Systematic Sampling: What It Is, Pros and Cons

Systematic sampling is straightforward and low risk, offering better control. However, it may introduce sampling errors and ...
JSTOR Daily

Using Standard Tools From Finite Population Sampling to Improve Causal Inference for Complex Experiments

This article considers causal inference for treatment contrasts from a randomized experiment using potential outcomes in a finite population setting. Adopting a Neymanian repeated sampling approach ...
The New York Times

Don’t Think You Need a Coronavirus Test? What if I Paid You?

Economists say rewards could overcome hurdles in gauging the overall infection and mortality rates from a limited population sample. By Eduardo Porter In March, Andrew Atkeson, an economics professor ...
The Conversation

Want to know how many people have the coronavirus? Test randomly

The authors do not work for, consult, own shares in or receive funding from any company or organization that would benefit from this article, and have disclosed no relevant affiliations beyond their ...
BMJ Open

Maternal out-of-home care experience and offspring symptom development across domains: a latent profile analysis of a UK longitudinal population sample

Objective This prospective longitudinal study of a general population sample investigates whether maternal experience of out-of-home care (OHC) constitutes an independent risk factor for the ...