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Concordance probability in censored ...

Zhang, Yilong.

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Concordance probability in censored survival model and statistical methods for longitudinal microbiome data.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Concordance probability in censored survival model and statistical methods for longitudinal microbiome data./
作者:	Zhang, Yilong.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
面頁冊數:	121 p.
附註:	Source: Dissertation Abstracts International, Volume: 78-05(E), Section: B.
Contained By:	Dissertation Abstracts International78-05B(E).
標題:	Biostatistics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10189961
ISBN:	9781369332360

Concordance probability in censored survival model and statistical methods for longitudinal microbiome data.
Zhang, Yilong.

Concordance probability in censored survival model and statistical methods for longitudinal microbiome data. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 121 p.

Source: Dissertation Abstracts International, Volume: 78-05(E), Section: B.

Thesis (Ph.D.)--New York University, 2016.

The thesis includes two parts. In the first part, we investigate statistical methods for concordance probability in the censored survival model. Many early stage cancers have non-ignorable latent cure fractions that can be accounted for using transformation cure models. However, how to evaluate prognostic utility of biomarkers in this context has been an open problem. In chapter one, we plan to investigate the concordance measures for discriminatory accuracy in transformation cure models. The goal of chapter two is to investigate the relationships between concordance probabilities and copula, and provide easy-to-use simulation algorithms to simulate data with desired AUC and concordance probability.

ISBN: 9781369332360Subjects--Topical Terms:

1002712
Biostatistics.

Concordance probability in censored survival model and statistical methods for longitudinal microbiome data.
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500 $a Advisers: Yongzhao Shao; Huilin Li.
502 $a Thesis (Ph.D.)--New York University, 2016.
520 $a The thesis includes two parts. In the first part, we investigate statistical methods for concordance probability in the censored survival model. Many early stage cancers have non-ignorable latent cure fractions that can be accounted for using transformation cure models. However, how to evaluate prognostic utility of biomarkers in this context has been an open problem. In chapter one, we plan to investigate the concordance measures for discriminatory accuracy in transformation cure models. The goal of chapter two is to investigate the relationships between concordance probabilities and copula, and provide easy-to-use simulation algorithms to simulate data with desired AUC and concordance probability.
520 $a The EM algorithm has been used extensively for effective inference of the mixture cure models that are useful for survival analysis in populations with a latent cure fraction. However, the complete-data and incomplete-data specifications have not been exposited appropriately in the related literature. In the second part, we develop statistical methods for longitudinal metagenomics data. Human-associated microbial communities have demonstrated a substantial impact on human health and disease. First, microbes compete and cooperate with each other to construct a dynamic system. In chapter 3, we will develop a hypothesis testing framework to evaluate the temporal microbial interaction between two or more groups formally. Second, recent researches have been focused on causally linking the identified differences in the human microbiota with distinct human phenotypes including disease. However, the unique data structure and characteristic of human microbiome data create challenges for the data analysis while combining the mediation analysis and dimension reduction method within the longitudinal study. In chapter 4, we will propose a phylogenetic tree based dimension reduction method to extend the existing longitudinal mediation analysis framework that suit for the longitudinal microbiome data.
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