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  Vol. 280 No. 23, December 16, 1998 TABLE OF CONTENTS
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Cost-effectiveness Analyses of Statistically Ineffective Treatments

Since this article does not have an abstract, we have provided the first 150 words of the full text and any section headings.

To the Editor.—Although the publication of guidelines1 has provided an important contribution to standardizing cost-effectiveness (CE) research, some methodological points still need clarification. In comparing treatment A (innovative treatment) with treatment B (reference treatment), a CE analysis is appropriate when A is more effective, ie, when the difference in clinical effectiveness between A and B is significant.

When the difference in clinical effectiveness is expressed in terms of a significant difference in survival, the CE analysis can be undertaken without difficulty. But when the difference is expressed as the difference between quality-adjusted life-years (QALYs) per patient treated with A minus QALYs per patient treated with B, the problem arises of whether a significant P value continues to be needed for conducting a CE analysis.

When available, primary data of quality-adjusted survival (ie, information on survival length and health-related quality of life collected from individual patients) do not pose any . . . [Full Text of this Article]



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