143 citations · 190 across the 13 of their papers we have counts for
4 papers · 1 filter
Bayesian inference for disease transmission models informed by viral dynamics
Dylan J. Morris, Lauren Kennedy, Andrew J. Black
Infectious disease dynamics operate across multiple biological scales, with within-host viral dynamics being a key driver of between-host transmission. However, while models that e…
Using sex and gender in survey adjustment
Lauren Kennedy, Katharine Khanna, Daniel Simpson +3
Accounting for sex and gender is a challenge in social science research. While other methodology papers consider issues surrounding appropriate measurement, we consider the problem…
Know your population and know your model: Using model-based regression and poststratification to generalize findings beyond the observed sample
Lauren Kennedy, Andrew Gelman
Psychology research focuses on interactions, and this has deep implications for inference from non-representative samples. For the goal of estimating average treatment effects, we…
The experiment is just as important as the likelihood in understanding the prior: A cautionary note on robust cognitive modelling
Lauren Kennedy, Daniel Simpson, Andrew Gelman
Cognitive modelling shares many features with statistical modelling, making it seem trivial to borrow from the practices of robust Bayesian statistics to protect the practice of ro…