Institute for Fiscal Studies

A primer on power and sample size calculations for randomisation inference with experimental data

This paper revisits the problem of power analysis and sample size calculations in randomised experiments.
ascopubs.org

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 ...
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 ...
The Information

Inference Provider Baseten Acquires Reinforcement Learning Startup Parsed

AI firms are getting more interested in AI that continues to learn even after it’s been trained, otherwise known as continual ...
Science Daily

Engine for Likelihood-Free Inference facilitates more effective simulation

The Engine for Likelihood-Free Inference is open to everyone, and it can help significantly reduce the number of simulator runs. The Engine for Likelihood-Free Inference is open to everyone, and it ...
The Next Platform

Where The FPGA Hits The Server Road For Inference Acceleration

There are an increasing number of ways to do machine learning inference in the datacenter, but one of the increasingly popular means of running inference workloads is the combination of traditional ...
EurekAlert!

ELFI: Engine for Likelihood-Free Inference facilitates more effective simulation

The Engine for Likelihood-Free Inference is open to everyone, and it can help significantly reduce the number of simulator runs. Researchers have succeeded in building an engine for likelihood-free ...