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Computation of adherence to medication and visualization of medication histor...
Adherence to medications is an important indicator of the quality of medication management and impacts on health outcomes and cost-effectiveness of healthcare delivery.... -
The PLOS ONE collection on machine learning in health and biomedicine: Toward...
Recent years have seen a surge of studies in machine learning in health and biomedicine, driven by digitalization of healthcare environments and increasingly accessible computer... -
Reproducibility of individual effect sizes in meta-analyses in psychology
To determine the reproducibility of psychological meta-analyses, we investigated whether we could reproduce 500 primary study effect sizes drawn from 33 published meta-analyses... -
Scientific productivity: An exploratory study of metrics and incentives.
Competitive pressure to maximize the current bibliometric measures of productivity is jeopardizing the integrity of the scientific literature. Efforts are underway to address... -
The Researchers’ View of Scientific Rigor—Survey on the Conduct and Reporting...
Reproducibility in animal research is alarmingly low, and a lack of scientific rigor has been proposed as a major cause. Systematic reviews found low reporting rates of measures... -
Statistical Reporting Errors and Collaboration on Statistical Analyses in Psy...
Statistical analysis is error prone. A best practice for researchers using statistics would therefore be to share data among co-authors, allowing double-checking of executed... -
Data sharing in PLOS ONE: An analysis of Data Availability Statements
A number of publishers and funders, including PLOS, have recently adopted policies requiring researchers to share the data underlying their results and publications. Such... -
Enhancing reproducibility in scientific computing: Metrics and registry for S...
Here we present Singularity Hub, a framework to build and deploy Singularity containers for mobility of compute, and the singularity-python software with novel metrics for... -
Assessing the impact of introductory programming workshops on the computation...
AbstractIntroductionAs biomedical research becomes more data-intensive, computational reproducibility is a growing area of importance. Unfortunately, many biomedical researchers... -
An attempt to reproduce a previous meta-analysis and a new analysis regarding...
: Directly observed therapy (DOT) is almost universally used for the treatment of TB. Several meta-analyses using different methods have assessed the effectiveness of DOT... -
A simple model suggesting economically rational sample-size choice drives irr...
Several systematic studies have suggested that a large fraction of published research is not reproducible. One probable reason for low reproducibility is insufficient sample... -
Conditional equivalence testing: An alternative remedy for publication bias
We introduce a publication policy that incorporates conditional equivalence testing (CET), a two-stage testing scheme in which standard NHST is followed conditionally by testing... -
Quality science from quality measurement: The role of measurement type with r...
The quality of psychological studies is currently a major concern. The Many Labs Project (MLP) and the Open-Science-Collaboration (OSC) have collected key data on replicability... -
Journal data policies: Exploring how the understanding of editors and authors...
Despite the increase in the number of journals issuing data policies requiring authors to make data underlying reporting findings publicly available, authors do not always do... -
Scientific discovery in a model-centric framework: Reproducibility, innovatio...
Consistent confirmations obtained independently of each other lend credibility to a scientific result. We refer to results satisfying this consistency as reproducible and assume... -
Prediction Interval: What to Expect When You’re Expecting … A Replication
A challenge when interpreting replications is determining whether the results of a replication “successfully” replicate the original study. Looking for consistency between two... -
A Bayesian Perspective on the Reproducibility Project: Psychology
We revisit the results of the recent Reproducibility Project: Psychology by the Open Science Collaboration. We compute Bayes factors-a quantity that can be used to express...