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September 2020

BSU Seminar: ‘Assumption-lean inference for generalised linear model parameters’

September 24 @ 2:00 pm - 3:00 pm
Virtual Seminar via MS Teams
Free

Virtual BSU Seminar  Speaker: Prof Stijn Vansteelandt, Ghent University Title: ‘Assumption-lean inference for generalised linear model parameters’ Abstract: Inference for the parameters indexing generalised linear models is routinely based on the assumption that the model is correct and a priori specified. This is unsatisfactory because the chosen model is usually the result of a data-adaptive model selection process, which induces bias and excess uncertainty that is not usually acknowledged; moreover, the assumptions encoded in the resulting model rarely represent some…

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October 2020

BSU Seminar: ‘Stochastic treatment interventions in causal survival analysis’

October 13 @ 2:00 pm - 3:00 pm
Virtual Seminar via MS Teams
Free

Virtual BSU Seminar Speaker: Dr Lan Wen, Harvard University Title: 'Stochastic treatment interventions in causal survival analysis' Abstract: Several methods are available for estimating the causal effect of time-varying treatment strategies on survival outcomes in observational studies. These include singly robust methods such as inverse probability weighting (IPW) that requires a sequence of correctly specified models of the observed treatment distribution (the propensity score), and iterative conditional expectation (ICE) that require a sequence of correctly specified models of the nested conditional…

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