In many fields of scientific research and real-world applications, unbiased estimation of
causal effects from non-experimental data is crucial for understanding the mechanism …

The past decade has witnessed an explosion of interest in research and education in causal
inference, due to its wide applications in biomedical research, social sciences, artificial …

Protected areas are critical for providing ecosystem services. However, studies on the effect
of protected areas on ecosystem service enhancement remain lacking, which restricts …

We develop the concept of auditor industry range as the extent to which an auditor has
experiences in auditing clients from different industries, and we link this construct to auditor …

Problem definition: Online retailers have to provide customers with an estimate of how fast
an order can be delivered before they decide to make the purchase. Retailers can …

In the context of a binary treatment, matching is a well-established approach in causal
inference. However, in the context of a continuous treatment or exposure, matching is still …

Ethical mutual funds (MFs) have grown in popularity over the past few years. However, the
investors generally have concerns about their profitability compared to the investment group …

Neighbourhood-level screening algorithms are increasingly being deployed to inform policy
decisions. However, their potential for harm remains unclear: algorithmic decision-making …

In the American tropics, logging is almost always highly selective, leaving most of the forest
standing and available for future harvest under sustainable forest management. However …

Abstract Background Nirmatrelvir/ritonavir (N/R) reduces severe outcomes from coronavirus
disease 2019 (COVID-19); however, rebound after treatment has been reported. We …