Randomized controlled trials often suffer from two major complications, ie, noncompliance
and missing outcomes. One potential solution to this problem is a statistical concept called …

This report calls on the nation—its leaders, its mental health research and service provision
agencies, its schools, its primary care medical systems, its community-based organizations …

An up-to-date, comprehensive treatment of a classic text on missing data in statistics The
topic of missing data has gained considerable attention in recent decades. This new edition …

This paper discusses the bias that results from using nonrandomly selected samples to
estimate behavioral relationships as an ordinary specification error or" omitted variables" …

Many scientific problems require that treatment comparisons be adjusted for posttreatment
variables, but the estimands underlying standard methods are not causal effects. To address …

Sažetak The appropriate choice in study design is essential for the successful execution of
biomedical and public health research. There are many study designs to choose from within …

▪ Abstract A central problem in public health studies is how to make inferences about the
causal effects of treatments or agents. In this article we review an approach to making such …

Preventing Mental, Emotional, and Behavioral Disorders Among Young People: Progress and
Possibilities | The National Academies Press Skip to main content Navigate to Help Ordering …

Featuring engaging examples from diverse disciplines, this book explains how to use
modern approaches to quasi-experimentation to derive credible estimates of treatment …

Experimentation is a powerful methodology that enables scientists to establish causal claims
empirically. However, one important criticism is that experiments merely provide a black box …