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期刊名:Journal of open source software

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e-ISSN:2475-9066

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共收录本刊相关文章索引100
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Timothy M Weigand Timothy M Weigand
The Porous Media Morphology and Topology Toolkit (PMMoTo) is a software tool designed to help researchers analyze and understand porous structures and how their features influence behavior at larger scales. A porous medium is any solid mate...
Jiangmei Xiong,Sarah C Lotspeich,Joey B Sherrill et al. Jiangmei Xiong et al.
Data with measurement error in the outcome, covariates, or both are not uncommon, particularly with the increased use of routinely collected data for biomedical research. With error-prone data, often only a subsample of study data is valida...
Alexander Coulter,Rebecca Lee,Irina Gaynanova Alexander Coulter
Distribution-as-response regression problems are gaining wider attention, especially within biomedical settings where observation-rich patient specific data sets are available, such as feature densities in CT scans (Petersen et al., 2021), ...
Zhiyi Wu,David L Dotson,Irfan Alibay et al. Zhiyi Wu et al.
alchemlyb is an open-source Python software package for the analysis of alchemical free energy calculations, an important method in computational chemistry and biology, most notably in the field of drug discovery (Merz et al., 2010). Its fu...
S Mason Garrison,Michael D Hunter,Xuanyu Lyu et al. S Mason Garrison et al.
Behavior genetics is a field that studies how our genes and environment contribute to differences in behavior and traits among individuals. Traditionally, twin studies have long been a cornerstone of this field, helping researchers understa...
Riccardo Cadei,Naeem Khoshnevis,Kwonsang Lee et al. Riccardo Cadei et al.
In health and social sciences, it is critically important to identify interpretable subgroups of the study population where a treatment has notable heterogeneity in the causal effects with respect to the average treatment effect (ATE). Seve...