Accept automatic initial estimated values or enter your own.Automatically graph curve over specified range of X values.Quantify precision of fits with SE or CI of parameters.Quantify symmetry of imprecision with Hougaard’s skewness.Ĭonfidence intervals can be symmetrical (as is traditional) or asymmetrical (which is more accurate).Runs or replicates test of adequacy of model.Report the covariance matrix or set of dependencies.Easily interpolate points from the best fit curve.Fit straight lines to two data sets and determine the intersection point and both slopes.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. Perform semi-parametric survival analysis that allows for the inclusion of additional continuous or categorical predictor variables (covariates). Calculate descriptive statistics: min, max, quartiles, mean, SD, SEM, CI, CV, skewness, kurtosis.Specify variables defining axis coordinates, color, and size.Use results in downstream applications like Principal Component Regression.Automatically generated Scree Plots, Loading Plots, Biplots, and more.Component selection via Parallel Analysis (Monte Carlo simulation), Kaiser criterion (Eigenvalue threshold), Proportion of Variance threshold, and more.Automatically generate graphs of estimated survival curves for any set of predictor variable values.
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