Adaptive Trial Designs
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What I learned from my internship at BeiGene?
Curse of dimensionality?
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This is a summary of an interesting chat between the greatest Loyal Data Scientist Chris and me.
Benchmark Dose Analysis
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This is a more of my own summary for the joint work on BMD with my manager, Xiaoyi, at Corteva. We conduct research on statistical analyses of avian reproduction study for risk assessment.
Linear Mixed Effects Model with Presence of High-dimensional Fixed Effects
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Linear mixed effects model (LMM) has been widely used in many fields. As a part of my Ph.D. research, LMM has some fascinating theoretical work that has been done. And as the dimension of available covariates increases nowadays, traditional LMM (p«n) can no longer help solve some problems. For example, when the data is collected from field experiments and design information is available, high-dimensional linear model is clearly incorrect for modeling the relationship between phenotype and omic-features. There is need of developing working and user-friendly algorithm/software for fitting high-dimensional LMM.