Statistical Causal Inferences and Their Applications in Public Health Research (Record no. 426516)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 04538nam a22005415i 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOKNUMBER | |
| International Standard Book Number | 9783319412597 |
| -- | 978-3-319-41259-7 |
| 024 7# - | |
| -- | 10.1007/978-3-319-41259-7 |
| -- | doi |
| 040 ## - | |
| -- | ISI Library, Kolkata |
| 050 #4 - | |
| -- | QA276-280 |
| 072 #7 - | |
| -- | PBT |
| -- | bicssc |
| 072 #7 - | |
| -- | MED090000 |
| -- | bisacsh |
| 072 #7 - | |
| -- | PBT |
| -- | thema |
| 072 #7 - | |
| -- | MBNS |
| -- | thema |
| 082 04 - DEWEYDECIMAL CLASSIFICATION NUMBER | |
| Classification number | 519.5 |
| Edition number | 23 |
| 245 10 - TITLE STATEMENT | |
| Title | Statistical Causal Inferences and Their Applications in Public Health Research |
| Medium | [electronic resource] / |
| Statement of responsibility, etc | edited by Hua He, Pan Wu, Ding-Geng (Din) Chen. |
| 942 ## - ADDED ENTRY ELEMENTS(KOHA) | |
| Koha item type | E-BOOKS |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE STATEMENTS | |
| Place of production, publication, distribution, manufacture | Cham : |
| Name of producer, publisher, distributor, manufacturer | Springer International Publishing : |
| -- | Imprint: Springer, |
| Date of production, publication, distribution, manufacture | 2016. |
| 300 ## - | |
| -- | XV, 321 p. 24 illus., 11 illus. in color. |
| -- | online resource. |
| 336 ## - CONTENT TYPE | |
| Content Type Term | text |
| Content Type Code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media Type Term | computer |
| Media Type Code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier Type Term | online resource |
| Carrier Type Code | cr |
| Source | rdacarrier |
| 347 ## - | |
| -- | text file |
| -- | |
| -- | rda |
| 490 1# - | |
| -- | ICSA Book Series in Statistics, |
| -- | 2199-0980 |
| 505 0# - | |
| -- | Part I. Overview -- 1. Causal Inference – A Statistical Paradigm for Inferring Causality -- Part II. Propensity Score Method for Causal Inference -- 2. Overview of Propensity Score Methods -- 3. Sufficient Covariate, Propensity Variable and Doubly Robust Estimation -- 4. A Robustness Index of Propensity Score Estimation to Uncontrolled Confounders -- 5. Missing Confounder Data in Propensity Score Methods for Causal Inference -- 6. Propensity Score Modeling & Evaluation -- 7. Overcoming the Computing Barriers in Statistical Causal Inference -- Part III. Causal Inference in Randomized Clinical Studies -- 8. Semiparametric Theory and Empirical Processes in Causal Inference -- 9. Structural Nested Models for Cluster-Randomized Trials -- 10. Causal Models for Randomized Trials with Continuous Compliance -- 11. Causal Ensembles for Evaluating the Effect of Delayed Switch to Second-line Antiretroviral Regimens -- 12. Structural Functional Response Models for Complex Intervention Trials -- Part IV. Structural Equation Models for Mediation Analysis -- 13.Identification of Causal Mediation Models with An Unobserved Pre-treatment Confounder -- 14. A Comparison of Potential Outcome Approaches for Assessing Causal Mediation -- 15. Causal Mediation Analysis Using Structure Equation Models. . |
| 520 ## - | |
| -- | This book compiles and presents new developments in statistical causal inference. The accompanying data and computer programs are publicly available so readers may replicate the model development and data analysis presented in each chapter. In this way, methodology is taught so that readers may implement it directly. The book brings together experts engaged in causal inference research to present and discuss recent issues in causal inference methodological development. This is also a timely look at causal inference applied to scenarios that range from clinical trials to mediation and public health research more broadly. In an academic setting, this book will serve as a reference and guide to a course in causal inference at the graduate level (Master's or Doctorate). It is particularly relevant for students pursuing degrees in Statistics, Biostatistics and Computational Biology. Researchers and data analysts in public health and biomedical research will also find this book to be an important reference. |
| 650 #0 - | |
| -- | Statistics. |
| 650 #0 - | |
| -- | Statistical methods. |
| 650 14 - | |
| -- | Statistics for Life Sciences, Medicine, Health Sciences. |
| -- | http://scigraph.springernature.com/things/product-market-codes/S17030 |
| 650 24 - | |
| -- | Biostatistics. |
| -- | http://scigraph.springernature.com/things/product-market-codes/L15020 |
| 650 24 - | |
| -- | Public Health. |
| -- | http://scigraph.springernature.com/things/product-market-codes/H27002 |
| 700 1# - | |
| -- | He, Hua. |
| -- | editor. |
| -- | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - | |
| -- | Wu, Pan. |
| -- | editor. |
| -- | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 700 1# - | |
| -- | Chen, Ding-Geng (Din). |
| -- | editor. |
| -- | edt |
| -- | http://id.loc.gov/vocabulary/relators/edt |
| 710 2# - | |
| -- | SpringerLink (Online service) |
| 773 0# - | |
| -- | Springer eBooks |
| 776 08 - | |
| -- | Printed edition: |
| -- | 9783319412573 |
| 776 08 - | |
| -- | Printed edition: |
| -- | 9783319412580 |
| 776 08 - | |
| -- | Printed edition: |
| -- | 9783319823089 |
| 830 #0 - | |
| -- | ICSA Book Series in Statistics, |
| -- | 2199-0980 |
| 856 40 - | |
| -- | https://doi.org/10.1007/978-3-319-41259-7 |
| 912 ## - | |
| -- | ZDB-2-SMA |
| 950 ## - | |
| -- | Mathematics and Statistics (Springer-11649) |
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