Analysis of observational health care data using SAS / 
Douglas E. Faries, Andrew C. Leon, Josep Maria Haro, Robert L. Obenchain. 
 - Cary, N.C. :  SAS Institute,  c2010. 
 - xiv, 436 p. :  ill. ;  29 cm. 
<br/><br/>Includes bibliographical references and index. 
<br/><br/>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. 
<br/><br/><label>ISBN: </label>9781607642275 (pbk.) 1607642271 (pbk.) 
<br/><br/><label>LCCN: </label>2010459423 
<br/><br/><label>Subjects--Uniform Titles: </label><br/>SAS (Computer file)
<br/><br/><label>Subjects--Topical Terms: </label><br/>Medical records--Management.<br/>Medical records--Management--Data processing.