Select Articles
Below, you'll find links to selected publications. Each publication below is related to sensitivity analysis for causal inference. The CV provided under the CV tab in the upper right contains references to additional publications that resulted from interdisciplinary collaborations.
Below, you'll find links to selected publications. Each publication below is related to sensitivity analysis for causal inference. The CV provided under the CV tab in the upper right contains references to additional publications that resulted from interdisciplinary collaborations.
Knaeble, Osting, and Tshiaba (2023). Observational Causality Testing.
Knaeble, Osting, and Tshiaba (2023). An asymptotic threshold of sufficient randomness for causal inference. Stat, 12(1).
Knaeble, Osting, and Tshiaba (2023). An asymptotic threshold of sufficient randomness for causal inference. Stat, 12(1).
Stat (open access)
Knaeble, Osting, and Abramson (2020). Regression analysis of unmeasured confounding. Epidemiologic Methods, 9(1).
Knaeble, B. (2017). Adjustment with three continuous variables. Communications in Statistics - Simulation and Computation, 48(2).
Knaeble, B. (2015). Regression and Random Confounding. Electronic Journal of Applied Statistical Analysis, 8(3).
Electron. J. Appl. Stat. Anal. (open access)