Misc Tools of the Department of Biostatistics, EBPI, University of Zurich


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Documentation for package ‘biostatUZH’ version 1.8.0

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biostatUZH-package Misc Tools of the Department of Biostatistics, EBPI, University of Zurich
Aalpha Confidence intervals for intraclass correlation in interrater reliability
agresti Compute confidence interval for a binomial proportion via different methods
AUCbinorm Function to compute ROC curve and (bootstrap) confidence interval for AUC in the binormal model
biostatUZH Misc Tools of the Department of Biostatistics, EBPI, University of Zurich
BlandAltman Bland-Altman plot to assess agreement between two continuous variables
clopperPearson Compute confidence interval for a binomial proportion via different methods
computeICCrater Compute intraclass correlation coefficients ICC(2, 1) and ICC(3, 1)
confIntAUC Compute confidence interval for AUC
confIntAUCbinorm Function to compute ROC curve and (bootstrap) confidence interval for AUC in the binormal model
confIntDiagnostic Compute confidence intervals for operating characteristics of a diagnostic test
confIntFisherTrafo Confidence interval for correlation coefficient using Fisher's transformation
confIntICC Confidence intervals for intraclass correlation in interrater reliability
confIntIndependentAUCDiff Computes confidence interval for the difference in AUC based on two independent samples.
confIntIndependentDiagnostic Compute confidence intervals for the comparison of two diagnostic tests from unpaired data
confIntIndependentProportion Compute confidence interval for the risk difference of two independent samples
confIntKappa Confidence intervals for weighted kappa and m >= 2 raters
confIntKM_t0 Compute confidence interval for a survival curve at a fixed point
confIntMedian Compute exact confidence interval for median of a sample based on order statistics
confIntPairedAUCDiff Computes confidence interval for the difference in AUC based on two paired samples.
confIntPairedDiagnostic Compute confidence intervals for the comparison of two diagnostic tests from paired data
confIntPairedProportion Compute confidence interval for the difference of paired binomial proportions using Newcombe's method
confIntProportion Compute confidence interval for a binomial proportion via different methods
confIntRiskDiff Compute confidence interval for a risk difference
confIntRiskRatio Compute confidence interval for a risk ratio
ConvertWeibull Transformation of survreg output for the Weibull distribution
expit Logit and inverse-logit function
faganLine Fagan-Nomogram
faganPlot Fagan-Nomogram
fischdaten Data of the 'Fischstudie'
formatCI Format (Confidence) Intervals
formatPercent Format a Numeric Proportion
formatPval Format p-Values
ilogit Logit and inverse-logit function
jeffrey Compute confidence interval for a binomial proportion via different methods
jeffreys Compute confidence interval for a binomial proportion via different methods
lamAlpha Confidence intervals for intraclass correlation in interrater reliability
larynx Survival Times of Larynx Cancer Patients
logit Logit and inverse-logit function
mantelCoxHR Mantel-Cox estimator of the hazard ratio
mantelHaenszel Cochran-Mantel-Haenszel Chi-Squared Test for Count Data
McNemar Compute confidence interval for the difference of paired binomial proportions using Newcombe's method
Newcombe Compute confidence interval for the risk difference of two independent samples
paired Compute confidence interval for the difference of paired binomial proportions using Newcombe's method
plotcorr Compact Visualization of a Correlation Matrix
populationSamplePlot Plot that shows population and sample drawn from it
printResults Confidence interval for a given effect
quantileCumInc Compute arbitrary quantile of a Cumulative Incidence estimate
quantileKM Compute arbitrary quantile of a Kaplan-Meier estimate of a survival function
rootFct Confidence intervals for intraclass correlation in interrater reliability
sampleSizeMcNemar Compute sample size for McNemar test
sampleSizePhase2BinaryTest Compute sample size for a Phase 2 study of a binary test
sampleSizePhase2BinaryTestSimulated Compute sample size for a Phase 2 study of a binary test
sampleSizeWilcoxTwoSample Compute sample size for two sample Wilcoxon (Mann-Whitney) test
standardErrorAUC Standard Error of AUC
standardErrorAUCDiff Standard Error of a AUC difference
summaryROC Function to compute ROC curve and an asymptotic confidence interval for AUC
survrep Survival Analysis Results for Reports
tableOR Results table with odds ratios from logistic regression models for binary or ordinal data
tableRegression Format Coefficient Tables of Regression Models
wald Compute confidence interval for a binomial proportion via different methods
WeibullDiag Diagnostic Plot of Adequacy of Weibull Distribution
WeibullReg Weibull Regression for Survival Data
wiedat2b Data of two pancreatic Ca biomarkers
wilson Compute confidence interval for a binomial proportion via different methods