10:51

Generalized two-parameter (2-parameter) log-gamma regression Use glgamma2 With STATA 18

13:13

Generalised Joint Regression Models With Classic Bivariate Probit Use gjrm In R Software

09:41

Continuation-ratio models for ordinal (probit) responses estimates Use ocratio With STATA 18

19:12

Generalized ridge regression for linear models Use g.ridge With (In) R Software

09:37

Elastic net & lasso & ridge regression Use lassoregress & ridgeregress & elasticregress In STATA 18

13:37

Maximum likelihood multiple instance logistic regression LASSO penalty Use milr In R Software

14:44

Enhanced module algorithm latent class logit expectation maximization lclogit & lclogit2 In STATA 18

19:48

Cumulative Link Models for Ordinal Regression Use clm (ordinal) With (In) R Software

13:38

Dominance analysis (DA) Use domin With STATA 18

25:06

Biomarker discovery using Bayesian models implemented in Stan Use hsstan With (In) R Software

11:57

Check proportional hazards assumption after Cox model restricted cubic splines stphcoxrcs STATA 18

16:03

Train a Logistic Box-Cox model using MaxLik Use lboxcox (lbc_maxlik) With (In) R Software

11:53

Evaluating the validity of linear restrictions on a regression equation Use cnsrsig In STATA 18

13:07

Bayesian generalized linear models Use bayesglm With In R Software

10:02

Penalised logistic regression penalised logistic regression search routine plogit plsearch STATA 18

10:53

Prais-Winsten estimator for AR(1) serial correlation Use prais_winsten (prais) With (In) R Software

13:08

Regression discontinuity designs using inverse propensity score weighting Use rddsga With STATA 18

14:52

Panel corrected standard error estimation Use pcse With (In) R Software

12:23

Multidimensional Regression Discontinuity MDRD Use mdrd With STATA 18

17:04

Regresssion Design Discontinuity parametric nonparametric rdd reg lm rdd reg np rddtools R Software

13:55

Cross validated Area Under Curve ROC Predictive Modelling Binary Outcomes Use cvauroc In STATA 18

11:31

Display and analyze ROC curves Use roc (pROC) With (In) R Software

07:28

Logistic & linear & probit regression probabilities Use logpred & regpred & probpred With STATA 18

12:59

L1 (Lasso & Fused Lasso) & L2 (Ridge) Penalized Estimation GLMs & Cox Model Use penalized R Software

13:11

Random Effects Probit Use rfprobit With STATA 18

16:27

COM Poisson regression models Use cmpreg (cmp) With (In) R Software

12:52

Estimates Dynamic Correlated Random Effects Probit Models Unbalanced Panels xtprobitunbal STATA 18

11:07

Probit Model with Random Effects Use ProbitRE With (In) R Software

19:50

Quantile control method (QCM) via Random Forest Use qcm With STATA 18

13:24

Fitting nonparametric models Use frfast npregfast With In R Software

10:27

Two weak instrument robust confidence linear instrumental variable models twostepweakiv STATA 18

15:48

Two Stage Least Squares Regression Diagnostics Instrumental Variable Regression Use ivreg R Software

13:37

Adjusted summary statistics for logarithmic regressions Use logsumm With STATA 18

17:18

Fixed effects GLM (General Linear Model) estimations Use feglm With (In) R Software

10:28

Robit regression for binary outcomes Use robit With STATA 18

20:09

Binomial regression for censored competing risks data Use binreg With (In) R Software

14:35

Estimation bounds Imperfect Instrumental Variables (Nevo & Rosen, 2012) imperfectiv In STATA 18

15:05

Mixed effects cumulative link and logistic regression models Use npmlt With (In) R Software

15:54

IV estimation under flexible (Conley et al's plausibly exogenous bounds) plausexog With STATA 18

22:53

Ridge multinomial logistic regression Use RidgeMultinomialLogisticRegression With (In) R Software

13:26

High dimensional regressions based cluster robust double debiased machine learning crhdreg STATA 18

13:47

Logistic ridge regression Use logisticRidge With (In) R Software

18:28

Selection variables & specification panel data framework Use xtsel (xtselvar And xtselmod) STATA 18

13:52

Instrumental variable estimation causal exposure effect generalized linear Use ivglm In R Software

12:59

Estimate mixed logit labor supply models Use lslogit With STATA 18

12:31

Fitting beta regression models Use betareg With (In) R Software

08:21

Estimate the linear in means peer effects model with random group effects Use limpe re With STATA 18

16:48

Fits a Robust Generalized Linear Model and Variants Use robmixglm With (In) R Software

14:06

Classification statistics for k fold cross validation binary outcomes Use kfoldclass With STATA 18

14:06

Semi-Parametric Variance Regression Use semiVarReg (VarReg) With (In) R Software

15:34

Implementing R staggered package based on Roth and Sant'Anna (2021) Use staggered With STATA 18

13:15

Structural change tests (chow test) linear regression models Use sctest (strucchange) In R Software

09:55

Event probability regression of Occurrence of events models Use stpreg With STATA 18

09:55

Loglinear Models Use loglm With (In) R Software

11:28

Structural change regression and chow test Use chowreg With STATA 18

13:26

Maximum likelihood estimation scaled logit (logistic) regression model parameters in sclr R Software

10:32

Logistic quantile regression for bounded outcomes Use lqreg With STATA 18

15:14

Robust Linear Quantile Regression Use lqr With (In) R Software

11:25

Mixed-effects location scale model analysis software Use runmixregmls (mixreglms) With STATA 18

16:27

Kruskal Wallis Test Use R Software Complete Step By Step