{"id":9531,"date":"2025-03-27T09:16:15","date_gmt":"2025-03-27T08:16:15","guid":{"rendered":"https:\/\/dpc-software.de\/?p=9531"},"modified":"2025-03-27T09:16:15","modified_gmt":"2025-03-27T08:16:15","slug":"statanow-update-february-2025","status":"publish","type":"post","link":"https:\/\/dpc-software.de\/en\/statanow-update-february-2025\/","title":{"rendered":"StataNow Update February 2025"},"content":{"rendered":"

StataNow adds more new features with a 26 February update.
\n<\/strong>
\n<\/strong>Machine learning via H2O<\/strong><\/a>
\nWith the new\u00a0h2oml<\/strong>\u00a0suite, you can use machine learning via H2O to uncover insights from data when traditional statistical models fall short. Use ensemble decision trees\u2014gradient boosting machine (GBM) or random forest\u2014to perform classification or regression. Tune hyperparameters, use validation or cross-validation (CV), evaluate model performance, explain predictions, and more.<\/p>\n

Cluster-robust standard errors for interval censored multiple event Cox model<\/strong><\/a>
\nNeed to analyze event times from multiple types of events such as the onset of diabetes and hypertension? Don\u2019t know the exact event times? Use the new\u00a0stmgintcox<\/strong>\u00a0command to analyze such interval-censored multiple-event data and account for possible correlation between event times across the different events. Evaluate the proportional-hazards assumption. Perform a powerful test for a common covariate effect across all events. Graph covariate-specific survivor, hazard, and other functions. And more!<\/p>\n

Enhancement for listing data: relative observation numbers<\/strong><\/a>
\nThe\u00a0list<\/strong><\/a>\u00a0command has three new options:<\/p>\n

    \n
  1. sepbyexp(<\/strong>exp<\/em>)<\/strong>draws a separator line whenever the value of expression\u00a0exp<\/em>\u00a0exp<\/em>\u00a0does not necessarily have to refer to the variables in the dataset;<\/li>\n
  2. footer<\/strong>displays variable names as a footer;<\/li>\n
  3. relative<\/strong>displays relative observation numbers when a subset of observations is listed.<\/li>\n<\/ol>\n

    Enhancements to H2O integration features<\/strong><\/a><\/p>\n

    Additional updates:<\/p>\n