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Building Data Capacity for Patient-Centered Outcomes Research : Priorities for the Next Decade
Building Data Capacity for Patient-Centered Outcomes Research : Priorities for the Next Decade
Autore National Academies of Sciences Engineering, and Medicine
Edizione [1st ed.]
Pubbl/distr/stampa Washington, D.C. : , : National Academies Press, , 2023
Descrizione fisica 1 online resource (369 pages)
Disciplina 610.696
Altri autori (Persone) SciencesDivision on Engineering and Physical
DivisionHealth and Medicine
EducationDivision of Behavioral and Social Sciences and
BoardComputer Science and Telecommunications
ServicesBoard on Health Care
StatisticsCommittee on National
2030Committee on Building Data Capacity for Patient-Centered Outcomes Research : An Agenda for 2021 to
Soggetto topico Outcome assessment (Medical care) - Research - Data processing
Patient-centered health care - Research - Data processing
Medical care
ISBN 9780309287142
0309287146
9780309287128
030928712X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- FrontMatter -- Acknowledgments -- Contents -- Boxes, Figures, and Tables -- Summary -- 1 Committee Charge and Process -- 2 Background on the PCOR Data Infrastructure and Office of the Secretary PCOR Trust Fund -- 3 Priority Areas for the PCOR Data Infrastructure -- Appendix A: Biographical Sketches of Committee Members -- Appendix B: Building Data Capacity for Patient-Centered Outcomes Research: Interim Report 1-Looking Ahead at Data Needs -- Appendix C: Building Data Capacity for Patient-Centered Outcomes Research: Interim Report 2-Data Standards, Methods, and Policy -- Appendix D: Building Data Capacity for Patient-Centered Outcomes Research: Interim Report 3-A Comprehensive Ecosystem for PCOR -- Appendix E: Office of the Secretary PCOR Trust Fund Project Portfolio.
Record Nr. UNINA-9910965442603321
National Academies of Sciences Engineering, and Medicine  
Washington, D.C. : , : National Academies Press, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science
Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science
Autore National Academies of Sciences Engineering, and Medicine
Pubbl/distr/stampa Washington, D.C. : , : National Academies Press, , 2021
Descrizione fisica 1 online resource (xx, 134 pages) : illustrations
Altri autori (Persone) EducationDivision of Behavioral and Social Sciences and
AffairsPolicy and Global
SciencesDivision on Engineering and Physical
StatisticsCommittee on National
WorkforceBoard on Higher Education and
BoardComputer Science and Telecommunications
BoardAir Force Studies
StatisticsCommittee on Applied and Theoretical
AnalyticsBoard on Mathematical Sciences and
Soggetto topico Defense contracts - United States
Public contracts - United States
Government purchasing - United States
Data integration (Computer science)
ISBN 0-309-68496-X
0-309-68494-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Defense acquisition process data, and workforce: the short version -- Data science and the data life cycle: the short version -- Data science in DoD acquisition -- Data life cycle mindset, skillset, and toolset: roles and teams -- Preparing and sustaining a data-capable defence acquisition workforce -- Finding, conclusions, and recommendations -- Appendix A. Meeting and workshop agendas -- Appendix B. Defence acquisition notes -- Appendix C. Data science case studies in defense acquisition -- Appendix D. Skills for data science mastery -- Appendix E. Glossary of terms, abbreviations, and acronyms -- Appendix F. Committee member biographies.
Record Nr. UNINA-9910861981103321
National Academies of Sciences Engineering, and Medicine  
Washington, D.C. : , : National Academies Press, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Improving Information for Social Policy Decisions -- The Uses of Microsimulation Modeling, Volume I [[electronic resource] ] : Review and Recommendations
Improving Information for Social Policy Decisions -- The Uses of Microsimulation Modeling, Volume I [[electronic resource] ] : Review and Recommendations
Autore Staff National Research Council
Pubbl/distr/stampa Washington, : National Academies Press, 1991
Descrizione fisica 1 online resource (360 p.)
Disciplina 361.6/1
Altri autori (Persone) StatisticsCommittee on National
Soggetto topico Public welfare - Decision making
Social policy - Decision making
Social policy - Simulation methods
Decision making - Mathematical models
Soggetto genere / forma Electronic books.
ISBN 1-280-21186-5
9786610211869
0-309-55730-5
0-585-00194-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Improving Information for Social Policy Decisions; Copyright; Contents; Acknowledgments; Summary; IMPROVING THE TOOLS OF POLICY ANALYSIS: INVESTMENT PRIORITIES; Validation; Better Data; THE ROLE OF MICROSIMULATION AS A POLICY ANALYSIS TOOL; Databases; Model Design and Development; Computing Technology; Validation; Documentation and Archiving; The Structure of the Community; The Use of Microsimulation for Basic Research; RECOMMENDATIONS FOR IMPROVING POLICY ANALYSIS; Data; Validation; RECOMMENDATIONS FOR MICROSIMULATION MODELS; Databases; Model Design and Development; Computing Technology
Health Care and Retirement Policy Modeling Validation; Documentation and Archiving; Structure of the Microsimulation Modeling Community; 1 Introduction; A SCENE IN WASHINGTON, D.C.; THE TOOLS OF POLICY ANALYSIS; THE PANEL STUDY; Part I Information for Social Welfare Policy: Toward A Second Revolution; 2 The Search for Useful Information; THE FIRST INFORMATION REVOLUTION; POLICY ANALYSIS: BETWEEN SOCIAL SCIENCE RESEARCH AND POLITICS; A CASE STUDY OF POLICY ANALYSIS: THE FAMILY SUPPORT ACT OF 1988; Provisions That Could Be Estimated With Microsimulation Models
Provisions That Could Not Be Estimated With Microsimulation Models Problems in the Estimation Process; 3 Improving the Tools and Uses of Policy Analysis; A STRATEGY FOR INVESTMENT; DATA QUALITY AND AVAILABILITY; Investment in Data Production; Coordination of Data Production; Broadened Data Collection; Linking Survey and Administrative Data; Adding Value to Existing Data; VALIDATION; The Difficulty of Validation; Kinds of Model Validation; External Validation; Internal Validation; Investment in Model Validation; DOCUMENTATION AND COMMUNICATION OF THE RESULTS OF POLICY ANALYSIS
Documentation and Archiving as Aids to Validation Communicating Validation Results to Decision Makers; Appendix Models, Uncertainty, and Confidence Intervals; MODELS; UNCERTAINTY OF AN ESTIMATE; CONDITIONAL VERSUS UNCONDITIONAL CONFIDENCE INTERVALS; AN ILLUSTRATIVE DIAGRAM; Part II The Role of Microsimulation as a Policy Analysis Tool; 4 Microsimulation Models: Then and Now; BASIC ELEMENTS OF MICROSIMULATION MODELS; DEVELOPMENT OF MICROSIMULATION MODELING FOR POLICY ANALYSIS; Origins: 1950's to mid-1960's; Development of Static Models: Late 1960's to Early 1980's
Development of Dynamic Models: 1970's to Early 1980's Retreats and Advances: The 1980's; ROLE AND CURRENT STATUS OF MICROSIMULATION: FINDINGS; Overall Value; A Range of Policy Analysis Tools; Analytical Costs; Model Uncertainty; Data Adequacy; Research Knowledge; Computer Technologies; Microsimulation Modeling Community; Future Directions; 5 Databases for Microsimulation; DATA QUALITY: THE MARCH CPS; Survey-Based Problems; Coverage; Response Rates; Sampling Error; Missing Detail; Data Omissions; STRATEGIES FOR TREATING MISSING AND ERRONEOUS DATA; Disaggregation; Imputation for Item Nonresponse
Imputation for Items Not Collected
Record Nr. UNINA-9910456248903321
Staff National Research Council  
Washington, : National Academies Press, 1991
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Measurement and Interpretation of Productivity [[electronic resource]]
Measurement and Interpretation of Productivity [[electronic resource]]
Autore Statistics Panel to Review Productivity
Pubbl/distr/stampa Washington, : National Academies Press, 1979
Descrizione fisica 1 online resource (457 p.)
Disciplina 658.5
Altri autori (Persone) StatisticsCommittee on National
SciencesAssembly of Behavioral and Social
Soggetto topico Electronic books. -- local
Industrial efficiency -- Measurement
Industrial productivity -- Measurement
Soggetto genere / forma Electronic books.
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto ""Measurement and Interpretation of Productivity""; ""Copyright""; ""Contents""; ""Acknowledgments""; ""REPORT""; ""1 Introduction, Findings, and Recommendations""; ""INTRODUCTION""; ""FINDINGS AND RECOMMENDATIONS""; ""THE PRESENTATION AND INTERPRETATION OF PRODUCTIVITY MEASURES""; ""MEASUREMENT OF OUTPUT""; ""MEASUREMENT OF INPUTS""; ""Labor Input""; ""Capital Input""; ""Intermediate Inputs""; ""Multi-Factor Productivity Measures""; ""MEASUREMENT OF THE SOURCES OF PRODUCTIVITY CHANGE""; ""INTERAGENCY COOPERATION AND COORDINATION""; ""INTER-FIRM COMPARISONS""
""INTERNATIONAL COMPARISONS OF OUTPUT AND PRODUCTIVITY""""2 Uses, Misuses, and Limitations of Productivity Statistics""; ""THE NATURE OF PRODUCTIVITY MEASURES""; ""PRODUCTIVITY MEASURES AS INDEXES OF PERFORMANCE""; ""PRODUCTIVITY MEASURES, LIVING STANDARDS, AND INCOME DISTRIBUTION""; ""THE USE OF PRODUCTIVITY MEASURES IN FORECASTING AND BUSINESS CYCLE ANALYSIS""; ""ANALYZING THE SOURCES OF ECONOMIC GROWTH""; ""SOME LIMITATIONS OF PRODUCTIVITY MEASURES""; ""NOTES""; ""3 Basic Productivity Concepts: Meaning and Measurement""; ""THE FRAMEWORK OF PRODUCTION THEORY""; ""MEASURES OF PRODUCTIVITY""
""MEASURES OF PARTIAL PRODUCTIVITY""""MEASURES OF MULTI-FACTOR PRODUCTIVITY""; ""OUTPUT""; ""INPUTS""; ""NOTES""; ""4 Government Measures of Productivity: Concepts, Methods, and Sources""; ""OVERVIEW OF GOVERNMENT MEASURES""; ""DATA SOURCES""; ""PROBLEMS OF MEASURING REAL OUTPUT""; ""ECONOMY-WIDE MEASURES""; ""REAL OUTPUT""; ""LABOR INPUT""; ""REVISIONS""; ""INDUSTRY DIVISIONS""; ""DATA SOURCES AND ESTIMATING METHODOLOGY""; ""RELIABILITY OF MEASURED CHANGES""; ""DETAILED INDUSTRY PROGRAM""; ""METHODS AND DATA SOURCES""; ""Benchmark Output Series""; ""Annual Output Measures""
""Labor Input Measures""""LIMITATIONS""; ""PROGRAM TO MEASURE PRODUCTIVITY IN THE FEDERAL GOVERNMENT""; ""METHODOLOGY AND DATA SOURCES""; ""USES AND LIMITATIONS""; ""EXCLUSIONS FROM EXISTING MEASURES""; ""STATE AND LOCAL GOVERNMENT""; ""NOT-FOR-PROFIT SECTOR""; ""HOUSEHOLDS""; ""EXTERNAL EFFECTS AND OUTPUT""; ""NOTES""; ""5 The Measurement of Output""; ""THE OUTPUT MEASURE""; ""DEFINING THE ACTIVITIES TO BE INCLUDED""; ""GUIDELINES FOR INCLUSION OR EXCLUSION""; ""NET VERSUS GROSS OUTPUT""; ""CAPITALIZATION OF INTANGIBLE INVESTMENT""
""DIVIDING VALUE CHANGES BETWEEN CHANGES IN PRICES AND CHANGES IN REAL OUTPUT""""CURRENT PROCEDURES FOR MEASURING PRICE CHANGES""; ""TYPES OF QUALITY CHANGE""; ""CONCEPTUAL PROBLEMS IN THE MEASUREMENT OF QUALITY CHANGE""; ""THE CURRENT APPROACH OF GOVERNMENT AGENCIES""; ""METHODS OF MEASURING QUALITY CHANGES""; ""PROBLEMS IN MEASURING TYPE 1 QUALITY CHANGES""; ""Lateness in Introducing New Products""; ""Obsolete Models""; ""Change in the Prevalence of Discounting""; ""Omitted Products""; ""PROBLEMS IN MEASURING TYPE 2 QUALITY CHANGES""; ""PROBLEMS IN MEASURING TYPE 3 QUALITY CHANGES""
""IMPORTANCE OF QUALITY ADJUSTMENTS FOR PRODUCTIVITY MEASUREMENT""
Record Nr. UNINA-9910452017703321
Statistics Panel to Review Productivity  
Washington, : National Academies Press, 1979
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui