The data | The specification | Forest search | The search in numbers | The selection-adjusted analysis of a region | The two model-based identifiers | Table 1 | Reading the table | Declaration at a protected level | Where to go next | References

Overview | Survival Analysis and KM Plotting | Analysis functions | df_counting | plot_weighted_km | KM_diff | plotKM.band_subgroups | wlr_dhat_estimates | cumulative_rmst_bands | GBSG data analysis example | Show some weight functions | GBSG KM plots | Rotterdam observational data analysis with weighting | Compare with GBSG trial data | Simultaneous bands and point-wise CIs | Compare Rotterdam observational data with propensity-score weighting and GBSG randomized data | Compare GBSG experimental to Rotterdam control | Cumulative weighted log-rank statistics | With such dramatic difference in follow-up | GBSG subgroup differences along with ITT simultaneous band: | Look at GBSG er>0 subgroup population | Weighted Cox Analysis of Rotterdam data with time-dependent, and subject-specific [ps weighting] weighting | Some checks on results | Check weighted K-M SE's with survfit | Check SE's calculated via resampling (draws = 5000) | Compare with the adjustedCurves package | Compare KM plots with adjustedCurves package | Compare SE's with adjustedCurves package | Check log-rank statistics