- Optimizing matching and analysis combinations for estimating ...🔍
- Granger causality🔍
- Identification of in|sample positivity violations using regression trees🔍
- Causal Analysis in Theory and Practice » Causal Effect🔍
- Brain structures as potential mediators of the causal effect of COVID ...🔍
- The last decade of air pollution epidemiology and the challenges of ...🔍
- Facts and figures🔍
- Coronavirus disease 2019 🔍
Addressing Positivity Violations in Causal Effect Estimation using ...
Optimizing matching and analysis combinations for estimating ...
... violations in the positivity assumption. ... simcausal R package: conducting transparent reproducible simulation studies of causal effect ...
The Granger causality test is a statistical hypothesis test for determining whether one time series is useful in forecasting another, first proposed in 1969 ...
Identification of in-sample positivity violations using regression trees
Background The positivity assumption is crucial when drawing causal inferences from observational studies, but it is often overlooked in practice. A violation ...
Causal Analysis in Theory and Practice » Causal Effect
Estimation of effects of sequential treatments by reparameterizing directed acyclic graphs. ... addressed. A3. 2015 Atlantic Causal ...
Brain structures as potential mediators of the causal effect of COVID ...
Linkage disequilibrium score regression (LDSC) is instrumental in identifying potential confounders and estimating heritability in GWAS results.
The last decade of air pollution epidemiology and the challenges of ...
Conducting an HIA requires a causality ... Precision of effect estimates: Scrutinise the precision of effect estimates provided by the systematic ...
Facts and figures: Women's leadership and political participation
The five most commonly held portfolios by women Cabinet Ministers are Women and gender equality, followed by Family and children affairs, Social ...
Coronavirus disease 2019 (COVID-19) - Symptoms and causes
Coronavirus disease 2019 (COVID-19) is an illness caused by the virus SARS-CoV-2. Learn more about the symptoms, risks and ways to protect ...
Child maltreatment - World Health Organization (WHO)
In armed conflict and refugee settings, girls are particularly vulnerable to sexual violence, exploitation and abuse by combatants, security ...
The Gut Microbiota and Its Metabolites and Their Association with ...
Multivariable MR (MVMR) was used to estimate the effects of body mass index (BMI) and alcohol consumption frequency on causality. Results: The outcomes were ...
Ideally, a greater amount of uncertainty about the causal effect estimate should be reflected in such situations. With that goal in mind, we construct a ...
A genome-wide cross-trait analysis identifying shared genetic basis ...
Results: Through bidirectional MR analysis, we observed a positive causal effect of AIH(ORIVW=1.09, PIVW=1.00×10-3) and RA (ORIVW=1.47, PIVW<1.00×10-4) on HIC ...
Discover UCL's staff and doctoral researchers. Find out about their research and teaching activities, collaborations, publications and more.
Speech by Chair Powell on the economic outlook
Today, I will begin by addressing the current economic situation and the path ahead for monetary policy. ... "The Causal Effects of Global Supply ...
Responsible AI Practices - Google AI
Google AI is committed to developing and using artificial intelligence responsibly. We have a set of AI principles that guide our work, ...
Reference Collection to push back against "Common Statistical Myths"
Covariate adjustment of treatment effects in clinical trials. Controlled Clin Trials 1991; 12: 359-366. Neuhaus JM. Estimation Efficiency with ...
Evaluating Positivity Methods in Causal Inference - Dataiku Blog
The most common method is estimating P(T = 1 | x) using a classifier such as logistic regression and classifying positivity violations as all values P(T = 1 | ...
Politicians on corporate boards and the cost of public procurement
To address these questions, we draw on recent research using a detailed ... Note: Price effect measured in relative percentage terms with ...
Dyslexia: What It Is, Causes, Symptoms, Treatment & Types
Dyslexia is a learning disability that disrupts how your brain processes written language. People with dyslexia have trouble with reading and related skills.
Assessment of Racial Bias within the Risk Analysis Index of Frailty
Using the current, clinical threshold, the RAI performed as good or better among Black cases across various performance metrics versus White. When a higher ...