5 citations · 9 across the 3 of their papers we have counts for
3 papers
Measuring covariate balance in weighted propensity score analyses by the weighted z-difference
Tim Filla, Holger Schwender, Oliver Kuß
Propensity score (PS) methods have been increasingly used in recent years when assessing treatment effects in nonrandomized studies. In terms of statistical methods, a number of ne…
Confound-leakage: Confound Removal in Machine Learning Leads to Leakage
Sami Hamdan, Bradley C. Love, Georg G. von Polier +4
Machine learning (ML) approaches to data analysis are now widely adopted in many fields including epidemiology and medicine. To apply these approaches, confounds must first be remo…
Hierarchical clustering of DNA k-mer counts in RNA-seq fastq files reveals batch effects
Wolfgang Kaisers, Holger Schwender, Heiner Schaal
Batch effects, artificial sources of variation due to experimental design, are a widespread phenomenon in high throughput data. Therefore, mechanisms for detection of batch effects…