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Type 'q()' to quit R. > library(testthat) > library(rsimsum) > > test_check("rsimsum") Values are: Point Estimate (Monte Carlo Standard Error) Bias in point estimate: baseline n Cox Exp RP(2) Exponential 50 0.0215 (0.0328) 0.0239 (0.0326) 0.0183 (0.0331) Exponential 250 -0.0215 (0.0149) -0.0214 (0.0151) -0.0227 (0.0149) Weibull 50 -0.0282 (0.0311) 0.1509 (0.0204) -0.0348 (0.0311) Weibull 250 -0.0120 (0.0133) 0.1482 (0.0093) -0.0139 (0.0137) Values are: Point Estimate (Monte Carlo Standard Error) Bias in point estimate: baseline n Cox Exp RP(2) Exponential 50 0.0215 (0.0328) 0.0239 (0.0326) 0.0183 (0.0331) Exponential 250 -0.0215 (0.0149) -0.0214 (0.0151) -0.0227 (0.0149) Weibull 50 -0.0282 (0.0311) 0.1509 (0.0204) -0.0348 (0.0311) Weibull 250 -0.0120 (0.0133) 0.1482 (0.0093) -0.0139 (0.0137) Coverage of nominal 95% confidence interval: baseline n Cox Exp RP(2) Exponential 50 0.9500 (0.0218) 0.9400 (0.0237) 0.9500 (0.0218) Exponential 250 0.9300 (0.0255) 0.9200 (0.0271) 0.9300 (0.0255) Weibull 50 0.9700 (0.0171) 0.9900 (0.0099) 0.9500 (0.0218) Weibull 250 0.9400 (0.0237) 0.8500 (0.0357) 0.9400 (0.0237) Values are: Point Estimate (Monte Carlo Standard Error) Bias in point estimate: baseline n Cox Exp RP(2) Exponential 50 0.0215 (0.0328) 0.0239 (0.0326) 0.0183 (0.0331) Exponential 250 -0.0215 (0.0149) -0.0214 (0.0151) -0.0227 (0.0149) Weibull 50 -0.0282 (0.0311) 0.1509 (0.0204) -0.0348 (0.0311) Weibull 250 -0.0120 (0.0133) 0.1482 (0.0093) -0.0139 (0.0137) Mean squared error: baseline n Cox Exp RP(2) Exponential 50 0.1073 (0.0149) 0.1056 (0.0146) 0.1089 (0.0154) Exponential 250 0.0224 (0.0028) 0.0229 (0.0028) 0.0225 (0.0028) Weibull 50 0.0968 (0.0117) 0.0640 (0.0083) 0.0970 (0.0117) Weibull 250 0.0177 (0.0027) 0.0305 (0.0033) 0.0187 (0.0028) Coverage of nominal 95% confidence interval: baseline n Cox Exp RP(2) Exponential 50 0.9500 (0.0218) 0.9400 (0.0237) 0.9500 (0.0218) Exponential 250 0.9300 (0.0255) 0.9200 (0.0271) 0.9300 (0.0255) Weibull 50 0.9700 (0.0171) 0.9900 (0.0099) 0.9500 (0.0218) Weibull 250 0.9400 (0.0237) 0.8500 (0.0357) 0.9400 (0.0237) Values are: Point Estimate (Monte Carlo Standard Error) Parameter: fv Bias in point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma Gamma -0.0124 (0.0045) 0.2299 (0.0076) -0.0179 (0.0044) Log-Normal -0.1064 (0.0043) -0.0175 (0.0049) -0.1066 (0.0041) RP(P), Log-Normal 0.2347 (0.0077) -0.0152 (0.0050) -------------------------------------------------------------------------------- Parameter: trt Bias in point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma Gamma -0.0006 (0.0016) -0.0013 (0.0016) -0.0003 (0.0016) Log-Normal -0.0006 (0.0015) -0.0014 (0.0015) -0.0006 (0.0015) RP(P), Log-Normal -0.0015 (0.0016) -0.0016 (0.0015) Values are: Point Estimate (Monte Carlo Standard Error) Parameter: fv Bias in point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma Gamma -0.0124 (0.0045) 0.2299 (0.0076) -0.0179 (0.0044) Log-Normal -0.1064 (0.0043) -0.0175 (0.0049) -0.1066 (0.0041) RP(P), Log-Normal 0.2347 (0.0077) -0.0152 (0.0050) Coverage of nominal 95% confidence interval: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.9201 (0.0087) 0.9220 (0.0085) 0.9300 (0.0082) 0.9030 (0.0094) Log-Normal 0.7503 (0.0140) 0.9020 (0.0094) 0.7683 (0.0134) 0.9280 (0.0082) -------------------------------------------------------------------------------- Parameter: trt Bias in point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma Gamma -0.0006 (0.0016) -0.0013 (0.0016) -0.0003 (0.0016) Log-Normal -0.0006 (0.0015) -0.0014 (0.0015) -0.0006 (0.0015) RP(P), Log-Normal -0.0015 (0.0016) -0.0016 (0.0015) Coverage of nominal 95% confidence interval: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.9500 (0.0069) 0.9490 (0.0070) 0.9506 (0.0070) 0.9500 (0.0069) Log-Normal 0.9410 (0.0075) 0.9420 (0.0074) 0.9428 (0.0074) 0.9430 (0.0073) Values are: Point Estimate (Monte Carlo Standard Error) Parameter: fv Bias in point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma Gamma -0.0124 (0.0045) 0.2299 (0.0076) -0.0179 (0.0044) Log-Normal -0.1064 (0.0043) -0.0175 (0.0049) -0.1066 (0.0041) RP(P), Log-Normal 0.2347 (0.0077) -0.0152 (0.0050) Mean squared error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0203 (0.0010) 0.1107 (0.0055) 0.0195 (0.0009) 0.1145 (0.0057) Log-Normal 0.0287 (0.0010) 0.0244 (0.0011) 0.0284 (0.0010) 0.0248 (0.0012) Coverage of nominal 95% confidence interval: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.9201 (0.0087) 0.9220 (0.0085) 0.9300 (0.0082) 0.9030 (0.0094) Log-Normal 0.7503 (0.0140) 0.9020 (0.0094) 0.7683 (0.0134) 0.9280 (0.0082) -------------------------------------------------------------------------------- Parameter: trt Bias in point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma Gamma -0.0006 (0.0016) -0.0013 (0.0016) -0.0003 (0.0016) Log-Normal -0.0006 (0.0015) -0.0014 (0.0015) -0.0006 (0.0015) RP(P), Log-Normal -0.0015 (0.0016) -0.0016 (0.0015) Mean squared error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0026 (0.0001) 0.0026 (0.0001) 0.0026 (0.0001) 0.0026 (0.0001) Log-Normal 0.0022 (0.0001) 0.0022 (0.0001) 0.0022 (0.0001) 0.0022 (0.0001) Coverage of nominal 95% confidence interval: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.9500 (0.0069) 0.9490 (0.0070) 0.9506 (0.0070) 0.9500 (0.0069) Log-Normal 0.9410 (0.0075) 0.9420 (0.0074) 0.9428 (0.0074) 0.9430 (0.0073) Values are: Point Estimate Parameter: fv Non-missing point estimates/standard errors: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 976 1000 971 1000 Log-Normal 957 1000 997 1000 Average point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.7376 0.9799 0.7321 0.9847 Log-Normal 0.6436 0.7325 0.6434 0.7348 Median point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.7271 0.9566 0.7225 0.9597 Log-Normal 0.6365 0.7182 0.6324 0.7199 Average variance: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0203 0.0600 0.0202 0.0498 Log-Normal 0.0156 0.0230 0.0158 0.0254 Median variance: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0193 0.0483 0.0191 0.0442 Log-Normal 0.0149 0.0206 0.0149 0.0235 Bias in point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma -0.0124 0.2299 -0.0179 0.2347 Log-Normal -0.1064 -0.0175 -0.1066 -0.0152 Relative bias in point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma -0.0165 0.3066 -0.0239 0.3130 Log-Normal -0.1419 -0.0233 -0.1421 -0.0203 Empirical standard error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.1421 0.2406 0.1387 0.2438 Log-Normal 0.1320 0.1554 0.1307 0.1570 % gain in precision relative to method Cox, Gamma: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0000 -65.1290 5.0048 -66.0342 Log-Normal 0.0000 -27.8283 2.0492 -29.3058 Mean squared error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0203 0.1107 0.0195 0.1145 Log-Normal 0.0287 0.0244 0.0284 0.0248 Model-based standard error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.1426 0.2449 0.1420 0.2232 Log-Normal 0.1249 0.1517 0.1258 0.1594 Relative % error in standard error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.3574 1.7896 2.3922 -8.4531 Log-Normal -5.3912 -2.3382 -3.7112 1.5422 Coverage of nominal 95% confidence interval: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.9201 0.9220 0.9300 0.9030 Log-Normal 0.7503 0.9020 0.7683 0.9280 Bias-eliminated coverage of nominal 95% confidence interval: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.9334 0.8980 0.9434 0.8930 Log-Normal 0.9164 0.9130 0.9308 0.9360 Power of 5% level test: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 1.0000 1.0000 1.0000 1.0000 Log-Normal 1.0000 1.0000 1.0000 1.0000 -------------------------------------------------------------------------------- Parameter: trt Non-missing point estimates/standard errors: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 1000 1000 971 1000 Log-Normal 1000 1000 997 1000 Average point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma -0.5006 -0.5013 -0.5003 -0.5015 Log-Normal -0.5006 -0.5014 -0.5006 -0.5016 Median point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma -0.5011 -0.5021 -0.5010 -0.5025 Log-Normal -0.5014 -0.5021 -0.5014 -0.5022 Average variance: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0026 0.0026 0.0026 0.0026 Log-Normal 0.0023 0.0023 0.0023 0.0023 Median variance: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0026 0.0026 0.0026 0.0026 Log-Normal 0.0022 0.0022 0.0022 0.0022 Bias in point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma -0.0006 -0.0013 -0.0003 -0.0015 Log-Normal -0.0006 -0.0014 -0.0006 -0.0016 Relative bias in point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0011 0.0027 0.0006 0.0031 Log-Normal 0.0012 0.0028 0.0013 0.0032 Empirical standard error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0508 0.0509 0.0506 0.0509 Log-Normal 0.0474 0.0474 0.0473 0.0474 % gain in precision relative to method Cox, Gamma: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0000 -0.4457 0.4394 -0.5782 Log-Normal 0.0000 -0.1417 0.0918 -0.2078 Mean squared error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0026 0.0026 0.0026 0.0026 Log-Normal 0.0022 0.0022 0.0022 0.0022 Model-based standard error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0506 0.0507 0.0506 0.0507 Log-Normal 0.0475 0.0475 0.0475 0.0475 Relative % error in standard error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma -0.2017 -0.3890 -0.0544 -0.4330 Log-Normal 0.2507 0.1815 0.3319 0.2101 Coverage of nominal 95% confidence interval: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.9500 0.9490 0.9506 0.9500 Log-Normal 0.9410 0.9420 0.9428 0.9430 Bias-eliminated coverage of nominal 95% confidence interval: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.9500 0.9500 0.9506 0.9490 Log-Normal 0.9420 0.9400 0.9428 0.9410 Power of 5% level test: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 1.0000 1.0000 1.0000 1.0000 Log-Normal 1.0000 1.0000 1.0000 1.0000 Values are: Point Estimate Parameter: fv Non-missing point estimates/standard errors: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 976 1000 971 1000 Log-Normal 957 1000 997 1000 Average point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.7376 0.9799 0.7321 0.9847 Log-Normal 0.6436 0.7325 0.6434 0.7348 Median point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.7271 0.9566 0.7225 0.9597 Log-Normal 0.6365 0.7182 0.6324 0.7199 Average variance: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0203 0.0600 0.0202 0.0498 Log-Normal 0.0156 0.0230 0.0158 0.0254 Median variance: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0193 0.0483 0.0191 0.0442 Log-Normal 0.0149 0.0206 0.0149 0.0235 Bias in point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma -0.0124 0.2299 -0.0179 0.2347 Log-Normal -0.1064 -0.0175 -0.1066 -0.0152 Relative bias in point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma -0.0165 0.3066 -0.0239 0.3130 Log-Normal -0.1419 -0.0233 -0.1421 -0.0203 Empirical standard error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.1421 0.2406 0.1387 0.2438 Log-Normal 0.1320 0.1554 0.1307 0.1570 % gain in precision relative to method Cox, Gamma: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0000 -65.1290 5.0048 -66.0342 Log-Normal 0.0000 -27.8283 2.0492 -29.3058 Mean squared error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0203 0.1107 0.0195 0.1145 Log-Normal 0.0287 0.0244 0.0284 0.0248 Model-based standard error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.1426 0.2449 0.1420 0.2232 Log-Normal 0.1249 0.1517 0.1258 0.1594 Relative % error in standard error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.3574 1.7896 2.3922 -8.4531 Log-Normal -5.3912 -2.3382 -3.7112 1.5422 Coverage of nominal 95% confidence interval: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.9201 0.9220 0.9300 0.9030 Log-Normal 0.7503 0.9020 0.7683 0.9280 Bias-eliminated coverage of nominal 95% confidence interval: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.9334 0.8980 0.9434 0.8930 Log-Normal 0.9164 0.9130 0.9308 0.9360 Power of 5% level test: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 1.0000 1.0000 1.0000 1.0000 Log-Normal 1.0000 1.0000 1.0000 1.0000 -------------------------------------------------------------------------------- Parameter: trt Non-missing point estimates/standard errors: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 1000 1000 971 1000 Log-Normal 1000 1000 997 1000 Average point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma -0.5006 -0.5013 -0.5003 -0.5015 Log-Normal -0.5006 -0.5014 -0.5006 -0.5016 Median point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma -0.5011 -0.5021 -0.5010 -0.5025 Log-Normal -0.5014 -0.5021 -0.5014 -0.5022 Average variance: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0026 0.0026 0.0026 0.0026 Log-Normal 0.0023 0.0023 0.0023 0.0023 Median variance: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0026 0.0026 0.0026 0.0026 Log-Normal 0.0022 0.0022 0.0022 0.0022 Bias in point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma -0.0006 -0.0013 -0.0003 -0.0015 Log-Normal -0.0006 -0.0014 -0.0006 -0.0016 Relative bias in point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0011 0.0027 0.0006 0.0031 Log-Normal 0.0012 0.0028 0.0013 0.0032 Empirical standard error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0508 0.0509 0.0506 0.0509 Log-Normal 0.0474 0.0474 0.0473 0.0474 % gain in precision relative to method Cox, Gamma: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0000 -0.4457 0.4394 -0.5782 Log-Normal 0.0000 -0.1417 0.0918 -0.2078 Mean squared error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0026 0.0026 0.0026 0.0026 Log-Normal 0.0022 0.0022 0.0022 0.0022 Model-based standard error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0506 0.0507 0.0506 0.0507 Log-Normal 0.0475 0.0475 0.0475 0.0475 Relative % error in standard error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma -0.2017 -0.3890 -0.0544 -0.4330 Log-Normal 0.2507 0.1815 0.3319 0.2101 Coverage of nominal 95% confidence interval: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.9500 0.9490 0.9506 0.9500 Log-Normal 0.9410 0.9420 0.9428 0.9430 Bias-eliminated coverage of nominal 95% confidence interval: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.9500 0.9500 0.9506 0.9490 Log-Normal 0.9420 0.9400 0.9428 0.9410 Power of 5% level test: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 1.0000 1.0000 1.0000 1.0000 Log-Normal 1.0000 1.0000 1.0000 1.0000 Values are: Point Estimate Parameter: fv Non-missing point estimates/standard errors: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 976 1000 971 1000 Log-Normal 957 1000 997 1000 Average point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.7376 0.9799 0.7321 0.9847 Log-Normal 0.6436 0.7325 0.6434 0.7348 Median point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.7271 0.9566 0.7225 0.9597 Log-Normal 0.6365 0.7182 0.6324 0.7199 Average variance: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0203 0.0600 0.0202 0.0498 Log-Normal 0.0156 0.0230 0.0158 0.0254 Median variance: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0193 0.0483 0.0191 0.0442 Log-Normal 0.0149 0.0206 0.0149 0.0235 Bias in point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma -0.0124 0.2299 -0.0179 0.2347 Log-Normal -0.1064 -0.0175 -0.1066 -0.0152 Relative bias in point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma -0.0165 0.3066 -0.0239 0.3130 Log-Normal -0.1419 -0.0233 -0.1421 -0.0203 Empirical standard error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.1421 0.2406 0.1387 0.2438 Log-Normal 0.1320 0.1554 0.1307 0.1570 % gain in precision relative to method Cox, Gamma: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0000 -65.1290 5.0048 -66.0342 Log-Normal 0.0000 -27.8283 2.0492 -29.3058 Mean squared error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0203 0.1107 0.0195 0.1145 Log-Normal 0.0287 0.0244 0.0284 0.0248 Model-based standard error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.1426 0.2449 0.1420 0.2232 Log-Normal 0.1249 0.1517 0.1258 0.1594 Relative % error in standard error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.3574 1.7896 2.3922 -8.4531 Log-Normal -5.3912 -2.3382 -3.7112 1.5422 Coverage of nominal 95% confidence interval: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.9201 0.9220 0.9300 0.9030 Log-Normal 0.7503 0.9020 0.7683 0.9280 Bias-eliminated coverage of nominal 95% confidence interval: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.9334 0.8980 0.9434 0.8930 Log-Normal 0.9164 0.9130 0.9308 0.9360 Power of 5% level test: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 1.0000 1.0000 1.0000 1.0000 Log-Normal 1.0000 1.0000 1.0000 1.0000 -------------------------------------------------------------------------------- Parameter: trt Non-missing point estimates/standard errors: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 1000 1000 971 1000 Log-Normal 1000 1000 997 1000 Average point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma -0.5006 -0.5013 -0.5003 -0.5015 Log-Normal -0.5006 -0.5014 -0.5006 -0.5016 Median point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma -0.5011 -0.5021 -0.5010 -0.5025 Log-Normal -0.5014 -0.5021 -0.5014 -0.5022 Average variance: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0026 0.0026 0.0026 0.0026 Log-Normal 0.0023 0.0023 0.0023 0.0023 Median variance: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0026 0.0026 0.0026 0.0026 Log-Normal 0.0022 0.0022 0.0022 0.0022 Bias in point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma -0.0006 -0.0013 -0.0003 -0.0015 Log-Normal -0.0006 -0.0014 -0.0006 -0.0016 Relative bias in point estimate: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0011 0.0027 0.0006 0.0031 Log-Normal 0.0012 0.0028 0.0013 0.0032 Empirical standard error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0508 0.0509 0.0506 0.0509 Log-Normal 0.0474 0.0474 0.0473 0.0474 % gain in precision relative to method Cox, Gamma: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0000 -0.4457 0.4394 -0.5782 Log-Normal 0.0000 -0.1417 0.0918 -0.2078 Mean squared error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0026 0.0026 0.0026 0.0026 Log-Normal 0.0022 0.0022 0.0022 0.0022 Model-based standard error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.0506 0.0507 0.0506 0.0507 Log-Normal 0.0475 0.0475 0.0475 0.0475 Relative % error in standard error: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma -0.2017 -0.3890 -0.0544 -0.4330 Log-Normal 0.2507 0.1815 0.3319 0.2101 Coverage of nominal 95% confidence interval: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.9500 0.9490 0.9506 0.9500 Log-Normal 0.9410 0.9420 0.9428 0.9430 Bias-eliminated coverage of nominal 95% confidence interval: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 0.9500 0.9500 0.9506 0.9490 Log-Normal 0.9420 0.9400 0.9428 0.9410 Power of 5% level test: fv_dist Cox, Gamma Cox, Log-Normal RP(P), Gamma RP(P), Log-Normal Gamma 1.0000 1.0000 1.0000 1.0000 Log-Normal 1.0000 1.0000 1.0000 1.0000 Values are: Point Estimate Non-missing point estimates/standard errors: CC MI_LOGT MI_T 1000 1000 1000 Average point estimate: CC MI_LOGT MI_T 0.5168 0.5009 0.4988 Median point estimate: CC MI_LOGT MI_T 0.5070 0.4969 0.4939 Average variance: CC MI_LOGT MI_T 0.0216 0.0182 0.0179 Median variance: CC MI_LOGT MI_T 0.0211 0.0172 0.0169 Bias in point estimate: CC MI_LOGT MI_T 0.0168 0.0009 -0.0012 Relative bias in point estimate: CC MI_LOGT MI_T 0.0335 0.0018 -0.0024 Empirical standard error: CC MI_LOGT MI_T 0.1511 0.1320 0.1344 % gain in precision relative to method CC: CC MI_LOGT MI_T 0.0000 31.0463 26.3682 Mean squared error: CC MI_LOGT MI_T 0.0231 0.0174 0.0181 Model-based standard error: CC MI_LOGT MI_T 0.1471 0.1349 0.1338 Relative % error in standard error: CC MI_LOGT MI_T -2.6594 2.2233 -0.4412 Coverage of nominal 95% confidence interval: CC MI_LOGT MI_T 0.9430 0.9490 0.9430 Bias-eliminated coverage of nominal 95% confidence interval: CC MI_LOGT MI_T 0.9400 0.9490 0.9430 Power of 5% level test: CC MI_LOGT MI_T 0.9460 0.9690 0.9630 Values are: Point Estimate Non-missing point estimates/standard errors: CC MI_LOGT MI_T 1000 1000 1000 Average point estimate: CC MI_LOGT MI_T 0.5168 0.5009 0.4988 Median point estimate: CC MI_LOGT MI_T 0.5070 0.4969 0.4939 Average variance: CC MI_LOGT MI_T 0.0216 0.0182 0.0179 Median variance: CC MI_LOGT MI_T 0.0211 0.0172 0.0169 Bias in point estimate: CC MI_LOGT MI_T 0.0168 0.0009 -0.0012 Relative bias in point estimate: CC MI_LOGT MI_T 0.0335 0.0018 -0.0024 Empirical standard error: CC MI_LOGT MI_T 0.1511 0.1320 0.1344 % gain in precision relative to method CC: CC MI_LOGT MI_T 0.0000 31.0463 26.3682 Mean squared error: CC MI_LOGT MI_T 0.0231 0.0174 0.0181 Model-based standard error: CC MI_LOGT MI_T 0.1471 0.1349 0.1338 Relative % error in standard error: CC MI_LOGT MI_T -2.6594 2.2233 -0.4412 Coverage of nominal 95% confidence interval: CC MI_LOGT MI_T 0.9430 0.9490 0.9430 Bias-eliminated coverage of nominal 95% confidence interval: CC MI_LOGT MI_T 0.9400 0.9490 0.9430 Power of 5% level test: CC MI_LOGT MI_T 0.9460 0.9690 0.9630 Values are: Point Estimate Non-missing point estimates/standard errors: CC MI_LOGT MI_T 1000 1000 1000 Average point estimate: CC MI_LOGT MI_T 0.5168 0.5009 0.4988 Median point estimate: CC MI_LOGT MI_T 0.5070 0.4969 0.4939 Average variance: CC MI_LOGT MI_T 0.0216 0.0182 0.0179 Median variance: CC MI_LOGT MI_T 0.0211 0.0172 0.0169 Bias in point estimate: CC MI_LOGT MI_T 0.0168 0.0009 -0.0012 Relative bias in point estimate: CC MI_LOGT MI_T 0.0335 0.0018 -0.0024 Empirical standard error: CC MI_LOGT MI_T 0.1511 0.1320 0.1344 % gain in precision relative to method CC: CC MI_LOGT MI_T 0.0000 31.0463 26.3682 Mean squared error: CC MI_LOGT MI_T 0.0231 0.0174 0.0181 Model-based standard error: CC MI_LOGT MI_T 0.1471 0.1349 0.1338 Relative % error in standard error: CC MI_LOGT MI_T -2.6594 2.2233 -0.4412 Coverage of nominal 95% confidence interval: CC MI_LOGT MI_T 0.9430 0.9490 0.9430 Bias-eliminated coverage of nominal 95% confidence interval: CC MI_LOGT MI_T 0.9400 0.9490 0.9430 Power of 5% level test: CC MI_LOGT MI_T 0.9460 0.9690 0.9630 [ FAIL 0 | WARN 0 | SKIP 0 | PASS 789 ] > > proc.time() user system elapsed 16.32 1.25 17.56