42 citations · 141 across the 24 of their papers we have counts for
4 papers · 1 filter
Measurement Error in Meta-Analysis (MEMA) -- a Bayesian framework for continuous outcome data
Harlan Campbell, Valentijn M. T. de Jong, Lauren Maxwell +3
Ideally, a meta-analysis will summarize data from several unbiased studies. Here we consider the less than ideal situation in which contributing studies may be compromised by measu…
Parameter Restrictions for the Sake of Identification: Is there Utility in Asserting that Perhaps a Restriction Holds?
Paul Gustafson
Statistical modeling can involve a tension between assumptions and statistical identification. The law of the observable data may not uniquely determine the value of a target param…
Bayesian adjustment for preferential testing in estimating the COVID-19 infection fatality rate
Harlan Campbell, Perry de Valpine, Lauren Maxwell +4
A key challenge in estimating the infection fatality rate (IFR) -- and its relation with various factors of interest -- is determining the total number of cases. The total number o…
Concentration of Benefit index: A threshold-free summary metric for quantifying the capacity of covariates to yield efficient treatment rules
Mohsen Sadatsafavi, Mohammad Ali Mansournia, Paul Gustafson
When data on treatment assignment, outcomes, and covariates from a randomized trial are available, a question of interest is to what extent covariates can be used to optimize treat…