competing events

Selection Bias in Health Research: Quantifying, Eliminating, or Exacerbating Health Disparities?

Purpose of Review: To summarize recent literature on selection bias in disparities research addressing either descriptive or causal questions, with examples from dementia research. Recent Findings: Defining a clear estimand, including the target population, is essential to assess whether generalizability bias or collider-stratification bias is a threat to inferences.

Considering questions before methods in dementia research with competing events and causal goals

Studying causal exposure effects on dementia is challenging when death is a competing event. Researchers often interpret death as a potential source of bias, though bias cannot be defined or assessed if the causal question is not explicitly specified.

Towards a clearer understanding of the inverse association between cancer and dementia

I presented this work in the Oral abstract session of Novel questions and innovative methods in aging epidemiology at the Society for Epidemiologic Research Conference, 2021. The work from this presentation is under review for publication.

Looking at competing events through a different lens in dementia research: Examples from the Rotterdam Study

I presented this work in the session of SCR4-29 - Public Health: Innovative Methods In ADRD Research at the Alzheimer’s Association International Conference on July, 2020. I co-chaired this virtual session.

Looking at competing events through a different lens in dementia research

I presented this work in the Selection Session at MELODEM’s first virtual Annual Meeting on July 2020. The manuscript of this work is in process.