Any experiment that studies causal effects must mitigate the influence of confounding variables to avoid bias in the estimate of the treatment effect. In randomized clinical trials (RCT), we do this ...

Thanks to advances in molecular sequencing, scientists have generated a wealth of data from the genome, transcriptome, proteome and metabolome. However, these "-omics" datasets are complex and there ...

Globally, immunization prevents 3.5 to 5 million deaths annually from common childhood diseases. Several observational studies evidenced that childhood immunization was linked to mothers’ Antenatal ...

The majority of recent empirical papers in operations management (OM) employ observational data to investigate the causal effects of a treatment, such as program or policy adoption. However, as ...

Prognostic genomic signatures in patients with RAS and BRAF wild-type (wt) metastatic colorectal cancer (mCRC) from the phase III study of first-line FOLFIRI/cetuximab versus FOLFIRI/cetuximab ...