Modified Poisson Regression for Binary Outcome and Related Methods

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Documentation for package ‘rqlm’ version 4.3-1

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rqlm-package The 'rqlm' package.
bsci.ls Calculating bootstrap confidence interval for modified least-squares regression based on the quasi-score statistic
bsci.pois Calculating bootstrap confidence interval for modified Poisson regression based on the quasi-score statistic
coeff Computation of the ordinary confidence intervals and P-values using the model variance estimator
exdata01 A simulated example dataset
exdata02 A simulated example dataset
exdata03 A simulated example dataset with missing covariates
exdata04 A simulated example dataset for target trial emulation
mch A cluster-randomised trial dataset for the maternal and child health handbook
mi_glm Multiple imputation analysis for the generalized linear model
mi_rqlm Multiple imputation analysis for modified Poisson and least-squares regressions
qesci.ls Calculating confidence interval for modified least-squares regression based on the quasi-score test
qesci.pois Calculating confidence interval for modified Poisson regression based on the quasi-score test
qlogist Augmented (modified) logistic regression analyses for estimating risk ratio
rqlm Modified Poisson and least-squares regression analyses for binary outcomes
stabwt Calculating stabilized weights for IPW analysis: Single time point
stabwtlong Calculating stabilized weights for IPW analysis: Longitudinal data
stabwtmulti Calculating stabilized weights for IPW analysis: Single time point (for more than 3 groups)
SumStat Creating summary table for IPTW analysis using stabilized weights
ttemsm Pooled logistic regression for target trial emulation