Phys.org

Statistical tools for valid causal inference with fewer assumptions

Causal inference is important in medical research to help determine if treatments are beneficial and if natural exposures are harmful. In many settings, data collection makes causal inference ...
BMJ

Causal inference in physical activity epidemiology research: an opportunity for better evidence

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 ...
umass

Do observational causal inference methods really work?

Over the past several decades, multiple statistical methods have been developed to infer the existence and magnitude of causal effects by analyzing observational data. These methods have been widely ...

Afterword to the Afterword (4): Questioning Causal Inference — 'Economics Swallowed by Data: The Fading Faith in Theory' (Nippon Hyoron Sha, 2023)

When the project for 'The Walls of Economics' was underway, I was contacted by an old acquaintance, an editor at another publishing house. This person had shifted paths from a career in research and ...
JSTOR Daily

Causality In Crisis?: Statistical Methods & Search for Causal Knowledge in Social Sciences

Your institution does not have access to this book on JSTOR. Try searching on JSTOR for other items related to this book. https://doi.org/10.2307/jj.21995551.4 https ...