Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Application of Causal Inference Methods to Improve Treatment of HIV Infection

Application of Causal Inference Methods to Improve Treatment of HIV Infection

Petersen, Maya

Paperback

Medical Reference

ISBN10: 3639066294
ISBN13: 9783639066296
Publisher: Blues Kids Of Amer
Published: Aug 6 2008
Pages: 124
Weight: 0.39
Height: 0.26 Width: 6.00 Depth: 9.00
Language: English
Advances in causal inference have improved the ability of statistical methods to answer practical questions in epidemiology and clinical research. In particular, the counterfactual framework and marginal structural models have provided the basis for practical and theo-retical advances in the statistical estimation of causal parameters. The dissertation focuses on the development and application of statistical methods based on the counterfactual framework. Three methods are presented and each is applied to answer a practical research question. The presentation of each method is aimed at a distinct audience: clinicians, epidemiologists, and statisticians, respectively. The unifying theme is the use of state-of-the-art causal inference methods to answer questions surrounding the treatment of antiretroviral resistant HIV infection. Specific topics include use of point treatment marginal structural models to investigate anti-retroviral salvage strategies, use of history-adjusted marginal structural models to study the effects of non-suppressive anti-retroviral therapy, and application of a new methodology for the esti-mation of direct causal effects to compare antiretroviral regimens.

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