The Berlin Epidemiological Methods Colloquium (BEMC) invites all interested participants to its next session on Wednesda...
The Berlin Epidemiological Methods Colloquium (BEMC) invites all interested participants to its next session on Wednesday, May 7, 2025 at 4:00 PM CEST.
📣 Guest Speaker: Martin Lajous (National Institute of Public Health, Mexico & Maria Sklodowska-Curie National Research Institute of Oncology, Poland) 🗣️ Talk Title:"Estimating effects on all-cause mortality in the presence of COVID-19 deaths"
In this presentation, Lajous will explore how the COVID-19 pandemic has introduced new challenges for epidemiologic cohorts evaluating the impact of risk factors on non-communicable disease mortality. Using data from the Mexican Teachers’ Cohort and the Polish-Norwegian Study, he will discuss patterns of mortality during and after the pandemic, and outline various causal inference methods for dealing with competing risks like COVID-19 deaths. The talk will also delve into advanced analytic strategies such as g-formula, IPTW, and separable treatment effects, including their application in real-world studies on colon and prostate cancer.
The Berlin Epidemiological Methods Colloquium (BEMC) invites all interested participants to its next session on Wednesday, May 7, 2025 at 4:00 PM CEST.
📣 Guest Speaker: Martin Lajous (National Institute of Public Health, Mexico & Maria Sklodowska-Curie National Research Institute of Oncology, Pol...
The Berlin Epidemiological Methods Colloquium (BEMC) invites all interested participants to its next session on Wednesday, May 7, 2025 at 4:00 PM CEST.
📣 Guest Speaker: Martin Lajous (National Institute of Public Health, Mexico & Maria Sklodowska-Curie National Research Institute of Oncology, Poland) 🗣️ Talk Title:"Estimating effects on all-cause mortality in the presence of COVID-19 deaths"
In this presentation, Lajous will explore how the COVID-19 pandemic has introduced new challenges for epidemiologic cohorts evaluating the impact of risk factors on non-communicable disease mortality. Using data from the Mexican Teachers’ Cohort and the Polish-Norwegian Study, he will discuss patterns of mortality during and after the pandemic, and outline various causal inference methods for dealing with competing risks like COVID-19 deaths. The talk will also delve into advanced analytic strategies such as g-formula, IPTW, and separable treatment effects, including their application in real-world studies on colon and prostate cancer.