Analysis of observational health care data using SAS [edited by] Douglas E. Faries, Andrew C. Leon, Josep Maria Haro, Robert L. Obenchain.
Contributor(s): Faries, Douglas E
| Leon, Andrew C | Haro, Josep Maria | Obenchain, Robert L | SAS Institute.
Material type: 
TextPublisher: Cary, NC : SAS Institute, c2010General Notes: EBSCO PDA Program.Bibliography: Includes bibliographical references and index.Description: 1 online resource (xiv, 436 p.) : ill.Content type: text Media type: computer Carrier type: online resourceISBN: 9781607644248 (electronic bk.); 160764424X (electronic bk.).Subject(s): SAS (Computer file) | SAS (Computer file) | Medical records -- Management | Medical records -- Management -- Data processingGenre/Form: Electronic books. DDC classification: 651.5/04261 Online resources: Access full-text materials at no charge: | Item type | Current library | Collection | Call number | Status | Date due | Barcode | |
|---|---|---|---|---|---|---|---|
| E-book | Davenport Library e-book | E-book | 651.5/04261 (Browse shelf(Opens below)) | Not For Loan | mq601736 |
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EBSCO PDA Program
Includes bibliographical references and index.
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.
Description based on print version record.
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