Jiahe (Doris) Li

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Magnuson Health Sciences Center - T Wing
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BS
Applied Mathematics
South China University of Technology
2014-2018
MS
Biostatistics
University of Washington
2018-2020

I am a Biostatistics MS student at University of Washington. My current research interests include statistical genetics, clinical trials and statistical learning. If you have any interests in common, feel free to contact me.

I have started working with Prof. Susanne May since August 2019 and my thesis project is about how to test a new treatment versus standard of care more efficiently in the setting of out-of-hospital cardiac arrest. To be more specific, I am conducting simulations in R to calculate critical values, sample sizes and power for a proposed combined outcome under both null (independency) hypothesis and reasonably strong assumption, comparing univariate outcomes (intermediate outcome and survival), a bivariate outcome with this proposed combined outcome as well as investigating the performances of these four outcomes in different pre-assumed scenarios and discuss the sizes and power.

BS
Applied Mathematics
South China University of Technology
2014-2018
MS
Biostatistics
University of Washington
2018-2020

I am a Biostatistics MS student at University of Washington. My current research interests include statistical genetics, clinical trials and statistical learning. If you have any interests in common, feel free to contact me.

I have started working with Prof. Susanne May since August 2019 and my thesis project is about how to test a new treatment versus standard of care more efficiently in the setting of out-of-hospital cardiac arrest. To be more specific, I am conducting simulations in R to calculate critical values, sample sizes and power for a proposed combined outcome under both null (independency) hypothesis and reasonably strong assumption, comparing univariate outcomes (intermediate outcome and survival), a bivariate outcome with this proposed combined outcome as well as investigating the performances of these four outcomes in different pre-assumed scenarios and discuss the sizes and power.