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  • Nucleic acid amplification  (1)
  • Solid Waste  (1)
  • Oxford University Press  (2)
  • American Geophysical Union
  • Wiley
  • 1
    Publication Date: 2015-12-13
    Description: We examine the revealed preference theory underlying the welfare analysis of public goods (e.g., environmental quality) by observing the consumption of related commodities. Inspired by Larson (1991) and Ebert (1998) , and extended from Eom and Larson (2006) , an empirical strategy is formulated, consistent with the theory of uniquely deriving use and nonuse values for a change in the public good. We show that the weak complementarity assumption and the Willig condition, the common preference assumptions used to support the revealed preference methods for non-market valuation, may be tested as parameter restrictions. A study of water quality valuation is presented to illustrate the proposed empirical strategy. Results show that the weak complementarity assumption and the Willig condition generally do not hold in the case study, and the consumer surplus derived from the indirect valuation method deviates largely from the exact welfare measures.
    Keywords: H41 - Public Goods, Q26 - Recreational Aspects of Natural Resources, Q51 - Valuation of Environmental Effects, Q53 - Air Pollution ; Water Pollution ; Noise ; Hazardous Waste ; Solid Waste ; Recycling
    Print ISSN: 0002-9092
    Electronic ISSN: 1467-8276
    Topics: Agriculture, Forestry, Horticulture, Fishery, Domestic Science, Nutrition , Economics
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  • 2
    Publication Date: 2012-06-06
    Description: One of the benefits of Digital PCR (dPCR) is the potential for unparalleled precision enabling smaller fold change measurements. An example of an assessment that could benefit from such improved precision is the measurement of tumour-associated copy number variation (CNV) in the cell free DNA (cfDNA) fraction of patient blood plasma. To investigate the potential precision of dPCR and compare it with the established technique of quantitative PCR (qPCR), we used breast cancer cell lines to investigate HER2 gene amplification and modelled a range of different CNVs. We showed that, with equal experimental replication, dPCR could measure a smaller CNV than qPCR. As dPCR precision is directly dependent upon both the number of replicate measurements and the template concentration, we also developed a method to assist the design of dPCR experiments for measuring CNV. Using an existing model (based on Poisson and binomial distributions) to derive an expression for the variance inherent in dPCR, we produced a power calculation to define the experimental size required to reliably detect a given fold change at a given template concentration. This work will facilitate any future translation of dPCR to key diagnostic applications, such as cancer diagnostics and analysis of cfDNA.
    Keywords: Nucleic acid amplification
    Print ISSN: 0305-1048
    Electronic ISSN: 1362-4962
    Topics: Biology
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