The Resource Statistical Causal Inferences and Their Applications in Public Health Research, edited by Hua He, Pan Wu, Ding-Geng (Din) Chen, (electronic resource)

Statistical Causal Inferences and Their Applications in Public Health Research, edited by Hua He, Pan Wu, Ding-Geng (Din) Chen, (electronic resource)

Label
Statistical Causal Inferences and Their Applications in Public Health Research
Title
Statistical Causal Inferences and Their Applications in Public Health Research
Statement of responsibility
edited by Hua He, Pan Wu, Ding-Geng (Din) Chen
Contributor
Editor
Editor
Subject
Language
eng
Summary
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
Member of
Dewey number
519.5
http://bibfra.me/vocab/relation/httpidlocgovvocabularyrelatorsedt
  • hRJRhAB3UP4
  • _S_yQdDixLw
  • 7jSHWaDU91Q
Image bit depth
0
LC call number
QA276-280
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
  • He, Hua.
  • Wu, Pan.
  • Chen, Ding-Geng (Din).
Series statement
ICSA Book Series in Statistics,
http://library.link/vocab/subjectName
  • Statistics
  • Statistical methods
  • Statistics for Life Sciences, Medicine, Health Sciences
  • Biostatistics
  • Public Health
Label
Statistical Causal Inferences and Their Applications in Public Health Research, edited by Hua He, Pan Wu, Ding-Geng (Din) Chen, (electronic resource)
Instantiates
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references at the end of each chapters and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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.
Dimensions
unknown
Extent
1 online resource (XV, 321 p. 24 illus., 11 illus. in color.)
File format
multiple file formats
Form of item
online
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-41259-7
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)3710000000918128
  • (DE-He213)978-3-319-41259-7
  • (MiAaPQ)EBC4729521
  • (EXLCZ)993710000000918128
Label
Statistical Causal Inferences and Their Applications in Public Health Research, edited by Hua He, Pan Wu, Ding-Geng (Din) Chen, (electronic resource)
Publication
Antecedent source
mixed
Bibliography note
Includes bibliographical references at the end of each chapters and index
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
not applicable
Content category
text
Content type code
txt
Content type MARC source
rdacontent
Contents
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.
Dimensions
unknown
Extent
1 online resource (XV, 321 p. 24 illus., 11 illus. in color.)
File format
multiple file formats
Form of item
online
Level of compression
uncompressed
Media category
computer
Media MARC source
rdamedia
Media type code
c
Other control number
10.1007/978-3-319-41259-7
Quality assurance targets
absent
Reformatting quality
access
Specific material designation
remote
System control number
  • (CKB)3710000000918128
  • (DE-He213)978-3-319-41259-7
  • (MiAaPQ)EBC4729521
  • (EXLCZ)993710000000918128

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