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As far as we know, this is the first study to use robust modeling techniques for model generation, followed by external validation to generate and validate symptom-based predictive models of endometriosis in a large prospectively recruited cohort of women across different countries and ethnicities.
Hsu's research involves using neuroscientific and computational tools to understand the biological basis of economic and consumer decision-making, as well as how brain-based methods can be used to generate and validate insights into customers' thoughts, feelings, and behavior.
Prof. Hsu's research involves using neuroscientific and computational tools to understanding economic and consumer decision-making, and how brain-based methods can be used to generate and validate insights into people's thoughts, feelings, and behavior.
To generate and validate a scale to measure the Informed Choice of contraceptive methods among women attending a family health care service in Chile.
The UC Davis/NIH NeuroMab Facility was created with the mission of addressing the unmet need for high-quality Abs in neuroscience research by applying a unique approach to generate and validate mouse monoclonal antibodies (mAbs) optimized for use against mammalian brain (i.e., NeuroMabs).
To evaluate models predictability, data is split into training and test set to generate and validate stepwise estimation model by sequentially feeding ranked variables.
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In order to properly generate and validate such mathematical models, it will be critical to obtain quantitative data on the kinetics and dynamics of the catalytic and binding processes that are involved.
The overreaching goal of this research is to generate and fully validate a detailed chemical kinetic mechanism, with as few fitted rates as possible, that can be applied to premixed or diffusion systems, and used with any type of soot model.
We have combined these three datasets to generate and independently validate genomic correlates of anticancer drug response.
The aim of this study was to generate and internally validate a nomogram to predict survival in patients with nonresectable pancreatic cancer receiving gemcitabine-based chemotherapy.
This paper designs and implements an efficient and scalable literature-mining framework to generate and also validate plausible hypotheses about various entities that include (but not limited to): risk factors, environmental factors, lifestyle, diseases, and disease groups.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com