Statistical Methods and Data Analytics
This workshop introduces the functionality of Stata with a focus on data analysis for scientific research. We will discuss the basic Stata interface and do-files, as well as explore commands to import data, create and modify variables, summarize variables, combine data sets and perform basic statistical analyses. No experience with Stata is assumed. The workshop...
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While machine learning methods have traditionally been used for prediction in fields like industry and technology, they are increasingly being adopted in scientific research for exploration and inference. This two-part workshop introduces key machine learning techniques used for scientific applications. Part 1 discusses core concepts such as prediction accuracy, the bias-variance tradeoff, and cross-validation. Part...
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While machine learning methods have traditionally been used for prediction in fields like industry and technology, they are increasingly being adopted in scientific research for exploration and inference. This two-part workshop introduces key machine learning techniques used for scientific applications. Part 1 discusses core concepts such as prediction accuracy, the bias-variance tradeoff, and cross-validation. Part...
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This workshop will show how descriptive analyses, both numerical and graphical, can be done with continuous and categorical variables. Subpopulation analysis will be discussed, and then examples of OLS regression and logistic regression will be considered. The workshop notes will be posted soon. Register here: https://ucla.zoom.us/meeting/register/IJ-3bjGqS5i6CANjV4fcbg#/registration