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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 ...
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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 ...
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Causal Inference for Observational and Experimental Studies

This course is available on the MSc in Applied Social Data Science, MSc in Behavioural Science, MSc in Human Geography and Urban Studies (Research), MSc in Innovation Policy, MSc in International ...
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On categorical variables and non-parametric statistical inference in the pursuit of causal explanations

This is a preview. Log in through your library . Abstract This paper proposes a pragmatic alliance between critical realism and non-parametric statistical techniques in pursuit of causal explanations ...
HUB

Causation caution: Course teaches students to be critical evaluators of what they read

"I read it as a joke!" one student chortled. "It definitely wasn't completely serious, was it?" another asked as she shook her head in disbelief. The intimate group of nine students—which includes a ...
lse

Causal Inference for Observational and Experimental Studies

This course is available on the MSc in Applied Social Data Science, MSc in Behavioural Science, MSc in European and International Politics and Policy, MSc in European and International Politics and ...