An introduction to instrumental variables for epidemiologists
Instrumental-variable (IV) methods were invented over 70 years ago, but remain uncommon in epidemiology. Over the past decade or so, non-parametric versions of IV methods have a...
Instrumental-variable (IV) methods were invented over 70 years ago, but remain uncommon in epidemiology. Over the past decade or so, non-parametric versions of IV methods have a...
New contributions toward generalizing evolutionary models expand greatly our ability to analyze complex evolutionary characters and advance phylogeny reconstruction. In this art...
To manage the spread of coronavirus, health entities have urged the public to take preventive measures such as social distancing and handwashing. Yet, many appear reluctant to t...
Growth of distributed systems has attained unstoppable momentum. If we better understood how to think about, analyze, and design distributed systems, we could direct their imple...
Evolutionary biologists have introduced numerous statistical approaches to explore nonvertical evolution, such as horizontal gene transfer, recombination, and genomic reassortme...
Linear mixed effects model (LMEM) is efficient in modeling repeated measures longitudinal data. However, little research has been done in developing goodness-of-fit measures tha...
Abstract We consider the problem of interpreting categorical regression models, such as the polytomous logistic model, the continuationāratio model, the stereotype model, and th...
Holland (1989, Biometrics 45, 1009-1016) gave simple formulas for an "adjusted" risk difference based on the Mantel-Haenszel odds ratio estimator and its variance. This "adjuste...
The concept of preference is of primary importance in psychology. It has had an implicit role in almost every psychological theory, but no major efforts have been directed towar...