Machine learning is a field at the intersection of statistics and computer science that uses
algorithms to extract information and knowledge from data. Its applications increasingly find …

Randomized clinical trials (RCT) are accepted as the gold-standard approaches to measure
effects of intervention or treatment on outcomes. They are also the designs of choice for …

Propensity score matching (PSM) is a popular method in clinical researches to create a
balanced covariate distribution between treated and untreated groups. However, the …

Importance Within 2 decades of onset, 80% of untreated patients with relapsing-remitting
multiple sclerosis (MS) convert to a phase of irreversible disability accrual termed secondary …

An innovative and accessible guide to doing social research in the digital age. In just the
past several years, we have witnessed the birth and rapid spread of social media, mobile …

We show that propensity score matching (PSM), an enormously popular method of
preprocessing data for causal inference, often accomplishes the opposite of its intended …

Financial inclusion has become an important public policy priority following the recent global
financial crisis. Yet, we know very little of how it impacts soundness of the providers of …

We examined the long-term impact of coauthorship with established, highly-cited scientists
on the careers of junior researchers in four scientific disciplines. Here, using matched pair …

Since the 1980's, decentralized forest management has been promoted as a way to
enhance sustainable forest use and reduce rural poverty. Rural communities manage …

Importance Recent evidence suggests that cannabis use during pregnancy is increasing,
although population-based data about perinatal outcomes following in utero exposure …