test.R
#> asaur::pharmacoSmoking
#> Relative Efficiency: 1.14
#> term estimate stderr pvalue method corr
#> 1 Surv(time = ttr, event = relapse) -0.538 0.20 0.0074 PATED NA
#> 2 Surv(time = ttr, event = relapse) -0.605 0.21 0.0048 Standard 1.0000
#> 3 age 2.170 2.11 0.3030 Prognostic -0.2144
#> 4 yearsSmoking 1.963 2.08 0.3461 Prognostic -0.1494
#> 5 priorAttempts 15.514 16.35 0.3426 Prognostic 0.0187
#> 6 longestNoSmoke 116.806 192.25 0.5435 Prognostic -0.1463
#> 7 gender 0.074 0.38 0.8438 Prognostic -0.0740
#> 8 I(race == "black") -0.543 0.40 0.1717 Prognostic 0.0816
#> 9 I(race == "hispanic") 0.051 0.73 0.9443 Prognostic -0.0420
#> 10 I(race == "white") 0.467 0.37 0.2108 Prognostic -0.0243
#> 11 I(employment == "ft") -0.149 0.36 0.6821 Prognostic -0.1217
#> 12 I(employment == "pt") 0.054 0.57 0.9244 Prognostic 0.1133
#> 13 I(levelSmoking == "heavy") 0.089 0.40 0.8231 Prognostic -0.0067test.R
#> coin::glioma
#> Relative Efficiency: 1.66
#> term estimate stderr pvalue method corr
#> 1 Surv(time = time, event = event) -1.423 0.36 7.1e-05 PATED NA
#> 2 Surv(time = time, event = event) -1.829 0.46 7.4e-05 Standard 1.00
#> 3 age -3.272 4.67 4.8e-01 Prognostic 0.33
#> 4 sex 0.095 0.67 8.9e-01 Prognostic 0.13
#> 5 I(histology == "GBM") -1.012 0.69 1.4e-01 Prognostic 0.59test.R
#> iBST::burn
#> Relative Efficiency: 1.15
#> term estimate stderr pvalue method corr
#> 1 Surv(time = T3, event = D3) -0.582 0.27 0.034 PATED NA
#> 2 Surv(time = T3, event = D3) -0.561 0.29 0.056 Standard 1.000
#> 3 Z2 -0.083 0.39 0.832 Prognostic -0.149
#> 4 Z3 0.088 0.49 0.858 Prognostic 0.215
#> 5 Z5 -0.125 0.33 0.702 Prognostic 0.029
#> 6 Z6 0.442 0.40 0.265 Prognostic 0.113
#> 7 Z7 0.821 0.46 0.074 Prognostic 0.055
#> 8 Z8 -0.256 0.33 0.438 Prognostic -0.035
#> 9 Z9 0.294 0.36 0.408 Prognostic -0.042
#> 10 Z10 -0.448 0.36 0.210 Prognostic -0.013
#> 11 I(Z11 == 1) 0.541 0.73 0.458 Prognostic -0.104
#> 12 I(Z11 == 2) -0.718 0.52 0.163 Prognostic 0.025
#> 13 I(Z11 == 3) 0.405 0.65 0.533 Prognostic 0.195
#> 14 Z4 -5.483 3.18 0.085 Prognostic 0.074test.R
#> invGauss::d.oropha.rec
#> Relative Efficiency: 1.06
#> term estimate stderr pvalue method corr
#> 1 Surv(time = time, event = status) 0.16718 0.166 0.31 PATED NA
#> 2 Surv(time = time, event = status) 0.17374 0.171 0.31 Standard 1.000
#> 3 I(sex == 1) 0.00065 0.061 0.99 Prognostic 0.050
#> 4 age -0.37169 1.572 0.81 Prognostic 0.019
#> 5 tstage -0.03691 0.117 0.75 Prognostic 0.181
#> 6 nstage 0.13222 0.171 0.44 Prognostic 0.118test.R
#> JM::aids.id
#> Relative Efficiency: 1.25
#> term estimate stderr pvalue method corr
#> 1 Surv(time = Time, event = death) -0.247 0.13 0.059 PATED NA
#> 2 Surv(time = Time, event = death) -0.210 0.15 0.150 Standard 1.00
#> 3 CD4 -0.213 0.44 0.625 Prognostic -0.40
#> 4 gender -0.016 0.31 0.959 Prognostic -0.03
#> 5 I(prevOI == "AIDS") 0.084 0.20 0.668 Prognostic 0.35
#> 6 I(AZT == "intolerance") -0.080 0.19 0.676 Prognostic -0.23test.R
#> mlr3proba::actg
#> Relative Efficiency: 1.09
#> term estimate stderr pvalue method corr
#> 1 Surv(time = time, event = event) -0.6755 0.21 0.0011 PATED NA
#> 2 Surv(time = time, event = event) -0.6844 0.22 0.0015 Standard 1.0000
#> 3 strat2 -0.0011 0.12 0.9930 Prognostic -0.1825
#> 4 sex 0.1517 0.16 0.3305 Prognostic 0.0011
#> 5 I(ivdrug == 1) 0.0328 0.16 0.8389 Prognostic 0.0398
#> 6 I(raceth == 1) 0.0665 0.12 0.5732 Prognostic 0.0048
#> 7 I(raceth == 2) -0.0183 0.13 0.8884 Prognostic -0.0435
#> 8 I(raceth == 3) -0.0774 0.15 0.6170 Prognostic 0.0264
#> 9 hemophil -0.4126 0.35 0.2389 Prognostic -0.0164
#> 10 I(karnof == 100) -0.0537 0.12 0.6656 Prognostic -0.0961
#> 11 I(karnof == 90) 0.0587 0.12 0.6196 Prognostic -0.0467
#> 12 I(karnof == 80) -0.0460 0.16 0.7759 Prognostic 0.1200
#> 13 I(karnof == 70) 0.1341 0.36 0.7091 Prognostic 0.1489
#> 14 cd4 4.3155 4.13 0.2958 Prognostic -0.1939
#> 15 priorzdv 0.1439 1.72 0.9334 Prognostic -0.0396
#> 16 age 0.0503 0.52 0.9229 Prognostic 0.0609test.R
#> joint.Cox::dataOvarian1
#> Relative Efficiency: 1.1
#> term estimate stderr pvalue method corr
#> 1 Surv(time = t.event, event = event) -0.1651 0.077 0.033 PATED NA
#> 2 Surv(time = t.event, event = event) -0.1696 0.081 0.036 Standard 1.000
#> 3 CXCL12 -0.0341 0.061 0.576 Prognostic 0.202
#> 4 NCOA3 -0.0583 0.060 0.331 Prognostic 0.154
#> 5 PDPN 0.0238 0.066 0.720 Prognostic 0.194
#> 6 TEAD1 0.0086 0.067 0.897 Prognostic 0.188
#> 7 TIMP2 0.0381 0.061 0.535 Prognostic 0.192
#> 8 YWHAB 0.0114 0.055 0.837 Prognostic 0.088test.R
#> pec::Pbc3
#> Relative Efficiency: 1.58
#> term estimate stderr pvalue method corr
#> 1 Surv(time = days, event = event) -0.193 0.17 0.25 PATED NA
#> 2 Surv(time = days, event = event) -0.059 0.21 0.78 Standard 1.0000
#> 3 sex 0.026 0.30 0.93 Prognostic 0.1432
#> 4 I(stage == 1) -0.107 0.31 0.73 Prognostic -0.2463
#> 5 I(stage == 2) -0.336 0.26 0.20 Prognostic -0.1746
#> 6 I(stage == 3) 0.168 0.28 0.55 Prognostic -0.0013
#> 7 I(stage == 4) 0.253 0.26 0.32 Prognostic 0.3682
#> 8 gibleed -0.590 0.31 0.06 Prognostic 0.1358
#> 9 age 0.142 1.06 0.89 Prognostic 0.0618
#> 10 crea -1.150 1.97 0.56 Prognostic -0.1020
#> 11 bili 6.219 7.23 0.39 Prognostic 0.4977
#> 12 alkph -12.043 80.55 0.88 Prognostic 0.0986
#> 13 asptr 2.641 5.69 0.64 Prognostic 0.2231
#> 14 weight 0.391 1.11 0.72 Prognostic -0.1465test.R
#> pec::cost
#> Relative Efficiency: 1.47
#> term estimate stderr pvalue method corr
#> 1 Surv(time = time, event = status) -1.8e-01 0.079 0.024 PATED NA
#> 2 Surv(time = time, event = status) -1.4e-01 0.095 0.140 Standard 1.000
#> 3 age 6.7e-01 0.900 0.459 Prognostic 0.417
#> 4 strokeScore -5.1e-01 1.009 0.613 Prognostic -0.268
#> 5 cholest 2.7e-02 0.118 0.819 Prognostic -0.055
#> 6 sex -1.1e-01 0.164 0.514 Prognostic 0.097
#> 7 hypTen 1.8e-01 0.173 0.301 Prognostic 0.081
#> 8 ihd -3.0e-15 0.218 1.000 Prognostic 0.133
#> 9 prevStroke -8.6e-02 0.207 0.680 Prognostic 0.145
#> 10 othDisease -2.6e-02 0.230 0.909 Prognostic 0.139
#> 11 alcohol -3.2e-01 0.175 0.068 Prognostic -0.122
#> 12 diabetes -1.6e-01 0.234 0.485 Prognostic 0.123
#> 13 smoke -2.3e-01 0.165 0.163 Prognostic -0.093
#> 14 atrialFib 3.3e-01 0.247 0.181 Prognostic 0.203
#> 15 hemor 3.0e-01 0.449 0.507 Prognostic 0.026test.R
#> pec::GBSG2
#> Relative Efficiency: 1.18
#> term estimate stderr pvalue method corr
#> 1 Surv(time = time, event = cens) -0.33 0.11 0.0039 PATED NA
#> 2 Surv(time = time, event = cens) -0.36 0.12 0.0034 Standard 1.000
#> 3 tsize -0.82 1.13 0.4696 Prognostic 0.169
#> 4 pnodes 0.19 0.43 0.6643 Prognostic 0.326
#> 5 progrec 22.29 17.84 0.2116 Prognostic -0.187
#> 6 I(tgrade == "I") 0.24 0.24 0.3305 Prognostic -0.159
#> 7 I(tgrade == "II") 0.11 0.17 0.5291 Prognostic 0.006
#> 8 I(tgrade == "III") -0.28 0.19 0.1472 Prognostic 0.123test.R
#> randomForestSRC::follic
#> Relative Efficiency: 1.11
#> term estimate stderr pvalue method corr
#> 1 Surv(time = time, event = status) -0.15 0.14 0.28 PATED NA
#> 2 Surv(time = time, event = status) -0.23 0.15 0.13 Standard 1.000
#> 3 age -2.37 1.47 0.11 Prognostic 0.311
#> 4 hgb 0.84 1.52 0.58 Prognostic -0.082test.R