University of Cambridge > > MRC Biostatistics Unit Seminars > Virtual BSU Seminar: "A flexible sensitivity analysis for sample selection bias"

Virtual BSU Seminar: "A flexible sensitivity analysis for sample selection bias"

Add to your list(s) Download to your calendar using vCal

  • UserMatt Tudball, University of Bristol
  • ClockThursday 10 February 2022, 14:00-15:00
  • HouseVirtual Seminar .

If you have a question about this talk, please contact Alison Quenault.

This will be a virtual seminar. To register for free, please click here:

Selection bias can occur when a sample differs systematically from the population from which it was drawn. This can distort statistical quantities and lead to erroneous inferences. Selection bias can be difficult to address when there is limited information available on the population. In this talk, I will describe a sensitivity analysis for selection bias which is able to flexibly incorporate a wide variety of population-level information (e.g. summary statistics, negative controls, shape constraints), while providing valid statistical inference. Applications include 1) estimating the effect of education on income in UK Biobank and 2) estimating risk factors for Covid-19 infection within a sample of individuals who have received a Covid-19 test. Please see the pre-print for more details:

This talk is part of the MRC Biostatistics Unit Seminars series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.


© 2006-2024, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity