getResidualScores: Calculate residual phenotype risk scores

In phers: Calculate Phenotype Risk Scores

Calculate residual phenotype risk scores

Description

The residual score indicates to what extent a person's phenotype risk score for a given disease deviates from the expected score, after adjusting for the person's characteristics in a linear model.

Usage

getResidualScores(demos, scores, lmFormula)

Arguments

demos	A data.table of characteristics for each person in the cohort. Must have column person_id.
scores	A data.table containing the phenotype risk score for each person for each disease. Must have columns person_id, disease_id, and score.
lmFormula	A formula representing the linear model to use for calculating residual scores. All terms in the formula must correspond to columns in demos.

Value

A data.table, based on scores, with an additional column resid_score. Residual scores for each disease are standardized to have unit variance.

See Also

stats::rstandard(), getScores()

Examples

library('data.table')

# map ICD codes to phecodes
phecodeOccurrences = getPhecodeOccurrences(icdSample)

# calculate weights (using the prevalence method)
weights = getWeights(demoSample, phecodeOccurrences)

# OMIM disease IDs for which to calculate phenotype risk scores
diseaseId = 154700

# map diseases to phecodes
diseasePhecodeMap = mapDiseaseToPhecode()

# calculate scores
scores = getScores(weights, diseasePhecodeMap[disease_id == diseaseId])

# calculate residual scores
rscores = getResidualScores(demoSample, scores, lmFormula = ~ sex)

phers documentation built on March 31, 2023, 5:43 p.m.