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Part I Beginnings |
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1 Dilemmas and Craftsmanship |
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2 Causal Inference in Randomized Experiments |
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3 Two Simple Models for Observational Studies |
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4 Competing Theories Structure Design |
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5 Opportunities, Devices, and Instruments |
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6 Transparency |
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7 Some Counterclaims Undermine Themselves |
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Part II Matching |
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8 A Matched Observational Study |
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9 Basic Tools of Multivariate Matching |
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10 Various Practical Issues in Matching |
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11 Fine Balance |
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12 Matching Without Groups |
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13 Risk-Set Matching |
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14 Matching in R |
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Part III Design Sensitivity |
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15 The Power of a Sensitivity Analysis and Its Limit |
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16 Heterogeneity and Causality |
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17 Uncommon but Dramatic Responses to Treatment |
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18 Anticipated and Discovered Patterns of Response |
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19 Choice of Test Statistic |
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Part IV Enhanced Design |
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20 Evidence Factors |
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21 Constructing Several Comparison Groups |
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Part V Planning Analysis |
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22 After Matching, Before Analysis |
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23 Planning the Analysis |
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Summary: Key Elements of Design |
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Solutions to Common Problems |
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Symbols |
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Acronyms |
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Glossary of Statistical Terms |
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Further Reading |
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Suggested Readings for a Course |
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Index |
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Part I Beginnings |
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1 Dilemmas and Craftsmanship |
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2 Causal Inference in Randomized Experiments |
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ＥＢ
