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1. causal_sim causal_sim Public

   Simulating longitudinal data from marginal structural models using the additive hazards model. https://arxiv.org/abs/2002.03678

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2. meas_error_handbook meas_error_handbook Public

   Ruth H Keogh & Jonathan W Bartlett. Measurement error as a missing data problem. In: Handbook of Measurement Error and Variable Selection. 2019. To appear. https://arxiv.org/abs/1910.06443

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3. sequential_trials sequential_trials Public

   R code for implementation of the simulation study described in the paper: "Causal inference in survival analysis using longitudinal observational data: Sequential trials and marginal structural mo…

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4. superlearner_survival_tutorial superlearner_survival_tutorial Public

   The super learner for time-to-event outcomes: A tutorial. Ruth Keogh, Karla Diaz-Ordaz, Nan van Geloven, Jon Michael Gran, Kamaryn Tanner. https://arxiv.org/abs/2509.03315

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5. ABCi_data ABCi_data Public

   "A benchmark causal inference (ABCi) data set: simulated data on time-varying treatments, confounders and outcomes based on patients with type 2 diabetes." Ruth Keogh, Nan van Geloven, Daniala Weir.

   R 5