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Class: IceesStudyResult

Description: A study result that represents a result, from a supporting Study, which is specifically associated with an Integrated Clinical and Environmental Exposures Service (ICEES) knowledge assertion.
classDiagram class IceesStudyResult StudyResult <|-- IceesStudyResult IceesStudyResult : category IceesStudyResult : chi_squared_dof IceesStudyResult : chi_squared_p IceesStudyResult : chi_squared_statistic IceesStudyResult : creation_date IceesStudyResult : deprecated IceesStudyResult : description IceesStudyResult : equivalent_identifiers IceesStudyResult : fisher_exact_odds_ratio IceesStudyResult : fisher_exact_p IceesStudyResult : format IceesStudyResult : full_name IceesStudyResult : has_attribute IceesStudyResult --|> Attribute : has_attribute IceesStudyResult : id IceesStudyResult : information_content IceesStudyResult : iri IceesStudyResult : license IceesStudyResult : log_odds_ratio IceesStudyResult : log_odds_ratio_95_ci IceesStudyResult : name IceesStudyResult : provided_by IceesStudyResult : rights IceesStudyResult : synonym IceesStudyResult : total_sample_size IceesStudyResult : type IceesStudyResult : xref

Inheritance

Slots

Name Cardinality and Range Inheritance Examples
chi_squared_statistic:
The chi-squared statistic measures how much observed data deviate from expected values under the null hypothesis.
0..1
Float		 direct 26.38523077566414
chi_squared_dof:
Degrees of freedom (dof) in a chi-squared test referring to the number of values in the final calculation of a statistic that are free to vary 		0..1
Integer		 direct 1
chi_squared_p:
The chi-square p-value tells you the probability that the observed differences (or associations) in your data occurred by random chance, assuming the null hypothesis is true. 		0..1
Float		 direct 2.7967079822744063e-07
total_sample_size:
The total number of patients or participants within a sample population. 		0..1
Integer		 direct
fisher_exact_odds_ratio:
The Fisher Exact Test is used to determine whether there is a non-random association between two categorical variables in a 2×2 contingency table, especially when sample sizes are small. The odds ratio (OR) quantifies the strength of that association.
OR = 1 implies No association
OR > 1 implies Positive association (Group A more likely to have Outcome 1)
OR < 1 implies Negative association (Group A less likely to have Outcome 1) 0..1
Float		 direct 3.226188583240579
fisher_exact_p:
The Fisher exact p-value tells you the probability of observing a table as extreme as (or more extreme than) your actual data, assuming that the null hypothesis of independence is true. It's most commonly used for 2×2 contingency tables, especially when sample sizes are small or expected counts are low. 		0..1
Float		 direct 2.8581244515361156e-06
log_odds_ratio:
The natural logarithm of the odds ratio (OR), or the ratio of the odds of an event Y occurring in an exposed group versus the odds of an event Y occurring in a non-exposed group. 		0..1
Float		 direct
log_odds_ratio_95_ci:
The ninety-five percent confidence range in which the true log odds ratio for the sample population falls. To calculate the 95% confidence interval (CI) for a log odds ratio (a pair of numbers), you need the standard error (SE) of the log odds ratio. This interval helps you understand the precision of your estimate and whether the association is statistically significant. 		*
Float		 direct [0.6996904681742875, 1.6429124024089072]
license:
None 		0..1
String		 InformationContentEntity
rights:
None 		0..1
String		 InformationContentEntity
format:
None 		0..1
String		 InformationContentEntity
creation_date:
date on which an entity was created. This can be applied to nodes or edges 		0..1
Date		 InformationContentEntity
provided_by:
The value in this node property represents the knowledge provider that created or assembled the node and all of its attributes. Used internally to represent how a particular node made its way into a knowledge provider or graph. 		*
String		 NamedThing
xref:
A database cross reference or alternative identifier for a NamedThing or edge between two NamedThings. This property should point to a database record or webpage that supports the existence of the edge, or gives more detail about the edge. This property can be used on a node or edge to provide multiple URIs or CURIE cross references. 		*
Uriorcurie		 NamedThing
full_name:
a long-form human readable name for a thing 		0..1
LabelType		 NamedThing
synonym:
Alternate human-readable names for a thing 		*
LabelType		 NamedThing
information_content:
Information content (IC) value for a term, primarily from Automats. 		0..1
Float		 NamedThing
equivalent_identifiers:
A set of identifiers that are considered equivalent to the primary identifier of the entity. This attribute is used to represent a collection of identifiers that are considered equivalent to the primary identifier of an entity. These equivalent identifiers may come from different databases, ontologies, or naming conventions, but they all refer to the same underlying concept or entity. This attribute is particularly useful in data integration and interoperability scenarios, where it is important to recognize and link different representations of the same entity across various sources. 		*
Uriorcurie		 NamedThing
id:
A unique identifier for an entity. Must be either a CURIE shorthand for a URI or a complete URI 		1
String		 Entity
iri:
An IRI for an entity. This is determined by the id using expansion rules. 		0..1
IriType		 Entity
category:
Name of the high level ontology class in which this entity is categorized. Corresponds to the label for the biolink entity type class. In a neo4j database this MAY correspond to the neo4j label tag. In an RDF database it should be a biolink model class URI. This field is multi-valued. It should include values for ancestors of the biolink class; for example, a protein such as Shh would have category values biolink:Protein, biolink:GeneProduct, biolink:MolecularEntity. In an RDF database, nodes will typically have an rdf:type triples. This can be to the most specific biolink class, or potentially to a class more specific than something in biolink. For example, a sequence feature f may have a rdf:type assertion to a SO class such as TF_binding_site, which is more specific than anything in biolink. Here we would have categories {biolink:GenomicEntity, biolink:MolecularEntity, biolink:NamedThing} 		1..*
Uriorcurie		 Entity
type:
None 		*
String		 Entity
name:
A human-readable name for an attribute or entity. 		0..1
LabelType		 Entity
description:
a human-readable description of an entity 		0..1
NarrativeText		 Entity
has_attribute:
connects any entity to an attribute 		*
Attribute		 Entity
deprecated:
A boolean flag indicating that an entity is no longer considered current or valid. 		0..1
Boolean		 Entity

LinkML Source

name: icees study result
description: A study result that represents a result, from a supporting Study, which
  is specifically associated with an Integrated Clinical and Environmental Exposures
  Service (ICEES) knowledge assertion.
from_schema: https://w3id.org/biolink/biolink-model
is_a: study result
slots:
- chi squared statistic
- chi squared dof
- chi squared p
- total sample size
- fisher exact odds ratio
- fisher exact p
- log odds ratio
- log odds ratio 95 ci