Recommendations for presenting analyses of effect modification and interaction.

By M. Knol, Tyler J. VanderWeele. International Journal of Epidemiology, 2012

1,226 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/9682d8fb60fc21de29adc3344eaf6e9cbf58e922

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Economics and Econometrics

1. G. Bauer
2. Tyler J. VanderWeele
3. E. Sanderson
4. Kosuke Imai
5. Stijn Vansteelandt
6. Viviana Celli
7. Miguel A. Hern'an
8. Judea Pearl

In Statistics and Probability

1. G. Bauer
2. Tyler J. VanderWeele
3. M. Knol
4. Stijn Vansteelandt
5. E. Sanderson
6. Judea Pearl
7. Kosuke Imai
8. Viviana Celli

Citations in the corpus

• A Tutorial on Interaction (2014, background): “The view of this tutorial is that it is almost always best to present both additive and multiplicative measures of interaction (Botto and Khoury, 2001; Vandenbroucke et al., 2007; Knol and VanderWeele, 2012).”
• Incorporating intersectionality theory into population health research methodology: challenges and the potential to advance health equity. (2014, background): “Knol and VanderWeele (2012) provide recommendations, and even templates, for presentation of effect-measure modification and interaction results, though they assume both a causal research question and a reader’s familiarity with epidemiological terminology.”