My statistical training covers the ground from estimator derivation (likelihood theory and method of moments) through to the application of a variety of advanced modelling techniques (e.g. fractional polynomial regression, multi-level modelling).
I am a fully competent user and programmer in Stata and SPSS and have provided training in the use of both. I am also familiar with SAS, MlWin, First Bayes, WinBUGS and G-Power.
I use a wide range of statistical techniques from basic descriptive and inferential statistics through various forms of regression (linear, logistic, fractional polynomial, Poisson, exponential, proportional hazards), bootstrapping, Bayesian methods (Gibbs sampling), analysis of variance (ANCOVA, MANOVA etc.), survival analysis, and multi-level modelling for hierarchically structured data using robust standard errors, generalised estimating equations or full random effects multi-level modelling.
I also have experience with niche techniques such as statistical process control (SPC charts), screening metrics, structural equation modelling and modelling of health economic data.