Transcription of Estimation and postestimation commands
{{id}} {{{paragraph}}}
Example: biology
Estimation and postestimation commands
20 Estimation and postestimation Estimation commands work the same prior Estimation Estimation the Estimation the width of confidence the coefficient the variance covariance Obtaining predicted Using Making in-sample Making out-of-sample Obtaining standard errors, tests, and confidence intervals for Accessing estimated Performing hypothesis tests on the Linear Using Likelihood-ratio Nonlinear Wald Obtaining linear combinations of Obtaining nonlinear combinations of Obtaining marginal means, adjusted predictions, and predictive Obtaining estimated marginal Obtaining adjusted Obtaining predictive Obtaining conditional and average marginal Obtaining conditional marginal Obtaining average marginal Obtaining pairwise Obtaining contrasts, tests of interactions, and main Graphing margins, marginal effects, and Dynamic forecasts and Obtaining robust variance Interpreting standard Correlated errors: cluster robust standard Obtaining Weighted Frequency Analytic Sampling Importance A list of postestimation References12 [ U ] 20 Estimation and postestimation All Estimation commands work the same wayAll Stata commands
10. You can use the postestimation command predict to obtain predictions, residuals, influence statistics, and the like, either for the data on which you just estimated or for some other data. You can use postestimation command predictnl to obtain point estimates, standard errors, etc., for customized predictions. See[R] predict and[R ...
Loading..
Tags:
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: