convertToTimeVaryingCoef: Convert short sparse covariate table to long sparse covariate...

In OHDSI/Cyclops: Cyclic Coordinate Descent for Logistic, Poisson and Survival Analysis

Convert short sparse covariate table to long sparse covariate table for time-varying coefficients.

Description

convertToTimeVaryingCoef convert short sparse covariate table to long sparse covariate table for time-varying coefficients.

Usage

convertToTimeVaryingCoef(shortCov, longOut, timeVaryCoefId)

Arguments

shortCov	A data frame containing the covariate with predefined columns (see below).
longOut	A data frame containing the outcomes with predefined columns (see below), output of splitTime.
timeVaryCoefId	Integer: A numeric identifier of a time-varying coefficient

Details

These columns are expected in the shortCov object:

⁠rowId⁠	(integer)	Row ID is used to link multiple covariates (x) to a single outcome (y)
⁠covariateId⁠	(integer)	A numeric identifier of a covariate
⁠covariateValue⁠	(real)	The value of the specified covariate

These columns are expected in the longOut object:

⁠stratumId⁠	(integer)	Stratum ID for time-varying models
⁠subjectId⁠	(integer)	Subject ID is used to link multiple covariates (x) at different time intervals to a single subject
⁠rowId⁠	(integer)	Row ID is used to link multiple covariates (x) to a single outcome (y)
⁠y⁠	(real)	The outcome variable
⁠time⁠	(real)	For models that use time (e.g. Poisson or Cox regression) this contains time
		(e.g. number of days)

Value

A long sparse covariate table for time-varying coefficients.

OHDSI/Cyclops documentation built on Feb. 9, 2024, 9:03 a.m.