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.

Knaeble, Osting, and Tshiaba (2023). Observational Causality Testing.

arXiv

Knaeble, Osting, and Tshiaba (2023). An asymptotic threshold of sufficient randomness for causal inference. Stat, 12(1).

Stat (open access)

video abstract

Knaeble, Osting, and Abramson (2020). Regression analysis of unmeasured confounding. Epidemiologic Methods, 9(1).

Epidemiol Methods

arXiv

video abstract

Knaeble and Chan (2018). Odds are the sign is right. Biometrical Journal, 60(6).

Biom. J.

arXiv

Knaeble and Dutter (2017). Reversals of Least-Squares Estimates and Model-Invariant Estimation for Directions of Unique Effects. The American Statistician, 71(2).

Am Stat

arXiv

Knaeble, B. (2017). Adjustment with three continuous variables. Communications in Statistics - Simulation and Computation, 48(2).

Commun. Stat. Simul. Comput.

arXiv

Knaeble, B. (2015). Regression and Random Confounding. Electronic Journal of Applied Statistical Analysis, 8(3).

Electron. J. Appl. Stat. Anal. (open access)

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