32 citations · 86 across the 23 of their papers we have counts for
9 papers · 1 filter
Value-of-Information Analysis for External Validation of Risk Prediction Models in Multicenter Studies and Systematic Reviews
Laure Wynants, Kim Zhipei Wang, Sabine Grimm +5
External validation studies have finite sample sizes, creating uncertainty about whether a prediction model's Net Benefit (NB) exceeds default strategies' NB. The expected value of…
Transportability of Prognostic Markers: Rethinking Common Practices through a Sufficient-Component-Cause Perspective
Mohsen Sadatsafavi, Gavin Pereira, Wenjia Chen
Transportability, the ability to maintain performance across populations, is a desirable property of markers of clinical outcomes. However, empirical findings indicate that markers…
Bayesian sample size calculations for external validation studies of risk prediction models
Mohsen Sadatsafavi, Paul Gustafson, Solmaz Setayeshgar +2
Contemporary sample size calculations for external validation of risk prediction models require users to specify fixed values of assumed model performance metrics alongside target…
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…
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…
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…
Concentration of Benefit index: A threshold-free summary metric for quantifying the capacity of covariates to yield efficient treatment rules
Mohsen Sadatsafavi, Mohammad Ali Mansournia, Paul Gustafson
When data on treatment assignment, outcomes, and covariates from a randomized trial are available, a question of interest is to what extent covariates can be used to optimize treat…
A threshold-free summary index for quantifying the capacity of covariates to yield efficient treatment rules
Mohsen Sadatsafavi, Mohammad Mansournia, Paul Gustafson
The focus of this paper is on quantifying the capacity of covariates in devising efficient treatment rules when data from a randomized trial are available. Conventional one-variabl…