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Modelling in health economics is often quantitative advocacy rather than pure science. It uses data and statistical techniques to support specific arguments or policy decisions. The results, shaped by assumptions and choices, aim to persuade rather than uncover truths through hypothesis testing.
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Modelling in health economics is often quantitative advocacy rather than pure science. It uses data and statistical techniques to support specific arguments or policy decisions. The results, shaped by assumptions and choices, aim to persuade rather than uncover truths through hypothesis testing.
This is not a bad thing.
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