TreatmentSelection 1.1.3 ======================== * tweaked estimation of Var(Delta) for subcohort designs. TreatmentSelection 1.1.2 ======================== * added plot.type 'selection impact'. see ?plot.trtsel for more information. * fixed a small bug that caused warnings when plotting a trtsel object created from providing fixed risk estimates. TreatmentSelection 1.1.1 ======================== * eval.trtsel: modeled estimates of event rates calculated for subcohort designs had a bug. Calculations now are correct. * eval.trtsel: also fixed bug where event rates werent calculated when bootstraps = 0. * eval.trtsel: fixed event rate labeling bug that swapped trt all for trt none. * plot.trtsel: added new plot.type that plots event rate under different marker based treatment assignment rules vs. F_delta(v). * plot.trtsel: the mean trt effect line for subcohort designs was not weighted correctly. this has been fixed for continuous and discrete markers. * plot.trtsel: fixed a bug building plots for subcohort designs with discrete markers * fixed various small things so that the package now has no warnings from R CMD Check * added manual files for tsdata_scc and tsdata_cc * calibrate.trtsel: fixed bug when calibrating models fit using stratified case-control data. TreatmentSelection 2.0.3 ======================== Note: This is a large update with many changes. Although, the estimation methods remain the same, many of the functions inputs have changed. This is to accomodate multivariate models and survival outcomes. - Addition of 'trtsel_measures': a simple function for evaluating the performance of a user-specified marker-based treatment rule. - Input formulas into trtsel objects instead of univariate marker information. This allows for the evaluation of multivariate models. - The package now allows for survival outcomes. - Bias-correction to adjust for over-optimism that comes from evaluating models on the same data that were used to fit model parameters. `eval.trtsel` and `compare.trtsel` now implements a bootstrap bias-correction method. TreatmentSelection 2.0.4 ======================== - adjusted estimate of event rate under marker-based trt. TreatmentSelection 2.1.0 ======================== Two key additions: - allow continuous and time-to-event outcomes - allow a user to evaluate models with more than one marker One minor additions: - updated the estimator of event rate under marker based treatment. TreatmentSelection 2.1.1 ======================== - Update trtsel man files specifying that larger values of a continuous outcome should be associated with worse outcomes.