19 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of British ColumbiaCA4 papers
- Amirkabir University of TechnologyIR1 paper
- Center for Outcomes Research and Clinical EpidemiologyIT1 paper
- KU LeuvenBE1 paper
- Maastricht UniversityNL1 paper
- Memorial Sloan Kettering Cancer CenterUS1 paper
- University of AlbertaCA1 paper
- University of TehranIR1 paper
- Yale UniversityUS1 paper
6 papers
The expected value of sample information calculations for external validation of risk prediction models
Mohsen Sadatsafavi, Andrew J Vickers, Tae Yoon Lee +2
In designing external validation studies of clinical prediction models, contemporary sample size calculation methods are based on the frequentist inferential paradigm. One of the w…
Using Active Learning Methods to Strategically Select Essays for Automated Scoring
Tahereh Firoozi, Hamid Mohammadi, Mark J. Gierl
Research on automated essay scoring has become increasing important because it serves as a method for evaluating students' written-responses at scale. Scalable methods for scoring…
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…
Minding non-collapsibility of odds ratios when recalibrating risk prediction models
Mohsen Sadatsafavi, Hamid Tavakoli, Abdollah Safari
In clinical prediction modeling, model updating refers to the practice of modifying a prediction model before it is used in a new setting. In the context of logistic regression for…
Uncertainty and Value of Information in Risk Prediction Modeling
Mohsen Sadatsafavi, Tae Yoon Lee, Paul Gustafson
Background: Due to the finite size of the development sample, predicted probabilities from a risk prediction model are inevitably uncertain. We apply Value of Information methodolo…
Function Driven Diffusion for Personalized Counterfactual Inference
Alexander Cloninger
We consider the problem of constructing diffusion operators high dimensional data to address counterfactual functions , such as individualized treatment effectiveness. We pr…