42 citations · 141 across the 24 of their papers we have counts for
6 papers · 1 filter
Defining a credible interval is not always possible with "point-null'' priors: A lesser-known correlate of the Jeffreys-Lindley paradox
Harlan Campbell, Paul Gustafson
In many common situations, a Bayesian credible interval will be, given the same data, very similar to a frequentist confidence interval, and researchers will interpret these interv…
Issues in Implementing Regression Calibration Analyses
Lillian Boe, Pamela A. Shaw, Douglas Midthune +5
Regression calibration is a popular approach for correcting biases in estimated regression parameters when exposure variables are measured with error. This approach involves buildi…
Value of Information Analysis for External Validation of Risk Prediction Models
Mohsen Sadatsafavi, Tae Yoon Lee, Laure Wynants +2
Background: Before being used to inform patient care, a risk prediction model needs to be validated in a representative sample from the target population. The finite size of the va…
Methodological concerns about 'concordance-statistic for benefit' as a measure of discrimination in treatment benefit prediction
Yuan Xia, Paul Gustafson, Mohsen Sadatsafavi
Prediction algorithms that quantify the expected benefit of a given treatment conditional on patient characteristics can critically inform medical decisions. Quantifying the perfor…
Closed-Form Solution of the Unit Normal Loss Integral in Two-Dimensions
Tae Yoon Lee, Paul Gustafson, Mohsen Sadatsafavi
In Value of Information (VoI) analysis, the unit normal loss integral (UNLI) frequently emerges as a solution for the computation of various VoI metrics. However, one limitation of…
Bayes factors and posterior estimation: Two sides of the very same coin
Harlan Campbell, Paul Gustafson
Recently, several researchers have claimed that conclusions obtained from a Bayes factor (or the posterior odds) may contradict those obtained from Bayesian posterior estimation. I…