Struct EvidenceStatistic 

pub struct EvidenceStatistic {

    pub id: Option<String>,
    pub extension: Vec<Extension>,
    pub modifier_extension: Vec<Extension>,
    pub description: Option<String>,
    pub description_ext: Option<FieldExtension>,
    pub note: Vec<Option<Annotation>>,
    pub note_ext: Vec<Option<FieldExtension>>,
    pub statistic_type: Option<CodeableConcept>,
    pub statistic_type_ext: Option<FieldExtension>,
    pub category: Option<CodeableConcept>,
    pub category_ext: Option<FieldExtension>,
    pub quantity: Option<Quantity>,
    pub quantity_ext: Option<FieldExtension>,
    pub number_of_events: Option<u32>,
    pub number_of_events_ext: Option<FieldExtension>,
    pub number_affected: Option<u32>,
    pub number_affected_ext: Option<FieldExtension>,
    pub sample_size: Option<EvidenceStatisticSampleSize>,
    pub sample_size_ext: Option<FieldExtension>,
    pub attribute_estimate: Vec<Option<EvidenceStatisticAttributeEstimate>>,
    pub attribute_estimate_ext: Vec<Option<FieldExtension>>,
    pub model_characteristic: Vec<Option<EvidenceStatisticModelCharacteristic>>,
    pub model_characteristic_ext: Vec<Option<FieldExtension>>,
}

Sub-fields of the statistic field in Evidence

Fields

id: Option<String>

Unique id for inter-element referencing

Unique id for the element within a resource (for internal references). This may be any string value that does not contain spaces.

extension: Vec<Extension>

Additional content defined by implementations

May be used to represent additional information that is not part of the basic definition of the element. To make the use of extensions safe and managable, there is a strict set of governance applied to the definition and use of extensions. Though any implementer can define an extension, there is a set of requirements that SHALL be met as part of the definition of the extension.

There can be no stigma associated with the use of extensions by any application, project, or standard - regardless of the institution or jurisdiction that uses or defines the extensions. The use of extensions is what allows the FHIR specification to retain a core level of simplicity for everyone.

modifier_extension: Vec<Extension>

Extensions that cannot be ignored even if unrecognized

May be used to represent additional information that is not part of the basic definition of the element and that modifies the understanding of the element in which it is contained and/or the understanding of the containing element’s descendants. Usually modifier elements provide negation or qualification. To make the use of extensions safe and managable, there is a strict set of governance applied to the definition and use of extensions. Though any implementer can define an extension, there is a set of requirements that SHALL be met as part of the definition of the extension. Applications processing a resource are required to check for modifier extensions.

Modifier extensions SHALL NOT change the meaning of any elements on Resource or DomainResource (including cannot change the meaning of modifierExtension itself).

There can be no stigma associated with the use of extensions by any application, project, or standard - regardless of the institution or jurisdiction that uses or defines the extensions. The use of extensions is what allows the FHIR specification to retain a core level of simplicity for everyone.

description: Option<String>

Description of content

A description of the content value of the statistic.

description_ext: Option<FieldExtension>

Extension field.

note: Vec<Option<Annotation>>

Footnotes and/or explanatory notes

Footnotes and/or explanatory notes.

note_ext: Vec<Option<FieldExtension>>

Extension field.

statistic_type: Option<CodeableConcept>

StatisticType; Type of statistic, e.g., relative risk

Type of statistic, e.g., relative risk.

statistic_type_ext: Option<FieldExtension>

Extension field.

category: Option<CodeableConcept>

Associated category for categorical variable

When the measured variable is handled categorically, the category element is used to define which category the statistic is reporting.

Simple strings can be used for descriptive purposes. Exact matching to EvidenceVariable.category.name for the Evidence.variableDefinition[variableRole=measuredVariable].observed=Reference(EvidenceVariable) could facilitate validation within datasets.

category_ext: Option<FieldExtension>

Extension field.

quantity: Option<Quantity>

Statistic value

Statistic value.

quantity_ext: Option<FieldExtension>

Extension field.

number_of_events: Option<u32>

The number of events associated with the statistic

The number of events associated with the statistic, where the unit of analysis is different from numberAffected, sampleSize.knownDataCount and sampleSize.numberOfParticipants.

When the number of events is the statistic, use Evidence.statistic.quantity and set Evidence.statistic.type.coding.code=C25463 and Evidence.statistic.type.coding.display=Count. When the statistic is an Event Rate (where individual participants may have 2 or more events), use Evidence.statistic.numberOfEvents to record the total number of events rather than the number of participants with events.

number_of_events_ext: Option<FieldExtension>

Extension field.

number_affected: Option<u32>

The number of participants affected

The number of participants affected where the unit of analysis is the same as sampleSize.knownDataCount and sampleSize.numberOfParticipants.

When the number affected is the statistic, use Evidence.statistic.quantity and set Evidence.statistic.type.coding.code=C25463 and Evidence.statistic.type.coding.display=Count. When the statistic is a Proportion, use Evidence.statistic.numberAffected and enter an integer as the value. When the statistic is an Event Rate (where individual participants may have 2 or more events), use Evidence.statistic.numberAffected to record the number of participants with events rather than the total number of events.

number_affected_ext: Option<FieldExtension>

Extension field.

sample_size: Option<EvidenceStatisticSampleSize>

Number of samples in the statistic

Number of samples in the statistic.

sample_size_ext: Option<FieldExtension>

Extension field.

attribute_estimate: Vec<Option<EvidenceStatisticAttributeEstimate>>

An attribute of the Statistic

A statistical attribute of the statistic such as a measure of heterogeneity.

attribute_estimate_ext: Vec<Option<FieldExtension>>

Extension field.

model_characteristic: Vec<Option<EvidenceStatisticModelCharacteristic>>

An aspect of the statistical model

A component of the method to generate the statistic.

model_characteristic_ext: Vec<Option<FieldExtension>>

Extension field.

Implementations

impl EvidenceStatistic

pub fn builder() -> EvidenceStatisticBuilder

Start building a new instance

Trait Implementations

impl Clone for EvidenceStatistic

fn clone(&self) -> EvidenceStatistic

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for EvidenceStatistic

fn fmt(&self, f: &mut Formatter<'_>) -> Result<(), Error>

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for EvidenceStatistic

fn deserialize<__D>( __deserializer: __D, ) -> Result<EvidenceStatistic, <__D as Deserializer<'de>>::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for EvidenceStatistic

fn eq(&self, other: &EvidenceStatistic) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for EvidenceStatistic

fn serialize<__S>( &self, __serializer: __S, ) -> Result<<__S as Serializer>::Ok, <__S as Serializer>::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for EvidenceStatistic