The Theory of Confounding
E765767
The Theory of Confounding is a foundational chapter in R.A. Fisher’s work on experimental design that explains how to manage and interpret the mixing of treatment effects with nuisance factors in statistical experiments.
All labels observed (1)
| Label | Occurrences |
|---|---|
| The Theory of Confounding canonical | 1 |
How this entity was disambiguated
This entity first appeared as the object of triple T8912937 — resolving that mention is where its identity was fixed. The disambiguator weighed these candidate entities and picked the highlighted one (or “None”, minting a new entity). This is how homonymy is resolved: the same surface form can point to different entities.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Theory of Confounding Context triple: [The Design of Experiments, hasNotableChapter, The Theory of Confounding]
-
A.
“Statistical Confluence Analysis by Means of Complete Regression Systems”
“Statistical Confluence Analysis by Means of Complete Regression Systems” is a foundational econometric work by Ragnar Frisch that develops a systematic regression-based framework for analyzing interdependent economic relationships.
-
B.
A Solution to the Ecological Inference Problem
A Solution to the Ecological Inference Problem is a influential methodological book by political scientist Gary King that introduces statistical techniques for inferring individual-level behavior from aggregate data.
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C.
Statement on p-values and statistical significance
The "Statement on p-values and statistical significance" is a landmark American Statistical Association document that clarifies the proper use and interpretation of p-values and cautions against their misuse in scientific research and decision-making.
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D.
“Sample Selection Bias as a Specification Error”
“Sample Selection Bias as a Specification Error” is a landmark econometrics paper by James Heckman that introduced the Heckman correction for dealing with non-randomly selected samples in statistical analysis.
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E.
The Architecture of Theories
The Architecture of Theories is an 1891 philosophical essay by Charles Sanders Peirce that outlines his evolutionary, realist, and scientific approach to metaphysics and the structure of scientific theories.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Theory of Confounding Target entity description: The Theory of Confounding is a foundational chapter in R.A. Fisher’s work on experimental design that explains how to manage and interpret the mixing of treatment effects with nuisance factors in statistical experiments.
-
A.
“Statistical Confluence Analysis by Means of Complete Regression Systems”
“Statistical Confluence Analysis by Means of Complete Regression Systems” is a foundational econometric work by Ragnar Frisch that develops a systematic regression-based framework for analyzing interdependent economic relationships.
-
B.
A Solution to the Ecological Inference Problem
A Solution to the Ecological Inference Problem is a influential methodological book by political scientist Gary King that introduces statistical techniques for inferring individual-level behavior from aggregate data.
-
C.
Statement on p-values and statistical significance
The "Statement on p-values and statistical significance" is a landmark American Statistical Association document that clarifies the proper use and interpretation of p-values and cautions against their misuse in scientific research and decision-making.
-
D.
“Sample Selection Bias as a Specification Error”
“Sample Selection Bias as a Specification Error” is a landmark econometrics paper by James Heckman that introduced the Heckman correction for dealing with non-randomly selected samples in statistical analysis.
-
E.
The Architecture of Theories
The Architecture of Theories is an 1891 philosophical essay by Charles Sanders Peirce that outlines his evolutionary, realist, and scientific approach to metaphysics and the structure of scientific theories.
- F. None of above. chosen
Statements (43)
| Predicate | Object |
|---|---|
| instanceOf |
book chapter
ⓘ
scientific text ⓘ work on experimental design ⓘ |
| addresses |
design of experiments with limited plot size
ⓘ
trade-off between estimability of effects and block size ⓘ |
| aimsTo |
clarify interpretation of confounded treatment comparisons
ⓘ
provide rules for constructing confounded designs ⓘ |
| associatedWith |
Fisherian experimental design
ⓘ
factorial treatment structure ⓘ randomized block designs ⓘ |
| author |
Ronald Aylmer Fisher
ⓘ
linked to:
Ronald A. Fisher
|
| describes |
aliasing of effects
ⓘ
complete confounding ⓘ confounding of treatment effects with block effects ⓘ design of factorial experiments in blocks ⓘ partial confounding ⓘ |
| explains |
conditions under which effects become indistinguishable
ⓘ
how to interpret mixed or aliased effects ⓘ how to separate treatment effects from nuisance factors ⓘ structure of confounded factorial designs ⓘ use of blocking to manage variability ⓘ |
| field |
agricultural statistics
ⓘ
experimental design ⓘ statistics ⓘ |
| hasAuthorAbbreviation |
R. A. Fisher
ⓘ
linked to:
Ronald A. Fisher
|
| hasConceptualPredecessor | blocking ⓘ |
| hasConceptualSuccessor | fractional factorial designs ⓘ |
| influenced |
agricultural field trial design
ⓘ
analysis of variance methodology ⓘ industrial experimentation practices ⓘ modern experimental design theory ⓘ |
| keyConcept |
alias structure in factorial designs
ⓘ
blocking of higher-order interactions ⓘ resolution of designs ⓘ systematic arrangement of treatments in blocks ⓘ |
| language | English ⓘ |
| mainTopic |
confounding
ⓘ
error control ⓘ factorial experiments ⓘ nuisance factors ⓘ treatment effects ⓘ |
| partOf | The Design of Experiments ⓘ |
| publicationCentury | 20th century ⓘ |
How these facts were elicited
The pipeline generated the facts above by prompting gpt-5.1 with this entity's name + description and the instruction below.
Instruction
You are a knowledge base construction expert. Given a subject entity and a description of it, return factual statements that you know for the subject as a JSON list of dictionaries(triples), where keys must be "subject", "predicate" and "object". The number of facts may be very high, between 25 to 50 or more, for very popular subjects. For less popular subjects, the number of facts can be very low, like 5 or 10. # Requirements - If you don't know the subject at all, return an empty list. - If the subject is not a named entity, return an empty list. - Include at least one triple where predicate is "instanceOf". - Do not get too wordy. - Separate several objects into multiple triples with one object.
Input
Subject: The Theory of Confounding Description of subject: The Theory of Confounding is a foundational chapter in R.A. Fisher’s work on experimental design that explains how to manage and interpret the mixing of treatment effects with nuisance factors in statistical experiments.
Referenced by (1)
Full triples — surface form annotated when it differs from this entity's canonical label.