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关 键 词：stata正版软件百科
行 业：IT 软件 教学管理软件
发布时间：2024-04-19
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Bayesian autoregressive models and more. Extensive Bayesian inference is available after estimation, including Markov chain Monte Carlo (MCMC) diagnostics, posterior summaries of linear and nonlinear functions of parameters, interval hypothesis testing, and model comparison using Bayes factors; see [BAYES] Bayesian postestimation for a full list of features.
Your lasso for prediction, model selection, or inference can now select variables while accounting for clustering.
The new meta suite is broad, but what sets it apart is its simplicity. You can type, for instance, . meta set effectsize stderr to declare precomputed effect sizes or use meta esize to compute effects from summary data. With this, you can perform random-effects, fixed-effects, or common-effect meta-analysis. To estimate an overall effect size and its confidence interval, obtain heterogeneity statistics, and more, you simply type . meta summarize And visualizing the results is as easy as typing . meta forestplot But the meta suite provides much more. Meta-regression and subgroup analysis allow you to evaluate the heterogeneity of studies. These are available via meta regress and meta forestplot, subgroup() or meta summarize, subgroup(). You can investigate potential publication bias. Check visually for funnel-plot asymmetry using meta funnelplot; formally test for funnel-plot asymmetry using meta bias; and assess publication bias using the trim-and-fill method with meta trimfill. You can even perform cumulative meta-analysis with meta summarize, cumulative(). All the meta-analysis features are documented in the new Meta-analysis Reference Manual.
How can the updated table command and new etable command do all that? They are built on top of a whole new system for collecting stored results from commands and displaying those results as tables. Stata 17 gives you access to that system too.
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