Browsing Biostatistics by Author "Heagerty, Patrick J"
Now showing items 1-6 of 6
-
A computational pipeline for identifying copy number variation from single nucleotide polymorphism data and applications to congenital heart disease
Kim, Daniel SeungCopy number variants (CNVs) are duplications or deletions of regions of the genome. CNVs, similar to single nucleotide variants (SNVs), range in frequency and severity in their effects on human disease. Despite the likely ... -
A Simulation Study of Statistical Approaches to Data Analysis in the Stepped Wedge Design
Ren, YuqiThis paper studies model-based and permutation-based approaches to analyze data in the stepped wedge design under 9 scenarios. We compare robustness, efficiency, Type I error rate under null conditions, and power under ... -
Analysis of biased sampling designs using longitudinal data
Zelnick, Leila RuthWith increasing availability of prospective cohort studies, registry data, and electronic health records, numerous secondary investigations are being conducted using data that were originally collected for a different ... -
Methodology for Examining Differential Rates of Change for Longitudinal Data
Bryan, Matthew (2013-04-17)A common objective for longitudinal studies is to characterize differences in the rate of growth, or rate of change of an outcome across covariate-defined groups. The statistical challenges and potential extensions of ... -
Methods for describing the time-varying predictive performance of survival models
Liang, Chao-Kang JasonIn this dissertation we develop new methods for quantifying the predictive performance of a survival model at different times. We broadly categorize predictive performance into either calibration or discrimination, and ... -
Sampling designs for resource efficient collection of outcome labels for machine-learning, with application to electronic medical records
Tan, Wei Ling KatherineIn leveraging data from large-scale electronic medical record systems for research, an important step is the accurate identification of key clinical outcomes. Some outcomes must be derived or predicted from both structured ...