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The Resource Analysis of observational health care data using SAS, [edited by] Douglas E. Faries, Andrew C. Leon, Josep Maria Haro, Robert L. Obenchain

Analysis of observational health care data using SAS, [edited by] Douglas E. Faries, Andrew C. Leon, Josep Maria Haro, Robert L. Obenchain

Label
Analysis of observational health care data using SAS
Title
Analysis of observational health care data using SAS
Statement of responsibility
[edited by] Douglas E. Faries, Andrew C. Leon, Josep Maria Haro, Robert L. Obenchain
Contributor
Editor
Subject
Language
eng
Summary
Annotation
Cataloging source
DLC
Dewey number
610.285
Illustrations
illustrations
Index
index present
LC call number
R864
LC item number
.A53 2010
Literary form
non fiction
Nature of contents
bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Faries, Douglas E.
  • SAS Institute
http://library.link/vocab/subjectName
Medical records
Summary expansion
This book guides researchers in performing and presenting high-quality analyses of all kinds of non-randomized studies, including analyses of observational studies, claims database analyses, assessment of registry data, survey data, pharmaco-economic data, and many more applications. The text is sufficiently detailed to provide not only general guidance, but to help the researcher through all of the standard issues that arise in such analyses. Just enough theory is included to allow the reader to understand the pros and cons of alternative approaches and when to use each method. The numerous contributors to this book illustrate, via real-world numerical examples and SAS code, appropriate implementations of alternative methods. The end result is that researchers will learn how to present high-quality and transparent analyses that will lead to fair and objective decisions from observational data
Label
Analysis of observational health care data using SAS, [edited by] Douglas E. Faries, Andrew C. Leon, Josep Maria Haro, Robert L. Obenchain
Instantiates
Publication
Copyright
Bibliography note
Includes bibliographical references 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
Introduction to observational studies -- Propensity score stratification and regression -- Propensity score matching for estimating treatment effects -- Doubly robust estimation of treatment effects -- Propensity scoring with missing values -- Instrumental variable method for addressing selection bias -- Local control approach using JMP -- A two-stage longitudinal propensity adjustment for analysis of observational data -- Analysis of longitudinal observational data using marginal structural models -- Structural nested models -- Regression models on longitudinal propensity scores -- Good research practices for the conduct of observational database studies -- Dose-response safety analyses using large health care databases -- Costs and cost-effectiveness analysis using propensity score bin bootstrapping -- Incremental net benefit -- Cost and cost-effectiveness analysis with censored data -- Addressing measurement and sponsor biases in observational research -- Sample size calculation for observational studies
Control code
ocn506277599
Dimensions
29 cm
Extent
xiv, 436 pages
Isbn
9781607642275
Isbn Type
(pbk.)
Lccn
2010459423
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
System control number
(OCoLC)506277599
Label
Analysis of observational health care data using SAS, [edited by] Douglas E. Faries, Andrew C. Leon, Josep Maria Haro, Robert L. Obenchain
Publication
Copyright
Bibliography note
Includes bibliographical references 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
Introduction to observational studies -- Propensity score stratification and regression -- Propensity score matching for estimating treatment effects -- Doubly robust estimation of treatment effects -- Propensity scoring with missing values -- Instrumental variable method for addressing selection bias -- Local control approach using JMP -- A two-stage longitudinal propensity adjustment for analysis of observational data -- Analysis of longitudinal observational data using marginal structural models -- Structural nested models -- Regression models on longitudinal propensity scores -- Good research practices for the conduct of observational database studies -- Dose-response safety analyses using large health care databases -- Costs and cost-effectiveness analysis using propensity score bin bootstrapping -- Incremental net benefit -- Cost and cost-effectiveness analysis with censored data -- Addressing measurement and sponsor biases in observational research -- Sample size calculation for observational studies
Control code
ocn506277599
Dimensions
29 cm
Extent
xiv, 436 pages
Isbn
9781607642275
Isbn Type
(pbk.)
Lccn
2010459423
Media category
unmediated
Media MARC source
rdamedia
Media type code
n
Other physical details
illustrations
System control number
(OCoLC)506277599

Library Locations

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      325 Superior Ave., N.E., Cleveland, OH, 44114, US
      41.501174 -81.69177499999999
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