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To achieve this aim, we compared procedure assignments based on Medicare claims with the type of surgery specified in SEER registry data and clinical operative reports.
We performed separate calculations for overall procedure assignments (i.e., ORN vs OPN vs LRN vs LPN), partial versus radical nephrectomy, and open versus laparoscopic surgical approach.
The primary goal of this study, therefore, was to validate our Medicare-claims-based algorithm for classifying kidney cancer surgeries by comparing procedure assignments based on Medicare claims with the type of surgery specified in SEER registry data and actual clinical operative reports.
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With a similar procedure, assignment rules can be set for parameters of kinetic rate laws.
After obtaining Institutional Review Board approvals, we undertook a two-step approach to assessing the validity of our claims-based algorithm for kidney cancer surgical procedure assignment.
The algorithm included explicit rules for procedure assignment for cases with multiple surgical claims and/or discrepancies between the inpatient and physician claims (e.g., a hospital claim for partial nephrectomy coupled with a physician claim for radical nephrectomy).
We first calculated the overall concordance or observed agreement rate between the claims algorithm and the medical record (i.e., the number of cases where procedure assignment was the same for the claims algorithm and the operative report divided by the total number of cases in the validation sample).
Therefore, we have to combine our re-substitution process after the CYC2008 procedure for function assignment for complexes.
As aforementioned, in this study, we categorize urban Chinese job seekers before 2003 into three types: job-assignment adherents who obtained the assigned job by completely following a formal procedure, job-assignment networkers who got assigned jobs by more or less mobilizing guanxi, and market adventurers who did not get assigned jobs and thus found employment through the market channel.
Then, a group assignment procedure, which assigns a group of tasks at a time rather than a unit task, is designed.
This classification-error matrix can be calculated for any 2nd stage class-assignment procedure (e.g., modal class assignment, proportional assignment, random assignment) and furthermore, in the case of modal class assignment, the required matrix can easily be derived from that given in Mplus' standard output for a latent class model.
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