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With the emergence of biomedical big data,
apply machine learning methods to predict, as well as develop statistical inference, for complex data type such as competing risks of cancer versus non-cancer mortality, in the presence of high dimensional covariates.
causal inference methodology using propensity scores, instrumental variables, principal stratification, mediation or path specific analysis, for complex data type such as in the above, or for rare events in pregnancy safety data.
With the emergence of biomedical big data,
apply machine learning methods to predict, as well as develop statistical inference, for complex data type such as competing risks of cancer versus non-cancer mortality, in the presence of high dimensional covariates.
causal inference methodology using propensity scores, instrumental variables, principal stratification, mediation or path specific analysis, for complex data type such as in the above, or for rare events in pregnancy safety data.
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论文共 25 篇作者统计合作学者相似作者
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Austin Haynesworth, Kuan-Hung Yeh, Han Hee Lee, Melissa Kirkpatrick,Brigid S. Boland,Gaurav Syal,Ronghui Xu,Siddharth Singh
CRAN Contributed Packages (2023)
CRAN Contributed Packages (2021)
ALCOHOLISM-CLINICAL AND EXPERIMENTAL RESEARCHno. SUPnan (2018): 274A-274A
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BIRTH DEFECTS RESEARCH PART A-CLINICAL AND MOLECULAR TERATOLOGYno. 5 (2015): 412.0-412.0
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BIRTH DEFECTS RESEARCH PART A-CLINICAL AND MOLECULAR TERATOLOGYno. SP5 (2012): 368-368
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作者统计
#Papers: 25
#Citation: 1109
H-Index: 12
G-Index: 16
Sociability: 4
Diversity: 2
Activity: 1
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