Content
2018
- 21 A sign and rank based semiparametrically efficient estimator for regression analysis
by Vincenzo Verardi - 19 Analysing time-to-event data in the presence of competing risks within the flexible parametric modelling framework. What tools are available in Stata, which one to use and when?
by Sarwar Islam Mozumder - 18 Latent class analysis
by Kristin MacDonald - 17 Mata and The Mata Book: What you want to know and why you should care
by William Gould - 16 multishell: Running simulations efficiently using Stata’s shell command
by Jan Ditzen - 15 Making help files the easy way
by Adrian Mander - 14 Standardized survival curves and related measures from flexible survival parametric models
by Paul Lambert - 13 Nonlinear mixed-effects models
by Yulia Marchenko - 12 LASSOPACK and PDSLASSO: Prediction, model selection and causal inference with regularized regression
by Achim Ahrens & Christian B Hansen & Mark E Schaffer - 11 Customizing Stata graphs made easy
by Ben Jann - 10 Implementing the Leybourne-Taylor test for seasonal unit roots in Stata
by Christopher F Baum & Jesús Otero - 09 ardl: Estimating autoregressive distributed lag and equilibrium correction models
by Sebastian Kripfganz & Daniel Schneider - 08 Implementing machine learning methods in Stata
by Austin Nichols - 07 merlin: Mixed effects regression for linear and non-linear models
by Michael Crowther - 06 admetan: A new, comprehensive meta-analysis command
by David Fisher - 05 Multi-arm, multi-stage randomised controlled trials with stopping boundaries for efficacy and lack-of-benefit: An update to nstage
by Alexandra Blenkinsop & Babak Choodari-Oskooei - 04 Spaghetti, paella and alternatives: graphics for multiple series and groups
by Nicholas Cox - 02 Data-driven sensitivity analysis for matching estimators
by Giovanni Cerulli - 01 A fleet of packages for inputting United Kingdom primary care data
by Roger Newson