Elizabeth G. Hill

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Statistical tools enable unified analysis of data from multiple global proteomic experiments, producing unbiased estimates of normalization terms despite the missing data problem inherent in these studies. The modeling approach, implementation, and useful visualization tools are demonstrated via a case study of complex biological samples assessed using the(More)
Heterogeneous population densities complicate comparisons of statistical power between hypothesis tests evaluating spatial clusters or clustering of disease. Specifically, the location of a cluster within a heterogeneously distributed population at risk impacts power properties, complicating comparisons of tests, and allowing one to map spatial variations(More)
UNLABELLED We introduce a simple-to-use graphical tool that enables researchers to easily prepare time-of-flight mass spectrometry data for analysis. For ease of use, the graphical executable provides default parameter settings, experimentally determined to work well in most situations. These values, if desired, can be changed by the user. PrepMS is a(More)
Biomarkers for acute kidney injury (AKI) have been used to predict the progression of AKI, but a systematic comparison of the prognostic ability of each biomarker alone or in combination has not been performed. In order to assess this, we measured the concentration of 32 candidate biomarkers in the urine of 95 patients with AKIN stage 1 after cardiac(More)
BACKGROUND Isobaric Tags for Relative and Absolute Quantitation (iTRAQ) [Applied Biosystems] have seen increased application in differential protein expression analysis. To facilitate the growing need to analyze iTRAQ data, especially for cases involving multiple iTRAQ experiments, we have developed a modeling approach, statistical methods, and tools for(More)
Many mass spectrometry-based studies, as well as other biological experiments produce cluster-correlated data. Failure to account for correlation among observations may result in a classification algorithm overfitting the training data and producing overoptimistic estimated error rates and may make subsequent classifications unreliable. Current common(More)
MOTIVATION Highly sensitive and specific screening tools may reduce disease -related mortality by enabling physicians to diagnose diseases in asymptomatic patients or at-risk individuals. Diagnostic tests based on multiple biomarkers may achieve the needed sensitivity and specificity to realize this clinical gain. RESULTS Logic regression, a multivariable(More)
Breast cancer patients who are HER2-positive receive targeted inhibitors to HER2, including trastuzumab and lapatinib. While patients benefit from the use of HER2 inhibitors, many fail therapy and almost all patients become resistant to treatment, indicating a critical need to prevent treatment failure. Several recent studies indicate that activation of(More)
  • S Natasha Beretvas, John L, Elizabeth G Hill, Edited Book, Harring, J R Stapleton +12 others
  • 2016
(2015). (Eds.) Advances in multilevel modeling for educational research: Addressing practical issues found in real-world applications. effects models for assessing rater severity and differential rater functioning. (Eds.) Multilevel modeling for educational research: Addressing practical issues found in real-world applications. (2015). An introduction to(More)