Browsing FAS Theses and Dissertations by Author "Cai, Tianxi"
Now showing items 1-9 of 9
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Contributions to Imputation Methods Based on Ranks and to Treatment Selection Methods in Personalized Medicine
Matsouaka, Roland Albert (2013-02-14)The chapters of this thesis focus two different issues that arise in clinical trials and propose novel methods to address them. The first issue arises in the analysis of data with non-ignorable missing observations. The ... -
Inference and Prediction for High Dimensional Data via Penalized Regression and Kernel Machine Methods
Minnier, Jessica (2012-08-06)Analysis of high dimensional data often seeks to identify a subset of important features and assess their effects on the outcome. Furthermore, the ultimate goal is often to build a prediction model with these features that ... -
Kernel Machine Methods for Risk Prediction with High Dimensional Data
Sinnott, Jennifer Anne (2012-10-22)Understanding the relationship between genomic markers and complex disease could have a profound impact on medicine, but the large number of potential markers can make it hard to differentiate true biological signal from ... -
Landmark Prediction of Survival
Parast, Layla (2013-02-12)The importance of developing personalized risk prediction estimates has become increasingly evident in recent years. In general, patient populations may be heterogenous and represent a mixture of different unknown subtypes ... -
Ordinal Outcome Prediction and Treatment Selection in Personalized Medicine
Shen, Yuanyuan (2015-05-06)In personalized medicine, two important tasks are predicting disease risk and selecting appropriate treatments for individuals based on their baseline information. The dissertation focuses on providing improved risk ... -
Robust Approaches to Marker Identification and Evaluation for Risk Assessment
Dai, Wei (2013-10-14)Assessment of risk has been a key element in efforts to identify factors associated with disease, to assess potential targets of therapy and enhance disease prevention and treatment. Considerable work has been done to ... -
Robust Semi-Parametric Inference in Semi-Supervised Settings
Chakrabortty, Abhishek (2016-05-17)In this dissertation, we consider semi-parametric estimation problems under semi-supervised (SS) settings, wherein the available data consists of a small or moderate sized labeled data (L), and a much larger unlabeled data ... -
Statistical Methods for Multivariate and Complex Phenotypes
Agniel, Denis Madison (2014-10-21)Many important scientific questions can not be studied properly using a single measurement as a response. For example, many phenotypes of interest in recent clinical research may be difficult to characterize due to their ... -
Three Aspects of Biostatistical Learning Theory
Neykov, Matey (2015-05-15)In the present dissertation we consider three classical problems in biostatistics and statistical learning - classification, variable selection and statistical inference. Chapter 2 is dedicated to multi-class classification. ...