science

At its simplest, statistical inference is used to draw conclusions from the data in our samples and project these findings to populations for which we do not have data. Having previously discussed some of the primary differences between Bayesian and Frequentist (Classical) schools of inference, one can summarise the fundamental differences between the two approaches […]

featured

There’s a lot of truth in the quote above, well the bit about statistics at least – I don’t think anyone else, anywhere at any time has ever considered computer engineering a sexy occupation. With that said, sexy or not, statistical analysis has become an essential tool to researchers of all scientific disciplines so it […]

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Affordable whole genome sequencing is nearing ever closer and with it an urgency to develop more robust and quantitative diagnostic tools that might aid in objectively classifying neurological disorders. Biochemical & structural phenotypes that can be  readily and cheaply tested for is a worthy, though frustratingly elusive, pursuit across a wide spectrum of disorders. One such […]

Cholesky_2

Cholesky Decomposition… Twin and adoption studies rely heavily on the Cholesky Method and not being au fait in the nuances of advanced statistics, I decided to have a fumble around the usual online resources to pad out the meagre understanding I had gleaned from a recent seminar. Que the overly familiar and equally frustrating routine of combing […]

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