The Resource Applied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubin's statistical family, edited by Andrew Gelman, Xiao-Li Meng
Applied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubin's statistical family, edited by Andrew Gelman, Xiao-Li Meng
Resource Information
The item Applied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubin's statistical family, edited by Andrew Gelman, Xiao-Li Meng represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.This item is available to borrow from 1 library branch.
Resource Information
The item Applied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubin's statistical family, edited by Andrew Gelman, Xiao-Li Meng represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri Libraries.
This item is available to borrow from 1 library branch.
- Summary
-
- "This book is a collection of articles from leading researchers on statistical methods relating to missing data analysis, causal inference, and statistical modeling, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. The book is dedicated to Professor Donald Rubin, on the occasion of his 60th birthday, in recognition of his many and wide-ranging contributions to statistics, particularly to the topic of statistical analysis with missing data."
- "Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives presents an overview with applied examples of these key topics suitable for researchers in all areas of statistics. It adopts a practical approach suitable for applied statisticians working in social and political sciences, biological and medical sciences, and physical sciences, as well as graduate students of statistics and biostatistics."--Jacket
- Language
- eng
- Extent
- xix, 407 pages
- Contents
-
- Rajeev Dehejia
- 4.
- Medication cost sharing and drug spending in Medicare
- Alyce S. Adams
- 5.
- A comparison of experimental and observational data analyses
- Jennifer L. Hill, Jerome P. Reiter and Elaine L. Zanutto
- 6.
- Fixing broken experiments using the propensity score
- Bruce Sacerdote
- 1.
- 7.
- The propensity score with continuous treatments
- Keisuke Hirano and Guido W. Imbens
- 8.
- Causal inference with instrumental variables
- Junni L. Zhang
- 9.
- Principal stratification
- Constantine E. Frangakis
- An overview of methods for causal inference from observational studies
- Sander Greenland
- 2.
- Matching in observational studies
- Paul R. Rosenbaum
- 3.
- Estimating causal effects in nonexperimental studies
- Isbn
- 9780470090435
- Label
- Applied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubin's statistical family
- Title
- Applied Bayesian modeling and causal inference from incomplete-data perspectives
- Title remainder
- an essential journey with Donald Rubin's statistical family
- Statement of responsibility
- edited by Andrew Gelman, Xiao-Li Meng
- Language
- eng
- Summary
-
- "This book is a collection of articles from leading researchers on statistical methods relating to missing data analysis, causal inference, and statistical modeling, including multiple imputation, propensity scores, instrumental variables, and Bayesian inference. The book is dedicated to Professor Donald Rubin, on the occasion of his 60th birthday, in recognition of his many and wide-ranging contributions to statistics, particularly to the topic of statistical analysis with missing data."
- "Applied Bayesian Modeling and Causal Inference from Incomplete-Data Perspectives presents an overview with applied examples of these key topics suitable for researchers in all areas of statistics. It adopts a practical approach suitable for applied statisticians working in social and political sciences, biological and medical sciences, and physical sciences, as well as graduate students of statistics and biostatistics."--Jacket
- Cataloging source
- DLC
- Dewey number
- 519.5/42
- Illustrations
- illustrations
- Index
- index present
- LC call number
- QA279.5
- LC item number
- .A57 2004
- Literary form
- non fiction
- Nature of contents
- bibliography
- http://library.link/vocab/relatedWorkOrContributorName
-
- Rubin, Donald B
- Gelman, Andrew
- Meng, Xiao-Li
- Series statement
- Wiley series in probability and statistics
- http://library.link/vocab/subjectName
-
- Bayesian statistical decision theory
- Missing observations (Statistics)
- Bayes Theorem
- Models, Statistical
- Label
- Applied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubin's statistical family, edited by Andrew Gelman, Xiao-Li Meng
- Bibliography note
- Includes bibliographical references (pages 361-400) and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Rajeev Dehejia
- 4.
- Medication cost sharing and drug spending in Medicare
- Alyce S. Adams
- 5.
- A comparison of experimental and observational data analyses
- Jennifer L. Hill, Jerome P. Reiter and Elaine L. Zanutto
- 6.
- Fixing broken experiments using the propensity score
- Bruce Sacerdote
- 1.
- 7.
- The propensity score with continuous treatments
- Keisuke Hirano and Guido W. Imbens
- 8.
- Causal inference with instrumental variables
- Junni L. Zhang
- 9.
- Principal stratification
- Constantine E. Frangakis
- An overview of methods for causal inference from observational studies
- Sander Greenland
- 2.
- Matching in observational studies
- Paul R. Rosenbaum
- 3.
- Estimating causal effects in nonexperimental studies
- Control code
- 56032881
- Dimensions
- 24 cm
- Extent
- xix, 407 pages
- Isbn
- 9780470090435
- Isbn Type
- (acid-free paper)
- Lccn
- 2004053957
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- illustrations
- Label
- Applied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubin's statistical family, edited by Andrew Gelman, Xiao-Li Meng
- Bibliography note
- Includes bibliographical references (pages 361-400) and index
- Carrier category
- volume
- Carrier category code
-
- nc
- Carrier MARC source
- rdacarrier
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent
- Contents
-
- Rajeev Dehejia
- 4.
- Medication cost sharing and drug spending in Medicare
- Alyce S. Adams
- 5.
- A comparison of experimental and observational data analyses
- Jennifer L. Hill, Jerome P. Reiter and Elaine L. Zanutto
- 6.
- Fixing broken experiments using the propensity score
- Bruce Sacerdote
- 1.
- 7.
- The propensity score with continuous treatments
- Keisuke Hirano and Guido W. Imbens
- 8.
- Causal inference with instrumental variables
- Junni L. Zhang
- 9.
- Principal stratification
- Constantine E. Frangakis
- An overview of methods for causal inference from observational studies
- Sander Greenland
- 2.
- Matching in observational studies
- Paul R. Rosenbaum
- 3.
- Estimating causal effects in nonexperimental studies
- Control code
- 56032881
- Dimensions
- 24 cm
- Extent
- xix, 407 pages
- Isbn
- 9780470090435
- Isbn Type
- (acid-free paper)
- Lccn
- 2004053957
- Media category
- unmediated
- Media MARC source
- rdamedia
- Media type code
-
- n
- Other physical details
- illustrations
Library Links
Embed
Settings
Select options that apply then copy and paste the RDF/HTML data fragment to include in your application
Embed this data in a secure (HTTPS) page:
Layout options:
Include data citation:
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Applied-Bayesian-modeling-and-causal-inference/zZvmPnXlzlw/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Applied-Bayesian-modeling-and-causal-inference/zZvmPnXlzlw/">Applied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubin's statistical family, edited by Andrew Gelman, Xiao-Li Meng</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>
Note: Adjust the width and height settings defined in the RDF/HTML code fragment to best match your requirements
Preview
Cite Data - Experimental
Data Citation of the Item Applied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubin's statistical family, edited by Andrew Gelman, Xiao-Li Meng
Copy and paste the following RDF/HTML data fragment to cite this resource
<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.library.missouri.edu/portal/Applied-Bayesian-modeling-and-causal-inference/zZvmPnXlzlw/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.library.missouri.edu/portal/Applied-Bayesian-modeling-and-causal-inference/zZvmPnXlzlw/">Applied Bayesian modeling and causal inference from incomplete-data perspectives : an essential journey with Donald Rubin's statistical family, edited by Andrew Gelman, Xiao-Li Meng</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.library.missouri.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.library.missouri.edu/">University of Missouri Libraries</a></span></span></span></span></div>