quantsccs: Quantitative exposures in self controlled case series method

In SCCS: The Self-Controlled Case Series Method

Quantitative exposures in self controlled case series method

Description

This function fits the starndard SCCS model where the exposures are measured on a continuous scale.

Usage

quantsccs(formula, indiv, event, data)

Arguments

formula	model formula. The dependent variale should always be "event" e.g. event ~ expo, where expo is an exposure measured at each time unit.
indiv	a vector of individual identifiers of cases
event	number of events occuring at each time unit.
data	a data frame containing the input data. Data are assembled one line per time unit of observation.

Details

In this method exposures are measured at successive time points within the observation period for each case. And number of events experienced by each case at each time point are recorded.

Value

Relative incidence estimates along with their 95% confidence intervals.

Author(s)

Yonas Ghebremichael-Weldeselassie, Heather Whitaker, Paddy Farrington.

References

Farrington P., Whitaker H., and Ghebremichael-Weldeselassie Y. (2018). Self-controlled Case Series Studies: A modelling Guide with R. Boca Raton: Chapman & Hall/CRC Press.

See Also

semisccs

Examples

# Headaches and blood pressure data. sys and dia (continuoous exposures) are systolic and
# diastolic blood pressure measurements respectively

 bp.mod <- quantsccs(event~sys+dia, indiv=case, event=head,
                      data=bpdat)

 bp.mod

SCCS documentation built on July 5, 2022, 5:05 p.m.