32 citations · 86 across the 23 of their papers we have counts for
4 papers · 1 filter
Expected value of sample information calculations for risk prediction model development
Abdollah Safari, Paul Gustafson, Mohsen Sadatsafavi
Risk prediction models are often advertised as deterministic functions that map covariates to predicted risks. However, they are typically trained using finite samples, and as such…
Identification of distributions for risks based on the first moment and c-statistic
Mohsen Sadatsafavi, Tae Yoon Lee, John Petkau
We show that for any family of distributions with support on [0,1] with strictly monotonic cumulative distribution function that has no jumps and is quantile-identifiable (i.e., an…
Evaluating Treatment Benefit Predictors using Observational Data: Contending with Identification and Confounding Bias
Yuan Xia, Mohsen Sadatsafavi, Paul Gustafson
A treatment benefit predictor (TBP) is a function that maps patient characteristics to an estimate of the treatment benefit for that patient. Such predictors support optimizing ind…
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…