Multiple imputation is a straightforward method for handling missing data in a principled
fashion. This paper presents an overview of multiple imputation, including important …

This article reviews the literature on historical persistence in political science and the related
social sciences. Historical persistence refers to causal effects that (a) operate over time …

Background The Global Burden of Diseases, Injuries, and Risk Factors Study 2015 provides
an up-to-date synthesis of the evidence for risk factor exposure and the attributable burden …

Summary Background In September, 2015, the UN General Assembly established the
Sustainable Development Goals (SDGs). The SDGs specify 17 universal goals, 169 targets …

Outcome-Wide Longitudinal Designs for Causal Inference: A New Template for Empirical
Studies Page 1 Statistical Science 2020, Vol. 35, No. 3, 437–466 https://doi.org/10.1214/19-STS728 …

Summary Background The Global Burden of Diseases, Injuries, and Risk Factors Study
2015 provides an up-to-date synthesis of the evidence for risk factor exposure and the …

This is a comprehensive introduction to research design for university students at all levels
across the whole range of political science, including international relations and public …

Recent developments in the causal-inference literature have renewed psychologists' interest
in how to improve causal conclusions based on observational data. A lot of the recent writing …

Causal inference requires theory and prior knowledge to structure analyses, and is not
usually thought of as an arena for the application of prediction modelling. However …

Principled methods for analyzing missing values, based chiefly on multiple imputation, have
become increasingly popular yet can struggle to handle the kinds of large and complex data …