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  1. hcup-us.ahrq.gov/reports/statbriefs/sb29.pdf
    April 01, 2007 - Because the NIS is based on a sampling frame of statewide data-collection organizations, we examined … It is drawn from a sampling frame that contains hospitals comprising 88 percent of all discharges in
  2. hcup-us.ahrq.gov/reports/natstats/his95/clinclas.htm
    January 01, 1999 - The HCUP sample is a stratified probability sample of hospitals in the frame, with sampling probabilities … Hospitals from HCUP-3 participating States (the sampling frame) are selected to represent these strata
  3. hcup-us.ahrq.gov/reports/statbriefs/sb53.pdf
    June 01, 2008 - Sampling stratifiers include hospital region, bed size, ownership, teaching status, and urban/rural … account the clustering of patients within hospitals and the hospital stratification aspects of the sampling
  4. hcup-us.ahrq.gov/reports/statbriefs/sb98.pdf
    October 01, 2010 - account the clustering of patients within hospitals and the hospital stratification aspects of the sampling … It is drawn from a sampling frame that contains hospitals comprising about 95 percent of all discharges
  5. hcup-us.ahrq.gov/reports/statbriefs/sb241-Coronary-Artery-AMI-Stroke-Hospital-Stays-2001-2014.pdf
    January 01, 2014 - from the HCUP State Inpatient Databases (SID), 2001–2014, nationally weighted analysis files using a sampling … weighting strategy similar to that used in the 2011 Nationwide Inpatient Sample, but with a higher sampling
  6. hcup-us.ahrq.gov/reports/methods/2012_03.pdf
    January 01, 2012 - There is no sampling error associated with Nielsen census population counts; therefore, appropriate … Preparing the Disparities Analysis File The sampling and weighting strategy used for the disparities … The sampling strata were defined based on five hospital characteristics: geographic region, hospital … • Hospitals were excluded from the sampling frame if the coding of patient race was suspect (i.e … For population counts based on Nielsen data, there is no sampling error.
  7. hcup-us.ahrq.gov/reports/statbriefs/sb186-Operating-Room-Procedures-United-States-2012.jsp
    December 01, 2014 - It is drawn from a sampling frame that contains hospitals comprising more than 95 percent of all discharges … The new sampling strategy is expected to result in more precise estimates than those that resulted from … the previous NIS design by reducing sampling error: for many estimates, confidence intervals under the
  8. hcup-us.ahrq.gov/reports/statbriefs/sb187-Hospital-Stays-Children-2012.pdf
    January 01, 2012 - It is drawn from a sampling frame that contains hospitals comprising more than 95 percent of all discharges … The new sampling strategy is expected to result in more precise estimates than those that resulted from … the previous NIS design by reducing sampling error: for many estimates, confidence intervals under
  9. hcup-us.ahrq.gov/reports/statbriefs/sb182-Medicaid-Uninsured-Hospitalizations-2012.jsp
    October 01, 2014 - It is drawn from a sampling frame that contains hospitals comprising more than 95 percent of all discharges … The new sampling strategy is expected to result in more precise estimates than those that resulted from … the previous NIS design by reducing sampling error: for many estimates, confidence intervals under the
  10. hcup-us.ahrq.gov/reports/statbriefs/sb222-Preeclampsia-Eclampsia-Delivery-Trends.jsp
    April 01, 2017 - It is drawn from a sampling frame that contains hospitals comprising more than 95 percent of all discharges … Over time, the sampling frame for the NIS has changed; thus, the number of States contributing to the … The new sampling strategy is expected to result in more precise estimates than those that resulted from … the previous NIS design by reducing sampling error: for many estimates, confidence intervals under the
  11. hcup-us.ahrq.gov/reports/statbriefs/sb232-Hepatitis-C-Hospital-Stays-Trends.jsp
    December 01, 2017 - It is drawn from a sampling frame that contains hospitals comprising more than 95 percent of all discharges … Over time, the sampling frame for the NIS has changed; thus, the number of States contributing to the … The new sampling strategy is expected to result in more precise estimates than those that resulted from … the previous NIS design by reducing sampling error: for many estimates, confidence intervals under the
  12. hcup-us.ahrq.gov/reports/statbriefs/sb232-Hepatitis-C-Hospital-Stays-Trends.pdf
    June 19, 2017 - It is drawn from a sampling frame that contains hospitals comprising more than 95 percent of all discharges … Over time, the sampling frame for the NIS has changed; thus, the number of States contributing to the … The new sampling strategy is expected to result in more precise estimates than those that resulted from … the previous NIS design by reducing sampling error: for many estimates, confidence intervals under
  13. hcup-us.ahrq.gov/reports/statbriefs/sb222-Preeclampsia-Eclampsia-Delivery-Trends.pdf
    December 01, 2016 - It is drawn from a sampling frame that contains hospitals comprising more than 95 percent of all discharges … Over time, the sampling frame 25 for the NIS has changed; thus, the number of States contributing … The new sampling strategy is expected to result in more precise estimates than those that resulted from … the previous NIS design by reducing sampling error: for many estimates, confidence intervals under
  14. hcup-us.ahrq.gov/tech_assist/data_query/HCUPnet_Readmissions_Methodology.pdf
    November 01, 2012 - Over time, the sampling frame for the NRD will change; thus, the number of States contributing to the
  15. hcup-us.ahrq.gov/db/nation/nis/APS-DRGsV20WeightsManual.pdf
    January 06, 2025 - Within each stratum, sampling probabilities are directly proportional to the number of hospitals located … Applying national sampling weights, these records represent more than 36 million discharges from community
  16. hcup-us.ahrq.gov/nassoverview.jsp
    February 01, 2025 - The sampling of the NASS changed over time to capture emergent in-scope ambulatory surgeries (i.e., in-scope
  17. hcup-us.ahrq.gov/figures/nis_figure5_2010.jsp
    January 01, 2010 - Figure 5: Number of Hospitals Sampled, by Year Figure 5: Number of Hospitals Sampled, by Year Years Regular Sample Hospitals Total Sample Hospitals 1988 758 759 1989 875 882 1990 861 871 1991 847 859 1992 838 856 1993 913   1994 …
  18. hcup-us.ahrq.gov/figures/nis_figure5_2013.jsp
    January 01, 2013 - Figure 5: Number of Hospitals Sampled, by Year Figure 5: Number of Hospitals Sampled, by Year Years Regular Sample Hospitals Total Sample Hospitals 1988 758 759 1989 875 882 1990 861 871 1991 847 859 1992 838 856 1993 913   1994 …
  19. hcup-us.ahrq.gov/figures/nis_figure5_2012.jsp
    January 01, 2012 - Figure 5: Number of Hospitals Sampled, by Year Figure 5: Number of Hospitals Sampled, by Year Years Regular Sample Hospitals Total Sample Hospitals 1988 758 759 1989 875 882 1990 861 871 1991 847 859 1992 838 856 1993 913   1994 …
  20. hcup-us.ahrq.gov/figures/nis_figure5_2011.jsp
    January 01, 2011 - Figure 5: Number of Hospitals Sampled, by Year Figure 5: Number of Hospitals Sampled, by Year Years Regular Sample Hospitals Total Sample Hospitals 1988 758 759 1989 875 882 1990 861 871 1991 847 859 1992 838 856 1993 913   1994 …

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