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Total Results: 1,075 records

Showing results for "standard".

401. THE HCUP NATIONWIDE EMERGENCY DEPARTMENT SAMPLE (NEDS), 2017
     hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2017.jsp
     January 01, 2017 - The Calculating Standard Errors tutorial shows how to accurately determine the precision of the estimates … Users will learn two methods for calculating standard errors for estimates produced from the HCUP nationwide … Because the NEDS is a stratified sample, proper statistical techniques must be used to calculate standard … In addition to these subroutines, standard errors can be estimated by validation and cross-validation … Standard errors and confidence intervals then can be calculated from the validation data.

402. THE HCUP NATIONWIDE EMERGENCY DEPARTMENT SAMPLE (NEDS), 2016
     hcup-us.ahrq.gov/db/nation/neds/NEDS_Introduction_2016.jsp
     January 01, 2016 - The Calculating Standard Errors tutorial shows how to accurately determine the precision of the estimates … Users will learn two methods for calculating standard errors for estimates produced from the HCUP nationwide … Because the NEDS is a stratified sample, proper statistical techniques must be used to calculate standard … In addition to these subroutines, standard errors can be estimated by validation and cross-validation … Standard errors and confidence intervals then can be calculated from the validation data.

403. HEALTHCARE COST AND UTILIZATION PROJECT — HCUP (pdf file)
     hcup-us.ahrq.gov/db/nation/neds/NEDS2014Introduction.pdf
     December 12, 2016 - • The Calculating Standard Errors tutorial shows how to accurately determine the precision of the … Because the NEDS is a stratified sample, proper statistical techniques must be used to calculate standard … Standard formulas for a stratified, single-stage cluster sample without replacement could be used to … In addition to these subroutines, standard errors can be estimated by validation and cross- validation … Standard errors and confidence intervals then can be calculated from the validation data.

404. INTRODUCTION TO THE HCUP NATIONAL INPATIENT SAMPLE (NIS), 2014
     hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2014.jsp
     January 01, 2014 - Because the NIS is a stratified sample, proper statistical techniques must be used to calculate standard … Standard formulas for a stratified, single-stage cluster sample without replacement should still be used … In addition to these subroutines, standard errors can be estimated by validation and cross-validation … Standard errors and confidence intervals can then be calculated from the validation data. … It is straightforward to estimate accurate confidence intervals using standard statistical software.

405. THE HCUP NATIONWIDE READMISSIONS DATABASE (NRD), 2013
     hcup-us.ahrq.gov/db/nation/nrd/NRD_Introduction_2013.jsp
     January 01, 2013 - Readmission Rates Restricting Readmissions to Within State and Across All States, Medicare Standard Analytic … Discharge weights for national estimates were developed using the target universe as the standard. … State-specific patient linkage numbers, we performed a sensitivity analysis using the 2011 Medicare Standard … Standard error calculations should take into account the stratified sample (data element NRD_STRATUM) … We used the 2011 Medicare Standard Analytic File (SAF) to examine the impact on readmission rates caused

406. INTRODUCTION TO THE HCUP NATIONAL INPATIENT SAMPLE (NIS), 2019
     hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2019.jsp
     January 01, 2019 - Because the NIS is a stratified sample, proper statistical techniques must be used to calculate standard … Standard formulas for a stratified, single-stage cluster sample without replacement should still be used … In addition to these subroutines, standard errors can be estimated by validation and cross-validation … Standard errors and confidence intervals can then be calculated from the validation data. … It is straightforward to estimate accurate confidence intervals using standard statistical software.

407. Introduction To The HCUP Nationwide Emergency Department Sample (NEDS) 2021 (pdf file)
     hcup-us.ahrq.gov/db/nation/neds/NEDSIntroduction2021.pdf
     March 01, 2024 - • The Calculating Standard Errors tutorial shows how to accurately determine the precision of the … Users will learn two methods for calculating standard errors for estimates produced from the HCUP nationwide … Because the NEDS is a stratified sample, proper statistical techniques must be used to calculate standard … In addition to these subroutines, standard errors can be estimated by validation and cross- validation … Standard errors and confidence intervals then can be calculated from the validation data.

408. Potentially Preventable Pediatric Hospital Inpatient Stays for Asthma and Diabetes, 2003-2012 #192
     hcup-us.ahrq.gov/reports/statbriefs/sb192-Pediatric-Preventable-Hospitalizations-Asthma-Diabetes.jsp
     June 01, 2015 - Notes: Rates were adjusted by age and sex using the total U.S. resident population for 2010 as the standard … Notes: Rates were adjusted by age and sex using the total U.S. resident population for 2010 as the standard … Abbreviations: DNC, data not collected; DSU, data statistically unreliable because of a relative standard … percent a Rates were adjusted by age and sex using the total U.S. resident population for 2010 as the standard

409. THE HCUP NATIONWIDE READMISSIONS DATABASE (NRD), 2014
     hcup-us.ahrq.gov/db/nation/nrd/NRD_Introduction_2010-2014.jsp
     January 01, 2014 - Readmission Rates Restricting Readmissions to Within State and Across All States, Medicare Standard Analytic … Discharge weights for national estimates were developed using the target universe as the standard. … State-specific patient linkage numbers, we performed a sensitivity analysis using the 2011 Medicare Standard … Standard error calculations should take into account the stratified sample (data element NRD_STRATUM) … We used the 2011 Medicare Standard Analytic File (SAF) to examine the impact on readmission rates caused

410. THE HCUP NATIONWIDE READMISSIONS DATABASE (NRD), 2010-2016
     hcup-us.ahrq.gov/db/nation/nrd/Introduction_NRD_2010-2016.jsp
     January 01, 2016 - Readmission Rates Restricting Readmissions to Within State and Across All States, Medicare Standard Analytic … Discharge weights for national estimates were developed using the target universe as the standard. … State-specific patient linkage numbers, we performed a sensitivity analysis using the 2011 Medicare Standard … Standard error calculations should take into account the stratified sample (data element NRD_STRATUM) … We used the 2011 Medicare Standard Analytic File (SAF) to examine the impact on readmission rates caused

411. INTRODUCTION TO THE HCUP NATIONAL INPATIENT SAMPLE (NIS), 2013
     hcup-us.ahrq.gov/db/nation/nis/NIS_Introduction_2013.jsp
     January 01, 2013 - Because the NIS is a stratified sample, proper statistical techniques must be used to calculate standard … In addition to these subroutines, standard errors can be estimated by validation and cross–validation … Standard errors and confidence intervals can then be calculated from the validation data. … It is straightforward to estimate accurate confidence intervals using standard statistical software. … It is straightforward to estimate accurate confidence intervals using standard statistical software.

412. PowerPoint Presentation (pdf file)
     hcup-us.ahrq.gov/news/exhibit_booth/NASSBrochure_031220.pdf
     March 18, 2020 - PowerPoint Presentation What is the NASS? The Nationwide Ambulatory Surgery Sample (NASS) is part of the family of databases and software tools developed for the Healthcare Cost and Utilization Project (HCUP). The NASS produces national estimates of major ambulatory surgery encounters performed in hospital-owned faci…

413. THE HCUP NATIONWIDE READMISSIONS DATABASE (NRD), 2010-2017
     hcup-us.ahrq.gov/db/nation/nrd/Introduction_NRD_2010-2017.jsp
     January 01, 2017 - Readmission Rates Restricting Readmissions to Within State and Across All States, Medicare Standard Analytic … Discharge weights for national estimates were developed using the target universe as the standard. … State-specific patient linkage numbers, we performed a sensitivity analysis using the 2011 Medicare Standard … Standard error calculations should take into account the stratified sample (data element NRD_STRATUM) … We used the 2011 Medicare Standard Analytic File (SAF) to examine the impact on readmission rates caused

414. HEALTHCARE COST AND UTILIZATION PROJECT — HCUP (pdf file)
     hcup-us.ahrq.gov/db/nation/nrd/Introduction_NRD_2010-2016.pdf
     January 01, 2016 - Readmission Rates Restricting Readmissions to Within State and Across All States, Medicare Standard … Discharge weights for national estimates were developed using the target universe as the standard. … Standard error calculations should take into account the stratified sample (data element NRD_STRATUM … We used the 2011 Medicare Standard Analytic File (SAF) to examine the impact on readmission rates caused … Readmission Rates Restricting Readmissions to Within State and Across All States, Medicare Standard

415. Enhancing the Clinical Content of Administrative Data - Laboratory Data Toolkit: Feedback and Reporting Tools
     hcup-us.ahrq.gov/datainnovations/clinicaldata/lvfeedback.jsp
     February 01, 2025 - Enhancing the Clinical Content of Administrative Data - Laboratory Data Toolkit: Feedback and Reporting Tools An official website of the Department of Health & Human Services Search All AHRQ Websites …

416. 2016HCUPStateDatabases09182019 (pdf file)
     hcup-us.ahrq.gov/db/state/2016HCUPStateDatabases09182019.pdf
     September 18, 2019 - decompress) the AHRQ software tools for ICD-10-CM/PCS, save it on the computer, and load the tool into a standard

417. MAINTAIN AND EXPAND (pdf file)
     hcup-us.ahrq.gov/reports/methods/2011_03.pdf
     January 01, 2011 - Similarly, for AS records, the coding likely conforms to the standard stipulating the “reason for the

418. Slide 1 (pdf file)
     hcup-us.ahrq.gov/datainnovations/clinicaldata/5MHAProjBenefits011508.pdf
     January 15, 2008 - Slide 1 “Linking Clinical Data to Administrative Data” AHRQ Contract with MHA Potential Benefits to Participants in the Project Michael Pine, M.D., M.B.A. Michael Pine and Associates, Inc. President January 15, 2008 2 Potential Benefits to Participants Evaluation and improvement of data quality Evaluation…

419. LOINC Overview and Instructions
     hcup-us.ahrq.gov/datainnovations/clinicalcontentenhancementtoolkit/mn14.jsp
     August 01, 2014 - This information will help standardize local lab tests to an accepted standard known as Logical Observation

420. LOINC Mapping Tool Instructions
     hcup-us.ahrq.gov/datainnovations/clinicaldata/AppendixK_1LabCodingToolInstructions.jsp
     October 01, 2010 - This information will help standardize local lab tests to an accepted standard known as Logical Observation