NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)1
Since 2006 (last 20 years)1
Descriptor
Bayesian Statistics1
Causal Models1
Randomized Controlled Trials1
Research Problems1
Statistical Analysis1
Statistical Inference1
Source
Grantee Submission1
Author
Luke W. Miratrix1
Peng Ding1
Publication Type
Reports - Research1
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing one result Save | Export
Model-Free Causal Inference of Binary Experimental Data
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Direct linkDirect link
Peng Ding; Luke W. Miratrix – Grantee Submission, 2019
For binary experimental data, we discuss randomization-based inferential procedures that do not need to invoke any modeling assumptions. We also introduce methods for likelihood and Bayesian inference based solely on the physical randomization without any hypothetical super population assumptions about the potential outcomes. These estimators have…
Descriptors: Causal Models, Statistical Inference, Randomized Controlled Trials, Bayesian Statistics