Perform semi-parametric survival analysis that allows for the inclusion of additional continuous or categorical predictor variables (covariates). Perform nonparametric survival analysis for different groups, and compare the estimated survival curves for each group with the log-rank test (including test for trend).Ĭox proportional hazards regression. Fit straight lines to two data sets and determine the intersection point and both slopes.Easily interpolate points from the best fit curve.Report the covariance matrix or set of dependencies.Runs or replicates test of adequacy of model.Quantify symmetry of imprecision with Hougaard’s skewness.Confidence intervals can be symmetrical (as is traditional) or asymmetrical (which is more accurate). Quantify precision of fits with SE or CI of parameters.Automatically graph curve over specified range of X values.Accept automatic initial estimated values or enter your own.Differentially weight points by several methods and assess how well your weighting method worked.
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Kolmogorov-Smirnov test to compare two groups.Nonparametric Mann-Whitney test, including confidence interval of difference of medians.
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Automatically generate volcano plot (difference vs.Reports P values and confidence intervals.