We present results about the effects of observing others' choices, called observational learning, on individuals' behavior and subjective well-being in the context of restaurant dining from a ...

but the agency cannot conduct a randomized experiment on humans to determine the extent of harm, if any, caused by such an exposure. Instead, it might use evidence from various sources, including ...

Randomized controlled trials (RCTs) are the gold standard for evaluating the efficacy of interventions, because they avoid key sources of bias by randomly allocating participants to the treatment or ...

Causal inference is a critical area of research in statistics and econometrics, particularly when it comes to understanding treatment effects in observational studies. Unlike randomized controlled ...

Abstract: Estimating heterogeneous treatment effects is an important problem across many domains. In order to accurately estimate such treatment effects, one typically relies on data from ...

Using the potential outcomes framework of causality, topics covered include research designs such as randomized experiments, observational studies, and so-called natural experiments. We explore the ...

In the randomized controlled trial ... intensity physical activity will be superior compared to moderate-intensity physical activity. This Research Topic in Frontiers in Nutrition presents some of ...

Gagnon-Bartsch, Johann A., Adam C. Sales, Edward Wu, Anthony F. Botelho, John A. Erickson, Luke W. Miratrix and Neil T. Heffernan. 2023. Precise unbiased estimation ...

In causal inference, a randomized experiment is a de facto method to overcome various theoretical issues in observational study. However, the experimental design requires expensive costs, so an ...