How can I understand a continuous by continuous interaction? (Stata 12) How can I understand a categorical by continuous interaction? (Stata 12) What happens if you omit the main effect in a regression model with an interaction? Why don’t my anova and regression results agree? (Stata 11)...
首先说明一下,GBRT这个算法有很多名字,但都是同一个算法:GBRT (Gradient BoostRegression Tree) 渐进梯度回归树,GBDT (Gradient BoostDecision Tree) 渐进梯度决策树,MART (MultipleAdditive Regression Tree) 多决策回归树,Tree Net决策树网络。 GBDT(Gradient Boosting Decision Tree) 又叫 MART(Multiple Additive Regr...
// Regression of body mass index (BMI) on age and region indicatorsregress bmi age i.region// Fit the model for females onlyregress bmi age i.region if female==1// Obtain robust standard errorsregress bmi age i.region, vce(robust)// Include a female indicator and its interaction with ...
拟合值探索 prvalue: Predicted values withconfidence intervalsfor regression modelsprgen: Generate predicted valuesand confidence intervalsfor regression modelsprchange: Discrete and marginalchange for regressionmodels for categorical and count variables *** 4 egen:大大拓展了的功能,用于通过函数来生成...
Endogenous Variable in Interaction, Simulatenous Equations, Use of IV. -Link- How to do an instrumental varialble regression with an instrumented interaction term in Stata. -Link- Multiple endogenous variables - now what?! 陈强.高级计量经济学及 Stata 应用(第二版,第 10 章 P153)北京:高等教育出...
Fit ROC regression models, with covariates Calculate area under the curve Calculate partial area under the curve Obtain sensitivity for a given specificity, and vice versa Test equality of ROC area against a "gold standard" Šidák adjustment for multiple comparisons Easy ROC curve plots ...
Stata常用指令 解释 set more off set virtual on 把虚拟内存打开 di exp(3.567) = display Browse the data tabmiss x1 x2 (findit tabmiss) 显示MV的freq与比例 browse var1 var2 (if ….) Look like editor window, but cannot edit listblck in 1/10, repeat(1) (findit listblck) ...
GFI Information from Interaction Specification of Effect of Children on g(netw10k) from Linear Regression --- Effect of kids = -0.968 + 0.062*Single_man + 1.677*Single_woman Sign Change Analysis of Effect of Children on g(netw10k), Moderated by Headship_Type (MV) --- ...
* Create an interaction between time and treated. We will call this interaction ‘did’ 产生交互项 gen did = time*treated Estimating the DID estimator随后将这三个变量作为解释变量,y作为被解释变量进行回归: reg y time treated did, r 结果为: ...
12. TVCs with interval-censored Cox model 13. Lasso for Cox model 14. RERI 15. IV quantile regression 16. IV fractional probit model 17. Alias variables across frames 18. Data Editor enhancements 19. Do-file Editor enhancements 20. All-new graph style ...