Bias and causation models and judgment for valid comparisons
A one-of-a-kind resource on identifying and dealing with bias in statistical research on causal effects Do cell phones cause cancer? Can a new curriculum increase student achievement? Determining what the real causes of such problems are, and how powerful their effects may be, are central issues in...
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| Format: | eBook |
| Language: | Inglés |
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Hoboken, NJ :
Wiley
c2010.
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| Edition: | 1st edition |
| Series: | Wiley series in probability and statistics.
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| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009628427206719 |
Table of Contents:
- Bias and Causation: Models and Judgment for Valid Comparisons; Contents; Preface; CHAPTER 1: What Is Bias?; CHAPTER 2: Causality and Comparative Studies; CHAPTER 3: Estimating Causal Effects; CHAPTER: 4 Varieties of Bias; CHAPTER 5: Selection Bias; CHAPTER 6: Confounding: An Enigma?; CHAPTER 7: Confounding: Essence, Correction, and Detection; CHAPTER 8: Intermediate Causal Factors; CHAPTER 9: Information Bias; CHAPTER 10: Sources of Bias; CHAPTER 11: Contending with Bias; Glossary; Bibliography; Index
