| Автор | Coyle, Douglas |
| Дата выпуска | 2003 |
| dc.description | The use of probabilistic analysis as a means for analyzing uncertainty within economic analysis has grown in popularity in recent years as it has been recognized as the most complete method for propagating uncertainty with respect to input parameters in terms of uncertainty about outcomes of interest. The World Health Organization (WHO) in a series of recent reports and publications have recognized the role of probabilistic analysis in what they term generalized cost-effectiveness analysis. However, there are fundamental problems with the analysis and the interpretation of such analysis as proposed by WHO. This study highlights three specific points for concern and offers constructive criticism by recommending more appropriate approaches. |
| Издатель | Cambridge University Press |
| Тема | Economic analysis |
| Тема | Uncertainty |
| Тема | Probabilistic analysis |
| Название | WHOʼS BETTER NOT BEST: APPROPRIATE PROBABILISTIC UNCERTAINTY ANALYSIS |
| DOI | 10.1017/S0266462303000485 |
| Electronic ISSN | 1471-6348 |
| Print ISSN | 0266-4623 |
| Журнал | International Journal of Technology Assessment in Health Care |
| Том | 19 |
| Первая страница | 540 |
| Последняя страница | 545 |
| Аффилиация | Coyle Douglas; Ottawa Hospital |
| Выпуск | 3 |
