36 citations · 36 across the 4 of their papers we have counts for
5 papers
Nonparametric Bounds for Evaluating the Clinical Utility of Treatment Rules
Johannes Hruza, Erin Gabriel, Arvid Sjölander +2
Evaluating the value of new clinical treatment rules based on patient characteristics is important but often complicated by hidden confounding factors in observational studies. Sta…
On the limitations for causal inference in Cox models with time-varying treatment
Mark B. Knudsen, Erin E. Gabriel, Torben Martinussen +2
When using the Cox model to analyze the effect of a time-varying treatment on a survival outcome, treatment is commonly included, using only the current level as a time-dependent c…
Definition, Identification, and Estimation of the Direct and Indirect Number Needed to Treat
Valentin Vancak, Arvid Sjölander
The number needed to treat (NNT) is an efficacy and effect size measure commonly used in epidemiological studies and meta-analyses. The NNT was originally defined as the average nu…
Dealing with multiple testing: To adjust or not to adjust
Yudi Pawitan, Arvid Sjölander
Multiple testing problems arise naturally in scientific studies because of the need to capture or convey more information with more variables. The literature is enormous, but the e…
Analysis of 1:1 Matched Cohort Studies and Twin Studies, with Binary Exposures and Binary Outcomes
Arvid Sjölander, Anna L. V. Johansson, Cecilia Lundholm +3
To improve confounder adjustments, observational studies are often matched on potential confounders. While matched case-control studies are common and well covered in the literatur…