7 papers
Adjusting for misclassification of an exposure in an individual participant data meta-analysis
Valentijn M. T. de Jong, Harlan Campbell, Lauren Maxwell +3
A common problem in the analysis of multiple data sources, including individual participant data meta-analysis (IPD-MA), is the misclassification of binary variables. Misclassifica…
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…
A non-inferiority test for R-squared with random regressors
Harlan Campbell
Determining the lack of association between an outcome variable and a number of different explanatory variables is frequently necessary in order to disregard a proposed model. This…
The consequences of checking for zero-inflation and overdispersion in the analysis of count data
Harlan Campbell
Count data are ubiquitous in ecology and the Poisson generalized linear model (GLM) is commonly used to model the association between counts and explanatory variables of interest.…
Can we disregard the whole model? Omnibus non-inferiority testing for in multivariable linear regression and in ANOVA
Harlan Campbell, Daniël Lakens
Determining a lack of association between an outcome variable and a number of different explanatory variables is frequently necessary in order to disregard a proposed model (i.e.,…
What to make of non-inferiority and equivalence testing with a post-specified margin?
Harlan Campbell, Paul Gustafson
In order to determine whether or not an effect is absent based on a statistical test, the recommended frequentist tool is the equivalence test. Typically, it is expected that an ap…