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www.rdatagen.net | ||
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kgoldfeld.github.io
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| | | | | Simulates data sets in order to explore modeling techniques or better understand data generating processes. The user specifies a set of relationships between covariates, and generates data based on these specifications. The final data sets can represent data from randomized control trials, repeated measure (longitudinal) designs, and cluster randomized trials. Missingness can be generated using various mechanisms (MCAR, MAR, NMAR). | |
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aosmith.rbind.io
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| | | | | Where I discuss simulations, why I love them, and get started on a simulation series with a simple two-group linear model simulation. | |
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www.robertkubinec.com
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| | | | | Ordered beta regression can give you comparable, scale-free ATEs that can still be understood in the scale of the original data-all without using logs. | |
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www.shatterproof.org
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| | | Alcohol withdrawal after surgery is a serious but preventable risk. Research makes it clear - honest conversations, proactive screening and access to support can protect patients and save lives. And when we talk openly about alcohol use and withdrawal without stigma, we make it easier for people to get the care they need. | ||
