output
20142020
most citedAlternative Analysis Methods for Time to Event Endpoints under Non-proportional Hazards: A Comparative Analysis

112 citations

7 papers

eess.IV2020★ 9 cited

Kidney segmentation using 3D U-Net localized with Expectation Maximization

Omid Bazgir, Kai Barck, Richard A. D. Carano +2

Kidney volume is greatly affected in several renal diseases. Precise and automatic segmentation of the kidney can help determine kidney size and evaluate renal function. Fully conv…

stat.AP2019★ 112 cited

Alternative Analysis Methods for Time to Event Endpoints under Non-proportional Hazards: A Comparative Analysis

Ray S. Lin, Ji Lin, Satrajit Roychoudhury +16

The log-rank test is most powerful under proportional hazards (PH). In practice, non-PH patterns are often observed in clinical trials, such as in immuno-oncology; therefore, alter…

stat.ME2019★ 13 cited

Survival Forests under Test: Impact of the Proportional Hazards Assumption on Prognostic and Predictive Forests for ALS Survival

Natalia Korepanova, Heidi Seibold, Verena Steffen +1

We investigate the effect of the proportional hazards assumption on prognostic and predictive models of the survival time of patients suffering from amyotrophic lateral sclerosis (…

stat.CO2017★ 6 cited

trackr: A Framework for Enhancing Discoverability and Reproducibility of Data Visualizations and Other Artifacts in R

Gabriel Becker, Sara E. Moore, Michael Lawrence

Research is an incremental, iterative process, with new results relying and building upon previous ones. Scientists need to find, retrieve, understand, and verify results in order…

cs.CE2015★ 78 cited

A Critical Survey of Deconvolution Methods for Separating cell-types in Complex Tissues

Shahin Mohammadi, Neta Zuckerman, Andrea Goldsmith +1

Identifying concentrations of components from an observed mixture is a fundamental problem in signal processing. It has diverse applications in fields ranging from hyperspectral im…

q-bio.GN2014★ 13 cited

Scalable Genomics with R and Bioconductor

Michael Lawrence, Martin Morgan

This paper reviews strategies for solving problems encountered when analyzing large genomic data sets and describes the implementation of those strategies in R by packages from the…