DOI: 10.1016/s0194-3960(01)14008-4
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Estimating the social and economic benefits of pharmaceutical innovation: modeling clinical trial results in hiv disease

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Cited by 6 publications
(2 citation statements)
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“…As data and knowledge about HIV-treatment effects increased, it became clear that more complex approaches were needed [7], and a 'second-generation' group of models were developed [13][14][15][16]. A Markov model structure is used in all of these second-generation models, with 5-13 health states specified by CD4 cell count and viral load combinations and death.…”
Section: Recent Findingsmentioning
confidence: 99%
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“…As data and knowledge about HIV-treatment effects increased, it became clear that more complex approaches were needed [7], and a 'second-generation' group of models were developed [13][14][15][16]. A Markov model structure is used in all of these second-generation models, with 5-13 health states specified by CD4 cell count and viral load combinations and death.…”
Section: Recent Findingsmentioning
confidence: 99%
“…This simplification process was performed in rather similar ways for the early HIV-economic models when our understanding of HIV disease was limited, there were few effective treatments, and life expectancy was relatively low [2]. Thus, most of the early models, although different, were based on a very similar structure with three to five health states defined by CD4 cell count, AIDS status and death [9-12].As data and knowledge about HIV-treatment effects increased, it became clear that more complex approaches were needed [7], and a 'second-generation' group of models were developed [13][14][15][16]. A Markov model structure is used in all of these second-generation models, with 5-13 health states specified by CD4 cell count and viral load combinations and death.…”
mentioning
confidence: 99%