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1

Oke, Philip. Data Warehousing: A critical evaluation. London: University ofEast London, 1997.

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2

R, Steckler Allan, and Goodman Robert M, eds. Measurement and evaluation of health education. 3rd ed. Springfield, Ill: C.C. Thomas Publisher, 1995.

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3

Measurement and evaluation of health education. Springfield, Ill., U.S.A: Thomas, 1986.

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4

Measurement and evaluation of health education. 2nd ed. Springfield, Ill., U.S.A: C.C. Thomas, 1989.

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5

Huston, D. Structural sensing, health monitoring, and performance evaluation. Boca Raton, FL: CRC Press, 2011.

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6

Huston, D. Structural sensing, health monitoring, and performance evaluation. Boca Raton: Taylor & Francis, 2010.

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7

Vela, Sandra A. Canadian life and health insurance productivity evaluation using data envelopment analysis. Ottawa: National Library of Canada, 2000.

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8

Structural sensing, health monitoring, and performance evaluation. Boca Raton: Taylor & Francis, 2010.

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9

Oliver, Guy W. 1988 evaluation of Alaska's mental health management information system. [Juneau, Alaska]: Alaska Mental Health Board, 1989.

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10

der, Gaag J. van, Van Rooy Gert, Muñoz Martín Juan, and Schier Christa, eds. Baseline data findings for the Okambilimbili Health Insurance Evaluation Project in Namibia. [Windhoek]: Multi-disciplinary Research Centre, University of Namibia, 2007.

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11

United States. Forest Service. Northern Research Station, ed. FIA national assessment of data quality for forest health indicators. Newtown Square, PA: U.S. Dept. of Agriculture, Forest Service, Northern Research Station, 2009.

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12

service), SpringerLink (Online, ed. Health Care Benchmarking and Performance Evaluation: An Assessment using Data Envelopment Analysis (DEA). Boston, MA: Springer Science+Business Media, LLC, 2008.

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13

Kielmann, Arnfried A. Assessing district health needs, services, and systems: Protocols for rapid data collection and analysis. Nairobi, Kenya: African Medical and Research Foundation, 1991.

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14

Wamai, Gimono. A review of disease-related data in Lugazi town: (Small Towns Water & Sanitation Project). [Kampala, Uganda: s.n., 1994.

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15

Hicks, Jennifer. The potential of claims data to support the measurement of health care quality. Santa Monica, Calif: RAND, 2003.

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16

Auditor, Colorado Office of State. Department of Local Affairs, Colorado Health Data Commission performance audit: Report of the State Auditor. [Denver, Colo.] (Legislative Services Building, 200 East 14th Ave., Denver 80203): State of Colorado, Office of State Auditor, 1992.

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17

Institute of Medicine (U.S.). Roundtable on Translating Genomic-Based Research for Health, ed. Systems for research and evaluation for translating genome-based discoveries for health: Workshop summary. Washington, D.C: National Academies Press, 2009.

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18

Association, Medical Group Management, ed. Data sanity: A quantum leap to unprecedented results. 2nd ed. Englewood, CO: Medical Group Management Association, 2015.

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19

Johnson, Clifford L. National health and nutrition examination survey: Sample design, 2011-2014 : data evaluation and methods research. Hyattsville, Maryland: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Center for Health Statistics, 2014.

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20

Evaluating public and community health programs. San Francisco, CA: Jossey-Bass, 2010.

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21

Harris, Muriel J. Evaluating public and community health programs. San Francisco: Jossey-Bass, 2010.

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22

Institute of Medicine (U.S.). Committee on the Role of Institutional Review Boards in Health Services Research Data Privacy Protection. Protecting data privacy in health services research. Washington, D.C: National Academy Press, 2000.

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23

Arslanian, Christine Lucy. Building a successful health outcomes program: Collecting, analyzing, and using clinical data. Tucson, Ariz: Symphonic Lion Pub., 2001.

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24

Fry, Jason. No Wrong Door eRoom evaluation. Olympia, WA: Washington State Dept. of Social and Health Services, Research and Data Analysis Division, 2003.

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25

Fry, Jason. No Wrong Door eRoom evaluation. Olympia, WA: Washington State Dept. of Social and Health Services, Research and Data Analysis Division, 2003.

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26

White Earth Health Center: Ten year follow-up evaluation. [Rockville, Md.?]: U.S. Dept. of Health and Human Services, Indian Health Service, Office of Public Health Support, Division of Planning, Evaluation, and Research, 2008.

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27

United States. Indian Health Service. Division of Planning, Evaluation, and Research. White Earth Health Center: Ten year follow-up evaluation. [Rockville, Md.?]: U.S. Dept. of Health and Human Services, Indian Health Service, Office of Public Health Support, Division of Planning, Evaluation, and Research, 2008.

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28

Edwards, W. Sherman. Evaluation of 2-week doctor visit reporting in the National Health Interview Survey. Hyattsville, Md: U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control and Prevention, National Center for Health Statistics, 1996.

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29

Abramson, J. H. Survey methods in community medicine: Epidemiological research, programme evaluation, clinical trials. 4th ed. Edinburgh: Churchill Livingstone, 1999.

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30

H, Abramson Z., and Abramson J. H. 1924-, eds. Survey methods in community medicine: Epidemiological research, programme evaluation, clinical trials. 5th ed. Edinburgh: Churchill Livingstone, 1999.

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31

1924-, Abramson J. H., ed. Survey methods in community medicine: Epidemiological studies, programme evaluation, clinical trials. 4th ed. Edinburgh: Churchill Livingstone, 1990.

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32

Curtis, Siân L. An evaluation of the Pakistan DHS Survey based on the reinterview survey. Calverton, Md: Macro International, 1994.

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33

O'Higgins, Kathleen. State care, some children's alternative: An analysis of the data from the returns to the Department of Health, Child Care Division, 1982. Dublin: Economic and Social Research Institute, 1988.

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34

Westoff, Charles F. Dominican Republic experimental study: An evaluation of fertility and child health information. Princeton, N.J: Office of Population Research, Princeton University ; Columbia, Md. : Institute for Resource Development/Macro Systems, Inc., 1990.

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35

Oregon Health & Science University. Child and Adolescent Health Measurement Initiative. Children with special health-care needs in North Dakota: Using data from the national survey of children with special health-care needs : a report for policymakers, advocacy groups and families. Portland, OR: Oregon Health & Science University, Data Resource Center for Child & Adolescent Health, 2008.

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36

Oregon Health & Science University. Child and Adolescent Health Measurement Initiative. Children with special health-care needs in North Dakota: Using data from the national survey of children with special health-care needs : a report for policymakers, advocacy groups and families. Portland, OR: Oregon Health & Science University, Data Resource Center for Child & Adolescent Health, 2008.

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37

A, Rasinski Kenneth, and National Center for Health Statistics (U.S.), eds. Evaluation of data collection frequency and the use of a summary in the National Medical Care Utilization and Expenditure Survey. Hyattsville, Md: Public Health Service, National Center for Health Statistics, 1987.

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38

Epner, Janet E. Gans. Evaluation of data collection and coding for medical conditions in the National Medical Care Utilization and Expenditure Survey. Hyattsville, Md: U.S. Dept. of Health and Human Services, Public Health Service, Centers for Disease Control National Center for Health Statistics, 1988.

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39

Assistance, Colorado Department of Health Care Policy and Financing Office of Medical. HEDIS 2000: Health plan employer data & information set : evaluation of quality of care delivered to Colorado Medicaid clients in 1999. Denver, Colo: Dept. of Health Care Policy and Financing, Office of Medical Assistance, 2000.

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40

Patient-reported outcomes: Measurement, implementation and interpretation. Boca Raton: CRC Press/Taylor & Francis Group, 2014.

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41

Fitness, performance, and health norms. Champaign, IL: Human Kinetics, 2006.

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42

Association, Medical Group Management, ed. Data sanity: A quantum leap to unprecedented results. Englewood: Medical Group Management Association, 2009.

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43

Mon, Donald T., and Michael A. Peth. Health Information and Knowledge: Implications for Data Warehousing and Knowledge Discovery. Springer, 2006.

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44

Sheingold, Steven H., and Anupa U. Bir. Evaluation for Health Policy and Health Care: A Contemporary Data-Driven Approach. SAGE Publications, Incorporated, 2019.

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45

Wyatt, Jeremy C., and Charles P. Friedman. Evaluation Methods in Biomedical Informatics (Health Informatics). Springer, 2005.

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46

A guide to collecting mental health court outcome data. Washington, D.C: Council of State Governments, 2005.

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47

National Committee for Quality Assurance (U.S.). Committee on Performance Measurement., ed. HEDIS 3.0: Health plan employer data & information set. [Washington, DC (2000 L St. N.W., Washington 20036): National Committee for Quality Assurance, 1997.

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48

Marion, Young, Religion and Health Project (Bhutan), Grwa-tshaṅ Lhan-tshogs (Thimphu Bhutan), Bhutan Health Division, and UNICEF Bhutan, eds. Religion and Health Project evaluation: Data analysis and final report. [Bhutan: UNICEF], 1999.

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49

Implementation Monitoring and Process Evaluation. SAGE Publications, Inc, 2015.

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50

Unit, Population Research, ed. Evaluation of the data quality of Sudanese maternal and child health survey. [Tunis?]: Population Research Unit (PRU), League of Arab States, 1996.

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