2 citations · 4 across the 4 of their papers we have counts for
5 papers
biniLasso: Automated cut-point detection via sparse cumulative binarization
Abdollah Safari, Hamed Halisaz, Peter Loewen
We present biniLasso and its sparse variant (sparse biniLasso), novel methods for prognostic analysis of high-dimensional survival data that enable detection of multiple cut-points…
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…
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…
Parameter-driven models for time series of count data
Abdollah Safari, Rachel MacKay Altman, Brian Leroux
This paper considers a general class of parameter-driven models for time series of counts. A comprehensive simulation study is conducted to evaluate the accuracy and efficiency of…
Display advertising: Estimating conversion probability efficiently
Abdollah Safari, Rachel MacKay Altman, Thomas M. Loughin
The goal of online display advertising is to entice users to "convert" (i.e., take a pre-defined action such as making a purchase) after clicking on the ad. An important measure of…