42 citations · 141 across the 24 of their papers we have counts for
25 papers
Improving interpretation of latent class models for diagnostic tests by recognizing their measurands via directed acyclic graphs (DAGs)
Nandini Dendukuri, Ian Schiller, Else Bijker +4
Summary: In the absence of a perfect diagnostic test for a target condition, multiple imperfect tests may be used to arrive at a clinical diagnosis. Latent class analysis can be us…
Partial identification for discrete data with nonignorable missing outcomes
Daniel Daly-Grafstein, Paul Gustafson
Nonignorable missing outcomes are common in real world datasets and often require strong parametric assumptions to achieve identification. These assumptions can be implausible or u…
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…