Content
2013
- 23 Mixed logit modeling in Stata--an overview
by Arne Risa Hole - 22 Estimating and modelling cumulative incidence functions using time-dependent weights
by Paul C. Lambert - 21 Path diagrams as a notational formalism--noodling around with pictures
by Vince Wiggins - 20 A suite of Stata programs for network meta-analysis
by Ian White - 19 Two-stage individual participant data meta-analysis and forest plots
by David Fisher - 18 From Stata to aML
by Sara Ayllon - 17 usecspro: Importing CSPro hierarchical datasets to Stata
by Sergiy Radyakin - 16 Adaptive dose-finding designs to identify multiple doses that achieve multiple response targets
by Adrian Mander & Simon Bond - 15 Power of the power command in Stata 13
by Yulia Marchenko - 14 Semiparametric regression in Stata
by Vincenzo Verardi - 13 A general approach to testing for autocorrelation
by Christopher F Baum & Mark E Schaffer - 12 Strategy and tactics for graphic multiples in Stata
by Nicholas Cox - 11 Sample size by simulation for clinical trials with survival outcomes: The simsam package in action
by Richard Hooper - 10 Repeated half-sample bootstrap resampling
by Philippe Van Kerm - 09 Estimating spatial panel models using unbalanced panels
by Gordon Hughes - 08 The stiqsp command: A nonparametric approach for the simultaneous analysis of quality-of-life and survival data using the integrated quality survival product
by Piers Gaunt & Michael J. Crowther & Lucinda Billingham - 07 A multiple imputation and coarse data approach to residually confounded regression models
by Robert Grant - 06 Multiple imputation of missing data in longitudinal health records
by Irene Petersen & Catherine Welch - 05 Multilevel mixed-effects parametric survival analysis
by Michael J. Crowther - 04 A Monte Carlo analysis of multilevel binary logit model estimator performance
by Stephen P. Jenkins - 03 Multiple imputation of covariates in the presence of interactions and nonlinearities
by Jonathan Bartlett - 02 treatrew: A user-written Stata routine for estimating average treatment effects by reweighting on propensity score
by Giovanni Cerulli - 01 Creating factor variables in resultssets and other datasets
by Roger Newson