1 / 10

Statistical Modelling Advances in Social and Health data

A meeting to celebrate Murray Aitkin’s 70 th Birthday. Statistical Modelling Advances in Social and Health data. Changes to programme. Mikis Stasinopoulos replaces Goeran Kauermann (Flight problems because of volcanic ash) Brian Francis probably replaces Peter van der Heijden (laryngitis).

jethro
Download Presentation

Statistical Modelling Advances in Social and Health data

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. A meeting to celebrate Murray Aitkin’s 70th Birthday. Statistical Modelling Advances in Social and Health data

  2. Changes to programme Mikis Stasinopoulos replaces Goeran Kauermann (Flight problems because of volcanic ash) Brian Francis probably replaces Peter van der Heijden (laryngitis).

  3. Aim: A celebration of modelling advances • Development of statistical modelling over last 30 years has been rapid and extensive. • This meeting is a celebration of Murray Aitkin’s work over this period and what it has led on to. • Large body of Murray Aitkin’s work which is heavily cited. • Covers a wide spectrum of topics: Simultaneous test procedures, Applications of the EM algorithm, survival models, likelihood inference, latent class models, random effects models, item/response theory, mixture models, discrete random effects, Bayes factors, new approaches to Bayesian inference.

  4. Google top 5 Aitkin papers • Bock and Aitkin (1981) Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm 967 citations. • Aitkin, Hinde and Anderson (1981) Statistical modelling of data on teaching styles .276 citations • Anderson, and Aitkin (1985) Variance component models with a binary response. 240 citations • Aitkin and Clayton (1980) Fitting of exponential, Weibull and Extreme Value distributions. 211 citations • Aitkin and Rubin (1985) Estimation and hypothesis testing in finite mixture models. 205 citations

  5. Variance Component models and random effects • Developed through reanalysis of data on teaching styles ( formal, informal, mixed) • Exciting new area in 1980s with distinct research teams developing work and ideas. • Now vast body of work by numerous researchers • Speakers: Hinde, Goldstein, Alfo.

  6. Mixture models and latent class models • Contributions in Monte Carlo testing, EM fitting of models in the GLM framework, and more recently, new inferential procedures for determining number of groups. • Speakers – Longford.

  7. Statistical modelling advances • Investigation of wide variety of new models for data in survival analysis, contingency table analysis and item/response theory. • Work in comparison of correspondence analysis and log-linear models. • Involvement in Statistical Modelling workshops • Speakers: Kauermann, de Falguerolles, Firth, Statiinopoulos.

  8. Work on inference • Likelihood based – Book on Statistical Modelling in GLIM. • New approaches to Bayesian analysis - new book out in July. • Speakers: Liu, Aitkin

  9. Longitudinal studies..

More Related