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Health technology assessment and Stata: Reviewing the old and coding the new

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  • Michael Crowther

    (Red Door Analytics AB)

Abstract

Health technology assessment (HTA) utilizes a wide variety of statistical methods to evaluate clinical and cost effectiveness of treatments, including survival analysis and meta-analysis. In this presentation, I will brieYy review some of the available features in Stata that have been developed over the years, with a focus towards their use in HTA, and describe some ongoing work to improve their applicability in such settings. This will include Yexible survival modeling with merlin, Markov, semi-Markov and non-Markov multistate modeling with multistate, and eQcient and generalizable individual patient simulation with survsim. Finally, I will introduce some new tools, such as the maic command for conducting matched-adjusted indirect comparisons, and a new preKx command for stmerlin, providing Bayesian Yexible survival models.

Suggested Citation

  • Michael Crowther, "undated". "Health technology assessment and Stata: Reviewing the old and coding the new," Northern European Stata Conference 2023 10, Stata Users Group.
    • Handle: RePEc:boc:neur23:10
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