Di Salvo, Lauren Barmanray, Rahul D Andrews, Evelyn Kyi, Mervyn Fazio, Timothy N Lowe, Julia Fourlanos, Spiros
Published in
Canadian journal of diabetes
The Hypoglycaemia During Hospitalization (HyDHo) score predicts hypoglycaemia in a population of Canadian inpatients by assigning various weightings to five key clinical criteria known at the time of admission: age, recent presentation to an emergency department, insulin use, oral hypoglycaemic use, and chronic kidney disease. The aim of the presen...
Handley, Margaret A Lyles, Courtney R McCulloch, Charles Cattamanchi, Adithya
Interventional researchers face many design challenges when assessing intervention implementation in real-world settings. Intervention implementation requires holding fast on internal validity needs while incorporating external validity considerations (such as uptake by diverse subpopulations, acceptability, cost, and sustainability). Quasi-experim...
Scelo, Ghislaine Zugna, Daniela Popovic, Maja Strandberg-Larsen, Katrine Richiardi, Lorenzo
Published in
Frontiers in Epidemiology
In the medical domain, substantial effort has been invested in generating internally valid estimates in experimental as well as observational studies, but limited effort has been made in testing generalizability, or external validity. Testing the external validity of scientific findings is nevertheless crucial for the application of knowledge acros...
Yudkin, Joshua S Koym, Kelsey Hamad, Yasmin Malthaner, Lauren Q Burgess, Rebecca Meredith Ortiz, Leslie N Dhurjati, Nalini Mitha, Sharmin Calvi, Gabriela Hill, Kristina
...
Published in
Translational behavioral medicine
Pediatric weight management research focused on primary care centers for children ages 6–12 in the USA has typically focused on assessing the effectiveness of the intervention rather than how to translate and disseminate such interventions into different settings for diverse populations, or external validity. Using the Reach, Efficacy/Effectiveness...
Colnet, Bénédicte Mayer, Imke Chen, Guanhua Dieng, Awa Li, Ruohong Varoquaux, Gaël Vert, Jean-Philippe Josse, Julie Yang, Shu
With increasing data availability, causal effects can be evaluated across different data sets, both randomized controlled trials (RCTs) and observational studies. RCTs isolate the effect of the treatment from that of unwanted (confounding) co-occurring effects but they may suffer from un- representativeness, and thus lack external validity. On the ...
Degtiar, Irina Layton, Tim Wallace, Jacob Rose, Sherri
Published in
Biometrics
While much of the causal inference literature has focused on addressing internal validity biases, both internal and external validity are necessary for unbiased estimates in a target population of interest. However, few generalizability approaches exist for estimating causal quantities in a target population that is not well-represented by a random...
Trafimow, David
Published in
Perspectives on psychological science : a journal of the Association for Psychological Science
Researchers have been concerned with internal and external validity for decades, and the discussion continues. The present proposal is that there are less important and more important senses in which one can interpret internal and external validity, and these can be integrated with a taxonomy that includes theoretical, auxiliary, statistical, and i...
Brauer, Markus Kennedy, Kevin R.
Published in
Frontiers in Social Psychology
Following Douglas Mook's lead we distinguish between research on “effects that can be made to occur” and research on “effects that do occur” and argue that both can contribute to the advancement of knowledge. We further suggest that current social psychological research focuses too much on the former type of effects. Given the discipline's emphasis...
Brand, Jennie E. Zhou, Xiang Xie, Yu
This article reviews recent advances in causal inference relevant to sociology. We focus on a selective subset of contributions aligning with four broad topics: causal effect identification and estimation in general, causal effect heterogeneity, causal effect mediation, and temporal and spatial interference. We describe how machine learning, as an ...
Brand, Jennie E Zhou, Xiang Xie, Yu
This article reviews recent advances in causal inference relevant to sociology. We focus on a selective subset of contributions aligning with four broad topics: causal effect identification and estimation in general, causal effect heterogeneity, causal effect mediation, and temporal and spatial interference. We describe how machine learning, as an ...