The ageing process involves complex biological changes, with epigenetic alterations playing a crucial part. Epigenetic clocks, the machine learning algorithms that predict biological age on the basis ...

To obtain causal interpretation, we need to define the causal estimand through potential outcome framework (introduced in section 'Causal inference') and figure out a way to find an estimator (a ...

Many observational studies aim to make causal inferences about effects of interventions or exposures on health outcomes. This course defines causation, describes how emulating a ‘target trial’ can ...

Decades of research have established a significant link between physical activity and health, influencing agenda setting, policy making and community awareness.1–4 However, the field continues to ...

This course is available on the MPhil/PhD in Economic Geography, MPhil/PhD in Environmental Economics, MPhil/PhD in International Relations, MPhil/PhD in Regional and Urban Planning Studies, MRes in ...

A selective list of resources for causal inference, experimentation, quasi-experiments, uplift modeling, causal machine learning, and decisions from data. Causal inference is not a menu of estimators.

This course is available on the MSc in Applied Social Data Science, MSc in Behavioural Science, MSc in Human Geography and Urban Studies (Research), MSc in Innovation Policy, MSc in International ...

Gow, Ian D., David F. Larcker, and Peter C. Reiss. "Causal Inference in Accounting Research." Journal of Accounting Research 54, no. 2 (May 2016): 477–523.