Strategies for Estimation Clause Samples
The "Strategies for Estimation" clause outlines the methods and approaches used to calculate or predict costs, timelines, or resource requirements within a contract or project. It typically specifies which estimation techniques are acceptable, such as historical data analysis, expert judgment, or industry benchmarks, and may require documentation or justification for the chosen method. This clause ensures that all parties have a clear, agreed-upon process for making projections, reducing misunderstandings and disputes over expectations or deliverables.
Strategies for Estimation. This file is constructed for estimation of utilization, expenditures, and sources of payment for other medical expenditures and to allow for estimates for the number of persons who obtained medical items in 2012.
Strategies for Estimation. This file is constructed for efficient estimation of utilization, expenditure, and sources of payment for hospital emergency room visits and to allow for estimates of number of persons with emergency room visits for 1999.
Strategies for Estimation. This file is constructed for efficient estimation of utilization, expenditure, and sources of payment for office-based medical provider visits and to allow for estimates of number of persons with office-based medical provider visits for 1996.
Strategies for Estimation. This file is constructed for efficient estimation of utilization, expenditure, and sources of payment for outpatient prescribed medicines and to allow for estimates of number of persons with prescribed medicine purchases during 2000.
Strategies for Estimation. 4.1 Developing Event-Level Estimates The data in this file can be used to develop national 2019 event-level estimates for the U.S. civilian noninstitutionalized population on inpatient hospital stays as well as expenditures, and sources of payment for these stays. Estimates of total stays are the sum of the weight variable (PERWT19F) across relevant event records while estimates of other variables must be weighted by PERWT19F to be nationally representative. The tables below contain event-level estimates for selected variables. Selected Event-Level Estimates Hospital Stays Estimate of Interest Variable Name Estimate (SE) Estimate Excluding Zero Payment Events (SE)* Total number of inpatient hospital stays (in millions) PERWT19F 29.6 (1.11) 29.5 (1.11) Total number of nights in hospital across all stays (in millions) NUMNIGHX 141.9 (7.83) 141.7 (7.82) Average number of nights per stay NUMNIGHX 4.8 (0.20) 4.8 (0.20) Average number of nights per stay (NUMNIGHX > 0) NUMNIGHX 4.8 (0.20) 4.8 (0.20) Hospital Expenditures Estimate of Interest Variable Name Estimate (SE) Estimate Excluding Zero Payment Events (SE)* Mean total payments per stay IPXP19X $16,014 ($548.4) $16,065 ($548.6) Mean out-of-pocket payment per stay IPDSF19X +IPFSF19X $423 ($27.3) $424 ($27.3) Mean proportion of total expenditures per stay paid by private insurance (IPDPV19X+ IPFPV19X) /IPXP19X ---------- 0.346 (0.0122) Mean total payments per night (NUMNIGHX > 0) IPXP19X/ NUMNIGHX $5,780 ($196.4) $5, 798 ($196.3) * Zero payment events can occur in MEPS for the following reasons: (1) the stay was covered under a flat fee arrangement (flat fee payments are included only on the first event covered by the arrangement), (2) there was no charge for a follow-up stay, (3) the provider was never paid by an individual, insurance plan, or other source for services provided, (4) the charges were included in another bill, or (5) the event was paid for through government or privately- funded research or clinical trials.
4.2 Person-Based Estimates for Hospital Inpatient Stays To enhance analyses of hospital inpatient stays, analysts may link information about inpatient stays by sample persons in this file to the annual full year consolidated file (which has data for all MEPS sample persons), or conversely, link person-level information from the full year consolidated file to this event-level file (see Section 5 below for more details). Both this file and the full year consolidated file may be used to derive ...
Strategies for Estimation. 4.1 Developing Event-Level Estimates The data in this file can be used to develop national 2019 event-level estimates for the U.S. civilian noninstitutionalized population on inpatient hospital stays as well as expenditures, and sources of payment for these stays. Estimates of total stays are the sum of the weight variable (PERWT19F) across relevant event records while estimates of other variables must be weighted by PERWT19F to be nationally representative. The tables below contain event-level estimates for selected variables. Selected Event-Level Estimates Hospital Stays Estimate of Interest Variable Name Estimate (SE) Estimate Excluding Zero Payment Events (SE)* Total number of inpatient hospital stays (in millions) PERWT19F 29.6 (1.11) 29.5 (1.11) Total number of nights in hospital across all stays (in millions) NUMNIGHX 141.9 (7.83) 141.7 (7.82) Average number of nights per stay NUMNIGHX 4.8 (0.20) 4.8 (0.20) Average number of nights per stay (NUMNIGHX > 0) NUMNIGHX 4.8 (0.20) 4.8 (0.20) Hospital Expenditures Estimate of Interest Variable Name Estimate (SE) Estimate Excluding Zero Payment Events (SE)* Mean total payments per stay IPXP19X $16,014 ($548.4) $16,065 ($548.6) Mean out-of-pocket payment per stay IPDSF19X +IPFSF19X $423 ($27.3) $424 ($27.3) Mean proportion of total expenditures per stay paid by private insurance (IPDPV19X+ IPFPV19X) /IPXP19X ---------- 0.346 (0.0122) Mean total payments per night (NUMNIGHX > 0) IPXP19X/ NUMNIGHX $5,780 ($196.4) $5, 798 ($196.3) * Zero payment events can occur in MEPS for the following reasons: (1) the stay was covered under a flat fee arrangement (flat fee payments are included only on the first event covered by the arrangement), (2) there was no charge for a follow-up stay, (3) the provider was never paid by an individual, insurance plan, or other source for services provided, (4) the charges were included in another bill, or (5) the event was paid for through government or privately- funded research or clinical trials.
4.2 Person-Based Estimates for Hospital Inpatient Stays To enhance analyses of hospital inpatient stays, analysts may link information about inpatient stays by sample persons in this file to the annual full year consolidated file (which has data for all MEPS sample persons), or conversely, link person-level information from the full year consolidated file to this event-level file (see Section 5 below for more details). Both this file and the full year consolidated file may be used to derive ...