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Sex biased costs could cause imprinting in ways parallel to those noted in the "helping" section.
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In the present paper we also considered the most recent methodological developments with respect to the inclusion of productivity costs in economic evaluation to avoid a biased cost-effectiveness ratio [34], [35].
11 Indeed, the adoption of generic rather than disease-specific measures in this context may lead to the underestimation of treatment benefits, biased cost-effectiveness results and ill-informed policy decisions.
Indeed, our findings can be added to those of existing studies which explore how the adoption of generic rather than disease-specific measures in this context may lead to the underestimation of treatment benefits, biased cost-effectiveness results and ill-informed policy decisions.
Using 2012 price unit instead of the current up to date price might have biased the cost-saving impact of the BCBV indicator as the current prices, especially those of ARBs, might have been lowered following the increasing availability of ARBs as generics as well as potentially lowering prices of existing generic ARBs.
Signing the bill, Maryland's Governor O'Malley said the death penalty does not deter crime, cannot be administered without racial bias, costs three times as much as life without parole, and a mistake cannot be reversed if an innocent person is put to death.
A lack of diabetes diagnosis may also bias costs related to disability pensions and sick leave, physician visits, outpatient clinic visits and certain other types of services where the costing is based on diagnosis.
Although I posit an adjustment for this assumption in the final sections of this article, this restriction downwardly biases the costs estimates, inflating the return on investment.
Therefore this approach is known to downward-bias cost estimates [ 27].
Omission of costs of informal care would bias cost-effectiveness against formal care in favor of informal care which seems to be free of charge [ 56].
The main weaknesses of sequencing strategies are library bias, cost, availability, and difficulties in data management and analysis, although the cost of massive sequencing technologies is rapidly decreasing.
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