# Biomedical Statistics and Informatics Software Packages

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Software Packages
Division Overview
R Shiny Applications

## 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

## uagreemt

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

## vmatch

Computerized matching of cases to controls using variable optimal matching.