Software Packages

Department of Quantitative Health Sciences
Mayo Clinic Research
Formerly known as the Department of Health Sciences Research

Related links: Division Overview R Shiny Applications
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bnmlci

Exact confidence intervals for a proportion.

boot

Select bootstrap samples.

comprisk

Cumulative incidence in the presence of competing risks.

criskcox

Competing risk survival analysis with covariates.

dist

Estimates the distance matrix between two groups (e.g. cases and potential controls) on the basis of a set of X’s.

findcut

Uses the method of Contal and O’Quigley (1999) to find the best cutpoint in a continuous variable with regards to a survival outcome.

gmatch

Computerized matching of cases to controls using the greedy matching algorithm

jitplot

Produce gplot of continuous variable(y-axis) vs a group variable(x-axis) in such a way that no points are hidden.

logisuni

Univariate logistic regression model summaries with multiple dependent variables and predictors.

mccc

Computes Lin’s concordance correlation coefficient (CCC) for any number of raters.

nesttest

Conducts likelihood ratio tests for nested logistic and Cox proportional hazards models.

newsurv

Uses Graph Template Language to create a highly customizabile Kaplan-Meier curve.

nobs

This macro creates a macro variable containing the number of observations in a SAS dataset.

outsumm

Creates a single RTF file containing multiple tables created by %SUMMARY.

plotcorr

Proc Plot with correlation/regression statistics appended.

plotmat

Create a scatterplot matrix graphically displaying the bivariate relationships between a number of variables.

rocplus

Estimated Integrated Discrimination Index (IDI) and Net Reclassification Improvement (NRI) for comparison of a new risk model to an old model.

schoen

Schoenfeld residuals for proportional hazards model.

summary

Creates a table of variable summaries plus test statistics for the difference between two or more independent samples.

surv

Complete Kaplan-Meier survival analysis with printing options and logrank statistic.

survcstd

Calculates the c-statistic (concordance, discrimination index) for survived data with time dependent covariates

survlrk

Calculates logrank statatistics for the surv macro.

survlt

General survival statistics p(t), standard error, confidence limits, and median survival time, for the left-truncated survival analyses.

survplot

Creates high-quality and easily customized Kaplan-Meier plots.

symmchk

Checks for symmetry and suggests the best power transformation, if one exists, to make an asymmetric distribution symmetric

ToxT

ToxT is a combination of methods to analyze TOXicity data over Time. It can be used for adverse event data and for patient reported outcomes. It includes longitudinal mixed models, bug plots, time-to-event analyses, heatmaps, area under the curve analyses, profile analysis, comparisons at each time point, and plots over time.

uagreemt

Measures agreement, precision, accuracy, total deviation index and coverage probability.

vmatch

Computerized matching of cases to controls using variable optimal matching.