Abstract
In the broad range WHO interpretation of Quality of Life, albeit made from an individualistic perspective, there are numerous qualitative factors along with some relatively more quantitative ones which are useful in the context of health related quality of life assessment problems. Though item analysis is commonly used in practice for (quantitative) risk assessment, for drawing valid conclusions, statistical reasoning is essential. Quality of life, survival time and quality adjusted life are important (population-based) measures that need to be appraised in light of statistical and health-related undercurrents. This paper addresses some basic statistical issues prevailing in this context.
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Sen, P.K. (2002). Measures of Quality Adjusted Life and Quality of Life Deficiency: Statistical Perspectives. In: Mesbah, M., Cole, B.F., Lee, ML.T. (eds) Statistical Methods for Quality of Life Studies. Springer, Boston, MA. https://doi.org/10.1007/978-1-4757-3625-0_21
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DOI: https://doi.org/10.1007/978-1-4757-3625-0_21
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