While this logo looks like something from Harry Potter (and to be honest, if someone asked I’d tell them it was), this is actually the crest of the Statistical Society of Canada (SSC). Who knew we had so much in common with Harry Potter? Lightning bolts AND owls? Seriously?
Anyway, the purpose of this post is to announce that the abstract I submitted to the Annual Meeting of the SSC (also known as nerdfest 2011) has been accepted! w00t!
What does this mean? It means that I will be giving a talk about my PhD research. I’m stoked. The abstract I submitted is below.
This also means that I will be heading to Wolfville Nova Scotia in June to attend the meetings, which is great for reasons beyond the nerdery of the Annual Meeting of Canada’s statisticians. That is, I’ll be able to check off item #136 (travel to Nova Scotia) from my Not-So-Bucket-List list. And if things work out according to plan, I’ll also be able to check off items #134 (travel to New Brunswick) and #138 (travel to Prince Edward Island) as well.
Of course I will keep you posted on the conference as it happens.
Gastrointestinal (GI) disease data provides motivation to extend Mixture Model (MM) literature to classify disease based on infection source. Specifically, MMs are employed to classify GI data as foodborne or waterborne. This work accounts for spatially indexed disease using two methods. In the first case, independent multivariate conditionally autoregressive spatial priors will be assigned to the log linear term of each of the mixture components. The second case investigates a non-independence assumption. These two models are contrasted with the standard CAR spatial model. All models are compared via a simulation study, with application to Alberta GI data (1992-1998).