Frequently Asked Questions
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simple linear regression example stata
81.
How to calculate power using simulation How can I use Monte Carlo simulations to estimate power in Stata?
82.
Methods for obtaining marginal effects What is the difference between the linear and nonlinear methods that mfx uses?
83.
Missing standard errors reported by stcox Why does stcox sometimes produce missing standard errors?
84.
Standard errors, confidence intervals, and significance tests for ORs, HRs, IRRs, and RRRs How are the standard errors and confidence intervals computed for relative-risk ratios (RRRs) by
mlogit?
85.
predict() option unsuitable for marginal effects When I run mfx, I am getting the error message “predict() option unsuitable for marginal
effects”. What does that mean?
86.
Obtaining elasticities for independent variables When I use the eyex option of margins, what is it actually computing and how does it relate to the
coefficients of the loglinear model?
87.
Cox regression results in Stata versus SAS Why do the results for cox and stcox not match SAS PHREG?
88.
Stata 6: Estimating a Cox model with a continuously time-varying parameter Stata 6: How do I estimate a Cox model with a continuously time-varying parameter?
89.
Calculating variables containing weighted group summary statistics I want to calculate a variable containing weighted group summary statistics, but I do not want to
collapse the data and egen does not support weights. How can I do this?
90.
Chi-squared test for models estimated with robust standard errors How do the ML estimation commands (e.g., logit and probit) compute the model chi-squared test when
they estimate robust standard errors on clustered data?
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