Titlebook: New Advances in Statistics and Data Science; Ding-Geng Chen,Zhezhen Jin,Yichuan Zhao Book 2017 The Editor(s) (if applicable) and The Autho

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Meta-Analysis for Rare Events As Binary Outcomes, or to update the estimates of treatment effects by further including recent relevant clinical studies to date. It is not uncommon that some outcomes are rare events, in particular for safety assessments. There are methodological challenges to perform meta-analyses for rare events, especially for t

Brain-Imaging

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Tuning Parameter Selection in the LASSO with Unspecified Propensitylthough it attracts numerous attentions in both theory and computation, we still encounter many difficulties in real applications. For instance, in a real data set, we may have various missing values. To correctly adopt the LASSO, we have to incorporate the missing data mechanism, or the propensity,

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Estimating Parameters in Complex Systems with Functional Outputs: A Wavelet-Based Approximate Bayesinderlying parameters cannot be explicitly specified using a likelihood function. These situations often occur when functional data arises from a complex system and only numerical simulations (through a simulator) can be used to describe the underlying data-generating mechanism. To estimate the unkno

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A Maximum Likelihood Approach for Non-invasive Cancer Diagnosis Using Methylation Profiling of Cell-in many CpG sites or CpG-rich regions, and DNA from tumor cells can be released into the circulating blood. Thus, the tumor-derived cell-free DNA can be detected in the patient’s blood and, therefore, it is possible to use the methylation data of the blood samples for cancer diagnosis. We design a m

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