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- Adaptive (1)
- Age-at-onset penetrance (1)
- Breast cancer tissue (1)
- Coding region enrichment (1)
- Familywise likelihood (1)
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- Formalin-fixation and paraffin-embedding tissue (1)
- Gene expression (1)
- Intervention (1)
- Joint model (1)
- Li-Fraumeni syndrome (1)
- Library preparation (1)
- Multiple primary cancers (1)
- Optimal (1)
- Q-learning (1)
- RNA sequencing (1)
- Randomization (1)
- Recurrent event model (1)
- SMART (1)
- Time-varying SMART (1)
Articles 1 - 2 of 2
Full-Text Articles in Statistical Models
Statistical Methods For Two Problems In Cancer Research: Analysis Of Rna-Seq Data From Archival Samples And Characterization Of Onset Of Multiple Primary Cancers, Jialu Li
Dissertations & Theses (Open Access)
My dissertation is focused on quantitative methodology development and application for two important topics in translational and clinical cancer research.
The first topic was motivated by the challenge of applying transcriptome sequencing (RNA-seq) to formalin-fixation and paraffin-embedding (FFPE) tumor samples for reliable diagnostic development. We designed a biospecimen study to directly compare gene expression results from different protocols to prepare libraries for RNA-seq from human breast cancer tissues, with randomization to fresh-frozen (FF) or FFPE conditions. To comprehensively evaluate the FFPE RNA-seq data quality for expression profiling, we developed multiple computational methods for assessment, such as the uniformity and continuity …
Further Advances For The Sequential Multiple Assignment Randomized Trial (Smart), Tianjiao Dai
Further Advances For The Sequential Multiple Assignment Randomized Trial (Smart), Tianjiao Dai
Dissertations & Theses (Open Access)
ABSTRACT
FURTHER ADVANCES FOR THE SEQUENTIAL MULTIPLE ASSIGNMENT RANDOMIZED TRIAL (SMART)
Tianjiao Dai, M.S.
Advisory Professor: Sanjay Shete, Ph.D.
Sequential multiple assignment randomized trial (SMART) designs have been developed these years for studying adaptive interventions. In my Ph.D. study, I mainly investigate how to further improve SMART designs and optimize the interventions for each individual in the trial. My dissertation has focused on two topics of SMART designs.
1) Developing a novel SMART design that can reduce the cost and side effects associated with the interventions and proposing the corresponding analytic methods. I have developed a time-varying SMART design in …