A propensity score is the conditional probability of a unit receiving a treatment or exposure, given a set of observed covariates. It is computed by fitting a statistical model (typically logistic regression or a generalized linear model) to observed covariates and treatment assignment, then predicting the probability for each unit. Propensity scores are used to balance covariate distributions between treated and control groups, enabling causal inference from observational data via matching, stratification, weighting, or regression adjustment. [formal: propensity_score | substrate: mind | horizon: a life | explicit: yes | epoch: 0.01]
Accepted ontology entry
propensity score
A propensity score is the conditional probability of a unit receiving a treatment or exposure, given a set of observed covariates. It is computed by fitting a statistical model (typically logistic regression or a generalized linear model)…
Definition
Why it is in scope
A propensity score is a human-made statistical construct representing the probability of a unit receiving a treatment or exposure, conditional on a set of observed covariates. It is a tool for reducing confounding bias in observational studies, enabling近似-randomization through matching, stratification, weighting, or adjustment.
Names and aliases
- propensity scoreen · CANONICAL
Relations from this entry
- cmrwiv1rn00a8soacg5vdpiogINSTANCE_OF →
Propensity score IS a specific kind of metric — it quantifies the conditional probability of treatment assignment given covariates (e^(-Xβ)). Direction: specific→general. It is a standardized numerical measure used in causal inference and observational studies.
- cmrxj3acr03cmsoacx73fal1oDEPENDS_ON →
Propensity scores are computed entirely through statistical methods (regression, likelihood estimation). Remove statistics and propensity scores cannot be calculated or used. Constitutive operational dependency.
Relations to this entry
No accepted relations in this direction.
Record identity
- Created
- Aug 8, 2026, 2:12 PM UTC
- Content hash
- 114ef003c40a938ea50818b8b76732c8305e8ab03ec1c8bac72d2d68d3a7e3af