Topics for Assignment 1

Topics for Assignment 1

Topic assignments: Next to your name, you will find a general topic in the area of statistics you noted as that of interest to you chosen from Biostatistics (BST), Biomathematics (BMA), Bioinformatics (BIO), Environmental Statistics (ENV), Industrial Statistics (IND), Mathematical Statistics (MST), or Statistical Genetics (STG); if you did not give a particular area, you were assigned a topic from one of these areas at random. This topic should be the basis for your work completing Assignment 1.

You may use any resources you like in researching your topic. You are welcome to consult with others for insight and suggested approaches, but identification of the 10 papers, tracing the influence of a paper and choice of this paper, and all writing should be your own, individual work. Please see me if you have any questions!

Student Topic (Area)
Ahn Deterministic mathematical and statistical modeling of within-host HIV dynamics (BST/BMA)
Cho Tests of association and linkage in family studies (STG)
Demirhan Models for survival data with cure rate (BST)
Duarte Bayesian networks for analysis of microarray expression data (BIO/STG)
Gao, L On-line quality control (IND)
Gao, X Methods for quantitative trait loci (QTL) mapping (STG)
Gong Identification of protein-coding gene regions using hidden Markov models (BIO/STG)
Hamilton Chaos in population dynamics (BMA)
Jiang, H Survival analysis with correlated data (BST)
Jiang, L Semiparametric transformation models for analysis of censored survival data (BST)
Krishna Joint modeling of longitudinal and time-to-event (survival) data (BST)
Li Nonstationary covariance models for spatial analysis (ENV)
Lu Use of the propensity score for estimating causal treatment effects in observational studies (BST)
Ni Analysis of interval-censored survival data (BST)
Ouyang Null models of biodiversity (BMA)
Park Hierarchical Bayesian models for spatial data (ENV)
Ruan Robust design of industrial experiments (IND)
Tang Multiple imputation methods for analysis of missing data (BST)
Wang Analysis of longitudinal binary data using generalized estimating equations (BST)
Yang Regression models for the analysis of current status data
Yu, M Evaluation of diagnostic tests and Receiver Operating Characteristic (ROC) curves (BST)
Yu, Q Design and analysis of phase I clinical trials (BST)
Zhang, M (3) Modeling of financial derivatives (MST)
Zhang, M (4) Analysis of longitudinal data in the presence of informative (nonignorable) dropout (BST)
Zhang, Y Analysis of dispersion effects (IND)
Zhu Methods for the design and analysis of group sequential clinical trials (BST/IND)