Causal Inference in Statistics

Causal Inference in Oncology Comparative Effectiveness Research Using Observational Data: Are Instrumental Variables Underutilized?

In the article that accompanies this editorial, Lu et al 5 conducted a systematic review on the use of instrumental variable (IV) methods in oncology comparative effectiveness research. The main ...

JSTOR Daily

How to Make Causal Inferences with Time-Series Cross-Sectional Data under Selection on Observables

Repeated measurements of the same countries, people, or groups over time are vital to many fields of political science. These measurements, sometimes called time-series cross-sectional (TSCS) data, ...

JSTOR Daily

Regression and Weighting Methods for Causal Inference Using Instrumental Variables

Recent researches in econometrics and statistics have gained considerable insights into the use of instrumental variables (IVs) for causal inference. A basic idea is that IVs serve as an experimental ...

CU Boulder News & Events

Causal inference under selection on observables in operations management research: Matching methods and synthetic controls

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 ...

Diginomica

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Causal Inference in Oncology Comparative Effectiveness Research Using Observational Data: Are Instrumental Variables Underutilized?

How to Make Causal Inferences with Time-Series Cross-Sectional Data under Selection on Observables

Regression and Weighting Methods for Causal Inference Using Instrumental Variables

Causal inference under selection on observables in operations management research: Matching methods and synthetic controls

How causal analysis and AI intersect - methods of causal inference

Causal Inference for Observational and Experimental Studies

Causal Inference for Observational and Experimental Studies