mfp - Multivariable Fractional Polynomials
Multivariable Fractional Polynomial algorithm for model-building. Fractional polynomials are used to represent curvature in regression models. A key reference is Royston and Altman, 1994.
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6.52 score 4 stars 4 dependents 172 scripts 1.0k downloadscoxphf - Cox Regression with Firth's Penalized Likelihood
Implements Firth's penalized maximum likelihood bias reduction method for Cox regression which has been shown to provide a solution in case of monotone likelihood (nonconvergence of likelihood function), see Heinze and Schemper (2001) and Heinze and Dunkler (2008). The program fits profile penalized likelihood confidence intervals which were proved to outperform Wald confidence intervals.
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fortran
5.77 score 2 stars 1 dependents 73 scripts 1.4k downloadsSurvCorr - Correlation of Bivariate Survival Times
Estimates correlation coefficients with associated confidence limits for bivariate, partially censored survival times. Uses the iterative multiple imputation approach proposed by Schemper, Kaider, Wakounig and Heinze (2013) <doi:10.1002/sim.5874>. Provides a scatterplot function to visualize the bivariate distribution, either on the original time scale or as copula.
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2.70 score 5 scripts 237 downloads