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The advantages and disadvantages of using administrative/claims data to estimate RSMR have been well described.
<.05 <3 < .08/< .05 established Model NNFI CFI RSMR [M.sub.1] .82 .85 .100 [M.sub.2] .85 .87 .094 [M.sub.3] .94 .95 .062 [M.sub.4] .95 .96 .054 [M.sub.4L] .98 .98 .049 Min.
The 30-day risk-standardized mortality rates (RSMRs) decreased from 18.8 percent in 1995 to 15.8 percent in 2006.
Using longitudinal hospital-level data on RSC and RSMR, this approach identified classes of hospitals based on their combined trajectory pattern of in-hospital cost and mortality over time.
On the other hand, this model's [X.sup.2]/df ratio and RSMR values were within acceptable ranges (Wheaton, 1987).
Acute Myocardial Infarction (AMI): Hospital 30-Day, All Cause, Risk-Standardized Mortality Rate (RSMR) Following AMI Hospitalization [accessed on March 15, 2013].
In this study, we performed a simulation experiment, which eliminates potential risk confounding, that tests the accuracy of five alternative outcome estimators: Observed-over-Expected, the Dimick-Staiger estimator, the Hierarchical Poisson (HP) estimator, the Risk-Standardized Mortality Rate (RSMR), and the Moving Average (MA) estimator.
The final models fit the data very well for both treatment groups, exceeding standard criteria for good model fit; [chi square](218)=266.9; CFI=0.98; RSMR = 0.04; [chi square](233) = 309.1; CFI = 0.97; RSMR = 0.03, for the residential and outpatient samples, respectively.
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