Thanks to Tim Morris for letting me know about a paper just published in the journal Clinical Trials by Zhang et al, titled ‘Conditional estimation and inference to address observed covariate imbalance in randomized clinical trials’. Zhang et al propose so called conditional estimation and inference to address observed covariate imbalance in randomised trials. They introduce the setup of randomised trials with covariates 
, randomised treatment 
, and outcome 
. They begin with a framework that treats all three as random in repeated sampling, and review the unadjusted estimator of the marginal mean difference in outcome, and a covariate adjusted estimator based on earlier work by Tsiatis and others.
Randomized controlled trials
Randomisation as the basis for inference in trials
Today I was lucky enough to listen Prof William Rosenberger present the 15th Armitage lecture in Cambridge. Prof Rosenberger has worked extensively on randomisation in trials in various respects (see his book), and he delivered a really interesting talk. The talk can now be viewed online here.
Live stream seminar 26th October 2017: Covariate adjustment and prediction of mean response in randomised trials
Next Thursday (14:00 UK time, 26th October 2017) I’ll be giving a seminar at the University of Southampton in the UK on my recent work on covariate adjustment and prediction of mean response in randomised trials. The seminar will be live streamed here, which after the talk will be accessible as a recording.
The talk abstract can be found here.