COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |

## Sampling bias in logistic modelsAdd to your list(s) Download to your calendar using vCal - Peter McCullagh (University of Chicago)
- Friday 14 November 2008, 16:00-17:30
- MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB.
If you have a question about this talk, please contact rbg24. This talk is concerned with regression models for the effect of covariates on correlated binary and correlated polytomous responses. In a generalized linear mixed model, correlations are induced by a random effect, additive on the logistic scale, so that the joint distribution p_x(y) obtained by integration depends on the covariate values x on the sampled units. The thrust of this talk is that the conventional formulation is inappropriate for most natural sampling schemes in which the sampled units inevitably arise from a random process. The conventional analysis incorrectly predicts parameter attenuation due to the random effect, thereby giving a misleading impression of the magnitude of treatment effects. The error in the conventional analysis is a subtle consequence of sampling bias that arises from random sampling of units. This talk will describe a non-standard but mathematically natural formulation in which the units are auto-generated by an explicit sampling plan. For a quota sample in which the x-configuration is pre-specified, the model distribution coincides with p_x(y) in the GLMM . However, if the sample units are selected at random, for example by simple random sampling from the available population, the conditional distribution p(y | x)$ is different from p_x(y). By contrast with conventional models, conditioning on x is not equivalent to stratification by x. The implications for likelihood computations and estimating equations will be discussed. This talk is part of the Statistics series. ## This talk is included in these lists:- All CMS events
- All Talks (aka the CURE list)
- CMS Events
- Cambridge Forum of Science and Humanities
- Cambridge Language Sciences
- Cambridge talks
- Chris Davis' list
- DPMMS Lists
- DPMMS info aggregator
- DPMMS lists
- Guy Emerson's list
- Hanchen DaDaDash
- Interested Talks
- MR12, CMS, Wilberforce Road, Cambridge, CB3 0WB
- Machine Learning
- School of Physical Sciences
- Statistical Laboratory info aggregator
- Statistics
- Statistics Group
- bld31
- custom
- rp587
Note that ex-directory lists are not shown. |
## Other listsCamCREES seminars (Cambridge Committee for Russian and East European Studies) BSS Formal Seminars ME Seminar## Other talksMultilingual Identities and Heterogeneous Language Ideologies in the New Latino Diaspora Seminar – The Cambridge Sustainable Food Hub CANCELLED-Open tools in Marchantia for plant bioengineering work and as a platform for elucidating morphogenesis How to make good scientific figures Intrinsically Motivating Teachers;STIR's use of Data Driven Insight to Iterate, Pivot and (where necessary) Fail Fast The race to solve the solar metallicity problem with neutrinos and discover dark matter |