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In this theoretical work we provide an unrestricted linear model for identifying treatment effects with time-varying qualification with panel data and repeated cross-sections. This model enables fixed and random effects estimation of treatment effects; the latter has not been considered before. In addition we identify new scenarios and respectiv…
Repository of causal inference models, with a shared syntax for users to swap between models. This repository also allows users to diagnose their causal estimates absent any ground truth measures.
KRAS-mutant pancreatic ductal adenocarcinoma (PDAC) is highly immunosuppressive and resistant to targeted therapies, immune checkpoint blockade and engineered T cells. In this study, we performed a systematic high throughput combinatorial drug screen and identified a synergistic interaction between the MEK inhibitor trametinib and the multi- kin…
This is a demonstration of how we can implement Hirano-Imbens (2004) model for estimating Average Dose Response Function under Normally distributed continuous treatment.
A modified uplift modeling technique to convert "treatment nonresponders" to "responders" is proposed through multifaceted interventions in market campaigns.