Propensity score methods and applications:
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Book |
| Language: | English |
| Published: |
Los Angeles ; London ; New Delhi ; Singapore ; Washington DC ; Melbourne
Sage
[2019]
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| Series: | Quantitative applications in the social sciences
178 |
| Subjects: | |
| Online Access: | Inhaltsverzeichnis Klappentext |
| Physical Description: | xiii, 117 Seiten Illustrationen, Diagramme |
| ISBN: | 9781506378053 |
Staff View
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| adam_text | CONTENTS Series Editor’s Introduction ix About the Authors xi Acknowledgments xiii 1. 2. 3. 4. 5. Basic Concepts of Propensity Score Methods 1 1.1 Causal Inference 1.2 Propensity Scores 1.3 Assumptions 1.4 Summary of the Chapter 3 9 13 19 Covariate Selection and Propensity Score Estimation 21 2.1 Covariate Selection 2.2 Propensity Score Estimation 2.3 Summary of the Chapter 2.4 An Example 21 26 31 31 Propensity Score Adjustment Methods 39 3.1 Propensity Score Matching 3.2 Other Propensity Score Adjustment Methods 3.3 Summary of the Chapter 3.4 An Example 39 49 57 58 Covariate Evaluation and Causal Effect Estimation 65 4.1 Evaluating the Balance of Covariate Distributions 4.2 Causal Effect Estimation 4.3 Sensitivity Analysis 4.4 Summary of the Chapter 4.5 An Example 65 71 77 79 80 Conclusion 89 5.1 Limitations of the Propensity Score Methods and How to Address Them 5.2 Summary of Propensity Score Procedures 5.3 Final Comments 89 92 99 References 105 Index 113
Propensity Score Methods and Applications “This volume provides a thorough introduction to propensity score methods while taking care to not overwhelm the reader with dense mathematics. Simple examples, straightforward language, and a catalog of software options make this a fine primer for researchers seeking to incorporate propensity score methods into their own research plans, and an excellent desk reference. -Christopher Michael Sedelmaier, University of New Haven A concise, introductory text, Propensity Score Methods and Applications describes propensity score methods (PSM) arid how they are used to balance the distributions of observed covariates between treatment conditions as a means to reduce selection bias. This volume specifically focuses on the procedures of implementing PSM for research in social sciences, instead of merely demonstrating the effectiveness of the method. Using succinct and approachable language to introduce the basic concepts of PSM, authors Haiyan Bai and M. H. Clark present basic concepts, assumptions, procedures, available software packages, and step-by-step examples for implementing PSM using real-world data, with exercises at the end of each chapter allowing readers to replicate examples on their own. Data and software code for the examples in the book are available at study.sagepub.com/researchmethods/qass/bai clark
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| institution | BVB |
| isbn | 9781506378053 |
| language | English |
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| physical | xiii, 117 Seiten Illustrationen, Diagramme |
| publishDate | 2019 |
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| series | Quantitative applications in the social sciences |
| series2 | Quantitative applications in the social sciences |
| spelling | Bai, Haiyan Verfasser (DE-588)1179217675 aut Propensity score methods and applications Haiyan Bai (University of Central Florida), M.H. Clark (University of Central Florida) Los Angeles ; London ; New Delhi ; Singapore ; Washington DC ; Melbourne Sage [2019] © 2019 xiii, 117 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Quantitative applications in the social sciences 178 Sozialwissenschaften (DE-588)4055916-6 gnd rswk-swf Statistik (DE-588)4056995-0 gnd rswk-swf Sozialwissenschaften (DE-588)4055916-6 s Statistik (DE-588)4056995-0 s DE-604 Clark, Margaret Hilary Verfasser (DE-588)1179218868 aut Quantitative applications in the social sciences 178 (DE-604)BV000005102 178 Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030523007&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Digitalisierung UB Regensburg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030523007&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Klappentext |
| spellingShingle | Bai, Haiyan Clark, Margaret Hilary Propensity score methods and applications Quantitative applications in the social sciences Sozialwissenschaften (DE-588)4055916-6 gnd Statistik (DE-588)4056995-0 gnd |
| subject_GND | (DE-588)4055916-6 (DE-588)4056995-0 |
| title | Propensity score methods and applications |
| title_auth | Propensity score methods and applications |
| title_exact_search | Propensity score methods and applications |
| title_full | Propensity score methods and applications Haiyan Bai (University of Central Florida), M.H. Clark (University of Central Florida) |
| title_fullStr | Propensity score methods and applications Haiyan Bai (University of Central Florida), M.H. Clark (University of Central Florida) |
| title_full_unstemmed | Propensity score methods and applications Haiyan Bai (University of Central Florida), M.H. Clark (University of Central Florida) |
| title_short | Propensity score methods and applications |
| title_sort | propensity score methods and applications |
| topic | Sozialwissenschaften (DE-588)4055916-6 gnd Statistik (DE-588)4056995-0 gnd |
| topic_facet | Sozialwissenschaften Statistik |
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| volume_link | (DE-604)BV000005102 |
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