Statistical Analyses and Reproducible Research

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CRITICAL ASSESSMENT OF AUTOMATED FLOW CYTOMETRY DATA ANALYSIS TECHNIQUES (2013, methodology): “To promote reproducible research 35 , the detailed methodologies for all approaches participating in FlowCAP are included by reference to free, open source software packages, algorithms, or through detailed descriptions (as pseudocode) as described in the Supplementary Note 1.”
An empirical analysis of journal policy effectiveness for computational reproducibility (2018, methodology): “We use the term research compendia to refer to the bundle of these three digital scholarly outputs: publication and the associated data and code used to generate the results (2).”
Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible (2013, background): “This example of fully re-producible research can and should be applied to future publication of microbiome analyses [72–74]. same read counts, we would see Poisson variation with a given mean.”
Deriving chemosensitivity from cell lines: Forensic bioinformatics and reproducible research in high-throughput biology (2009, unknown): “Data processing, however, is often not described well enough to allow for exact reproduction of the results, leading to exercises in "forensic bioinformatics" where aspects of raw data and reported results are used to in fer what methods must have been employed.”