Data
5: Causal Inference Using Observational Data
6: Quasi-Experimental Methods
7: A Framework for Evaluating Causal Studies
8: Causal Case Studies
Answers to End-of-Chapter Questions
Index
1: What Is Causality?
2: The Causal Framework
3: Causal Graphs and Causal Paths
4: Causal Inference Using Interventional Data
5: Causal Inference Using Observational Data
6: Quasi-Experimental Methods
7: A Framework for Evaluating Causal Studies
8: Causal Case Studies
Answers to End-of-Chapter Questions
Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Preface
1: What Is Causality?
2: The Causal Framework
3: Causal Graphs and Causal Paths
4: Causal Inference Using Interventional Data
5: Causal Inference Using Observational Data
6: Quasi-Experimental Methods
7: A Framework for Evaluating Causal Studies
8: Causal Case Studies
Answers to End-of-Chapter Questions
Index
1: What Is Causality?
2: The Causal Framework
3: Causal Graphs and Causal Paths
4: Causal Inference Using Interventional Data
5: Causal Inference Using Observational Data
6: Quasi-Experimental Methods
7: A Framework for Evaluating Causal Studies
8: Causal Case Studies
Answers to End-of-Chapter Questions
Index
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
