18 citations · 28 across the 6 of their papers we have counts for
7 papers
A comparison of strategies for selecting auxiliary variables for multiple imputation
Rheanna M. Mainzer, Cattram D. Nguyen, John B. Carlin +3
Multiple imputation (MI) is a popular method for handling missing data. Auxiliary variables can be added to the imputation model(s) to improve MI estimates. However, the choice of…
Two sources of poor coverage of confidence intervals after model selection
Paul Kabaila, Rheanna Mainzer
We compare the following two sources of poor coverage of post-model-selection confidence intervals: the preliminary data-based model selection sometimes chooses the wrong model and…
Confidence Intervals that Utilize Uncertain Prior Information about Exogeneity in Panel Data
Paul Kabaila, Rheanna Mainzer
Consider panel data modelled by a linear random intercept model that includes a time-varying covariate. Suppose that we have uncertain prior information that this covariate is exog…
The Performance of the Turek-Fletcher Model Averaged Confidence Interval
Paul Kabaila, Alan H. Welsh, Rheanna Mainzer
We consider the model averaged tail area (MATA) confidence interval proposed by Turek and Fletcher, CSDA, 2012, in the simple situation in which we average over two nested linear r…
Conditional assessment of the impact of a Hausman pretest on confidence intervals
Paul Kabaila, Rheanna Mainzer, Davide Farchione
We assess the impact of a Hausman pretest, applied to panel data, on a confidence interval for the slope, conditional on the observed values of the time-varying covariate. This ass…
The impact of a Hausman pretest on the coverage probability and expected length of confidence intervals
Paul Kabaila, Rheanna Mainzer, Davide Farchione
In the analysis of clustered and longitudinal data, which includes a covariate that varies both between and within clusters (e.g. time-varying covariate in longitudinal data), a Ha…
The impact of a Hausman pretest, applied to panel data, on the coverage probability of confidence intervals
Paul Kabaila, Rheanna Mainzer, Davide Farchione
In the analysis of panel data that includes a time-varying covariate, a Hausman pretest is commonly used to decide whether subsequent inference is made using the random effects mod…