The Self-Controlled Case Series Method

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Documentation for package ‘SCCS’ version 1.7

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SCCS-package The Self-Controlled Case Series (SCCS) Method
addat Data on NSAID and antidepressant exposure and first GI bleed
adidat Data on antidiabetics and fractures
amdat Data on MMR and aseptic meningitis
apdat Data on antipsychotics and stroke
autdat Data on MMR vaccine and autism
bpdat Data on blood pressure and headaches
bupdat Data on bupropion and sudden death
condat Data on DTP and convulsions
dtpdat Data on DTP and convulsions
eventdepenexp SCCS with event-dependent exposure
eventdepenobs SCCS with event-dependent observation periods
febdat Data on multitype convulsions and MMR
formatdata Formatting data
gbsdat Data on influenza vaccine and GBS
gidat Data on NSAID and first GI bleed
hibdat Data on DTP, Hib and convulsions
hipdat Data on antidepressants and hip fracture
intdat Data on intussusception and OPV
integrateIspline Integral of I-splines
itpdat Data on MMR and ITP
lrtsccs Likelihood ratio test for SCCS models
midat Data on respiratory tract infections and myocardial infarction
nonparasccs Spline-based non parametric SCCS method
nrtdat Data on NRT and MI
opvdat Data on OPV and intussusception
pmdat Data on asthma admissions and air pollution
quantsccs Quantitative exposures in self controlled case series method
rotdat Data on Rotavirus vaccine and intussusception
rsvdat Data on RSV and ambient temperature
samplesize Sample size calculation in SCCS
SCCS The Self-Controlled Case Series (SCCS) Method
semisccs Semiparametric self-controlled case series method
siddat Data on hexavalent vaccine and sudden infant death syndrome (SIDS)
simulatesccsdata Simulation of SCCS data
smoothagesccs Spline-based semiparametric SCCS, smooth age
smoothexposccs Spline-based semiparametric SCCS, smooth exposure
standardsccs The standard SCCS method