BY-COVID - WP5 - Baseline Use Case: COVID-19 vaccine effectiveness assessment

Survival analysis

Survival plot

We estimate the survival function using the Kaplan-Meier estimator and represent this function visually using a Kaplan-Meier curve, showing the probability of not getting infected by SARS-CoV-2 at a certain time after onset of follow-up. The survival function is estimated for the control and intervention group.


The cumulative incidence of the event (SARS-CoV-2 infection) was additionally plotted.


Survival (time-to-event)

The probability of not getting infected by SARS-CoV-2 beyond a certain time after onset of follow-up (survival function, estimated using the Kaplan-Meier estimator) is reported for different periods.

Strata Time Number at risk Cumulative sum of number of events Cumulative sum of number censored Survival Std. error Cumulative hazard Std. error cumulative hazard
Not fully vaccinated 0 2588318 0 9 1.0000 0.00000 0.0000 0.00000
Not fully vaccinated 100 690943 10118 1890865 0.9897 0.00011 0.0104 0.00011
Not fully vaccinated 200 96663 29950 2463724 0.9372 0.00045 0.0648 0.00048
Not fully vaccinated 300 40992 35101 2512328 0.8572 0.00117 0.1540 0.00136
Not fully vaccinated 400 8470 35989 2544403 0.8348 0.00140 0.1805 0.00167
Not fully vaccinated 500 114 36020 2552193 0.8167 0.00536 0.2024 0.00655
Fully vaccinated 0 2588318 14 9 1.0000 0.00000 0.0000 0.00000
Fully vaccinated 100 698759 3166 1889903 0.9971 0.00006 0.0029 0.00006
Fully vaccinated 200 90272 20922 2479189 0.9474 0.00045 0.0541 0.00047
Fully vaccinated 300 34654 25939 2527813 0.8580 0.00130 0.1530 0.00152
Fully vaccinated 400 7192 27013 2554555 0.8260 0.00164 0.1911 0.00198
Fully vaccinated 500 50 27076 2561199 0.7831 0.00921 0.2443 0.01173


Median survival time

The median survival time is the time corresponding to a probability of not obtaining a SARS-CoV-2 infection probability of 0.5. (if NA, the probability of not obtaining a SARS-CoV-2 infection did not drop below 50%)

Characteristic Median survival (95% CI)
fully_vaccinated_bl
    FALSE — (—, —)
    TRUE — (—, —)
Cox regression and estimation of the average treatment effect

A Cox regression model was built to examine the relationship between the distribution of the probability of not obtaining a SARS-CoV-2 infection (survival distribution) and completing a primary vaccination schedule (covariate). The Cox proportional hazards regression model was fitted with ‘fully_vaccinated_bl’ as a covariate and accounts for clustering within individuals (as one individual can be re-sampled as control).

A hazard ratio (HR) is computed for the covariate ‘fully_vaccinated_bl’. A hazard can be interpreted as the instantaneous rate of SARS-CoV-2 infections in individuals that are at risk for obtaining an infection (Cox proportional hazards regression assumes stable proportional hazards over time). A HR < 1 indicates reduced hazard of SARS-CoV-2 infection when having completed a primary vaccination schedule whereas a HR > 1 indicates an increased hazard of SARS-CoV-2 infection.

Parameter estimate SE coefficient Robust SE coefficient P-value Hazard Ratio (HR) (95% CI for HR)
fully_vaccinated_blTRUE -0.263 0.008 0.009 0 0.768 (0.754, 0.782)

The overall significance of the model is tested.

Test statistic Df P-value
Likelihood ratio test 1081.7599 1 3.042992e-237
Wald test 801.5600 1 2.468871e-176
Score (logrank) test 1077.6262 1 2.408537e-236
Robust score test 753.8354 1 5.881097e-166

Proportional hazards during the study period might be unlikely. As such, the RMST and RMTL ratios are additionally calculated, providing an alternative estimate for the the Average Treatment Effect (ATE), without requiring the proportional hazards assumption to be met.

Arm Measure Estimate SE CI.lower CI.upper
fully_vaccinated_bl==FALSE RMST 340.580 0.159 340.268 340.893
fully_vaccinated_bl==TRUE RMST 342.145 0.173 341.807 342.483
fully_vaccinated_bl==FALSE RMTL 24.420 0.159 24.107 24.732
fully_vaccinated_bl==TRUE RMTL 22.855 0.173 22.517 23.193
Measure Estimate CI.lower CI.upper p_value
RMST (fully_vaccinated_bl==TRUE)-(fully_vaccinated_bl==FALSE) 1.565 1.104 2.025 0
RMST (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.005 1.003 1.006 0
RMTL (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 0.936 0.918 0.954 0

Vaccination schedules dropped from the subgroup analyses

Vaccination schedules with less than 500 records were dropped from the subgroup analyses.

Vaccination schedule N
JJ-JJ 116
Survival plot

We estimate the survival function using the Kaplan-Meier estimator and represent this function visually using a Kaplan-Meier curve, showing the probability of not getting infected by SARS-CoV-2 at a certain time after onset of follow-up. The survival function is estimated for the control and intervention group, within subsets defined by the vaccination schedule.


The cumulative incidence of the event (SARS-CoV-2 infection) was additionally plotted within subsets defined by the vaccination schedule.


Cox regression and estimation of the average treatment effect

A Cox regression model was built to examine the relationship between the distribution of the probability of not obtaining a SARS-CoV-2 infection (survival distribution) and completing a primary vaccination schedule (covariate), and whether this differs according to the administered vaccination schedule. A stratified Cox proportional hazards regression model was fitted with ‘fully_vaccinated_bl’ as a covariate, ‘vaccination_schedule_cd’ as a stratification factor, and accounting for clustering within individuals (as one individual can be re-sampled as control).

Parameter estimate SE coefficient Robust SE coefficient P-value Hazard Ratio (HR) (95% CI for HR)
fully_vaccinated_blTRUE -0.374 0.038 0.041 0.000 0.688 (0.633, 0.743)
fully_vaccinated_blTRUE:strata(vaccination_schedule_cd)BP-BP 0.143 0.039 0.041 0.001 1.154 (1.06, 1.247)
fully_vaccinated_blTRUE:strata(vaccination_schedule_cd)MD-MD -0.121 0.046 0.048 0.012 0.886 (0.803, 0.97)


The overall significance of the model is tested.

Test statistic Df P-value
Likelihood ratio test 1183.1363 3 3.342303e-256
Wald test 887.7600 3 3.989461e-192
Score (logrank) test 1176.2328 3 1.051578e-254
Robust score test 832.1458 3 4.617277e-180

Proportional hazards during the study period might be unlikely. As such, the RMST and RMTL ratios are additionally calculated, providing an alternative estimate for the the Average Treatment Effect (ATE), without requiring the proportional hazards assumption to be met.

Vaccination_schedule Arm Measure Estimate SE CI.lower CI.upper
BP-BP fully_vaccinated_bl==FALSE RMST 284.517 0.101 284.320 284.715
BP-BP fully_vaccinated_bl==TRUE RMST 286.074 0.106 285.867 286.281
BP-BP fully_vaccinated_bl==FALSE RMTL 15.483 0.101 15.285 15.680
BP-BP fully_vaccinated_bl==TRUE RMTL 13.926 0.106 13.719 14.133
MD-MD fully_vaccinated_bl==FALSE RMST 284.015 0.295 283.437 284.592
MD-MD fully_vaccinated_bl==TRUE RMST 287.796 0.292 287.224 288.369
MD-MD fully_vaccinated_bl==FALSE RMTL 15.985 0.295 15.408 16.563
MD-MD fully_vaccinated_bl==TRUE RMTL 12.204 0.292 11.631 12.776
AZ-AZ fully_vaccinated_bl==FALSE RMST 292.071 0.268 291.546 292.596
AZ-AZ fully_vaccinated_bl==TRUE RMST 293.602 0.272 293.069 294.135
AZ-AZ fully_vaccinated_bl==FALSE RMTL 7.929 0.268 7.404 8.454
AZ-AZ fully_vaccinated_bl==TRUE RMTL 6.398 0.272 5.865 6.931
Vaccination_schedule Measure Estimate CI.lower CI.upper p_value
BP-BP RMST (fully_vaccinated_bl==TRUE)-(fully_vaccinated_bl==FALSE) 1.557 1.270 1.843 0
BP-BP RMST (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.005 1.004 1.006 0
BP-BP RMTL (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 0.899 0.882 0.917 0
MD-MD RMST (fully_vaccinated_bl==TRUE)-(fully_vaccinated_bl==FALSE) 3.782 2.969 4.595 0
MD-MD RMST (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.013 1.010 1.016 0
MD-MD RMTL (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 0.763 0.720 0.810 0
AZ-AZ RMST (fully_vaccinated_bl==TRUE)-(fully_vaccinated_bl==FALSE) 1.531 0.784 2.279 0
AZ-AZ RMST (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.005 1.003 1.008 0
AZ-AZ RMTL (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 0.807 0.725 0.897 0

Vaccination schedules dropped from the subgroup analyses

Vaccination schedules with less than 500 records were dropped from the subgroup analyses.

Vaccination schedule N
JJ-JJ 116
Survival plot

We estimate the survival function using the Kaplan-Meier estimator and represent this function visually using a Kaplan-Meier curve, showing the probability of not getting infected by SARS-CoV-2 at a certain time after onset of follow-up. The survival function is estimated for the control and intervention group, within subsets defined by the NUTS3 residence area.


The cumulative incidence of the event (SARS-CoV-2 infection) was additionally plotted within subsets defined by the NUTS3 residence area.


Cox regression and estimation of the average treatment effect

A Cox regression model was built to examine the relationship between the distribution of the probability of not obtaining a SARS-CoV-2 infection (survival distribution) and completing a primary vaccination schedule (covariate), and whether this differs according to the area of residence (NUTS3 level). A stratified Cox proportional hazards regression model was fitted with ‘fully_vaccinated_bl’ as a covariate, ‘residence_area_cd’ as a stratification factor, and accounting for clustering within individuals (as one individual can be re-sampled as control).

Parameter estimate SE coefficient Robust SE coefficient P-value Hazard Ratio (HR) (95% CI for HR)
fully_vaccinated_blTRUE -0.426 0.044 0.049 0.000 0.653 (0.59, 0.716)
fully_vaccinated_blTRUE:strata(residence_area_cd)FI194 0.070 0.067 0.074 0.347 1.072 (0.916, 1.228)
fully_vaccinated_blTRUE:strata(residence_area_cd)FI195 0.251 0.062 0.069 0.000 1.286 (1.111, 1.46)
fully_vaccinated_blTRUE:strata(residence_area_cd)FI196 0.177 0.062 0.070 0.011 1.193 (1.03, 1.357)
fully_vaccinated_blTRUE:strata(residence_area_cd)FI197 0.015 0.053 0.059 0.804 1.015 (0.897, 1.132)
fully_vaccinated_blTRUE:strata(residence_area_cd)FI1B1 0.288 0.046 0.051 0.000 1.334 (1.199, 1.468)
fully_vaccinated_blTRUE:strata(residence_area_cd)FI1C1 -0.040 0.056 0.063 0.532 0.961 (0.842, 1.08)
fully_vaccinated_blTRUE:strata(residence_area_cd)FI1C2 0.160 0.064 0.072 0.026 1.174 (1.008, 1.34)
fully_vaccinated_blTRUE:strata(residence_area_cd)FI1C3 -0.069 0.058 0.065 0.288 0.933 (0.814, 1.052)
fully_vaccinated_blTRUE:strata(residence_area_cd)FI1C4 0.256 0.075 0.086 0.003 1.292 (1.074, 1.51)
fully_vaccinated_blTRUE:strata(residence_area_cd)FI1C5 -0.072 0.084 0.098 0.464 0.931 (0.752, 1.109)
fully_vaccinated_blTRUE:strata(residence_area_cd)FI1D1 0.353 0.079 0.088 0.000 1.424 (1.178, 1.67)
fully_vaccinated_blTRUE:strata(residence_area_cd)FI1D2 0.143 0.075 0.083 0.084 1.154 (0.967, 1.341)
fully_vaccinated_blTRUE:strata(residence_area_cd)FI1D3 0.032 0.083 0.093 0.729 1.033 (0.844, 1.222)
fully_vaccinated_blTRUE:strata(residence_area_cd)FI1D5 0.191 0.081 0.091 0.037 1.211 (0.993, 1.428)
fully_vaccinated_blTRUE:strata(residence_area_cd)FI1D7 0.065 0.073 0.081 0.421 1.067 (0.898, 1.237)
fully_vaccinated_blTRUE:strata(residence_area_cd)FI1D8 0.199 0.108 0.120 0.097 1.221 (0.934, 1.508)
fully_vaccinated_blTRUE:strata(residence_area_cd)FI1D9 -0.107 0.054 0.060 0.074 0.899 (0.793, 1.004)


The overall significance of the model is tested.

Test statistic Df P-value
Likelihood ratio test 1445.334 18 2.633590e-296
Wald test 1095.370 18 2.841053e-221
Score (logrank) test 1433.587 18 8.769927e-294
Robust score test 1004.554 18 7.463146e-202

Proportional hazards during the study period might be unlikely. As such, the RMST and RMTL ratios are additionally calculated, providing an alternative estimate for the the Average Treatment Effect (ATE), without requiring the proportional hazards assumption to be met.

Residence_area Arm Measure Estimate SE CI.lower CI.upper
FI1B1 fully_vaccinated_bl==FALSE RMST 337.898 0.254 337.400 338.397
FI1B1 fully_vaccinated_bl==TRUE RMST 336.598 0.299 336.011 337.184
FI1B1 fully_vaccinated_bl==FALSE RMTL 27.102 0.254 26.603 27.600
FI1B1 fully_vaccinated_bl==TRUE RMTL 28.402 0.299 27.816 28.989
FI1D9 fully_vaccinated_bl==FALSE RMST 334.364 0.686 333.019 335.710
FI1D9 fully_vaccinated_bl==TRUE RMST 342.240 0.660 340.947 343.534
FI1D9 fully_vaccinated_bl==FALSE RMTL 30.636 0.686 29.290 31.981
FI1D9 fully_vaccinated_bl==TRUE RMTL 22.760 0.660 21.466 24.053
FI1C4 fully_vaccinated_bl==FALSE RMST 346.130 0.992 344.186 348.074
FI1C4 fully_vaccinated_bl==TRUE RMST 345.095 1.135 342.870 347.320
FI1C4 fully_vaccinated_bl==FALSE RMTL 18.870 0.992 16.926 20.814
FI1C4 fully_vaccinated_bl==TRUE RMTL 19.905 1.135 17.680 22.130
FI1D7 fully_vaccinated_bl==FALSE RMST 346.977 0.822 345.367 348.588
FI1D7 fully_vaccinated_bl==TRUE RMST 350.387 0.805 348.809 351.964
FI1D7 fully_vaccinated_bl==FALSE RMTL 18.023 0.822 16.412 19.633
FI1D7 fully_vaccinated_bl==TRUE RMTL 14.613 0.805 13.036 16.191
FI1C1 fully_vaccinated_bl==FALSE RMST 344.670 0.592 343.509 345.830
FI1C1 fully_vaccinated_bl==TRUE RMST 347.408 0.616 346.199 348.616
FI1C1 fully_vaccinated_bl==FALSE RMTL 20.330 0.592 19.170 21.491
FI1C1 fully_vaccinated_bl==TRUE RMTL 17.592 0.616 16.384 18.801
FI194 fully_vaccinated_bl==FALSE RMST 342.286 0.895 340.532 344.040
FI194 fully_vaccinated_bl==TRUE RMST 344.940 0.931 343.116 346.764
FI194 fully_vaccinated_bl==FALSE RMTL 22.714 0.895 20.960 24.468
FI194 fully_vaccinated_bl==TRUE RMTL 20.060 0.931 18.236 21.884
FI1C3 fully_vaccinated_bl==FALSE RMST 336.602 0.773 335.088 338.117
FI1C3 fully_vaccinated_bl==TRUE RMST 341.833 0.796 340.274 343.393
FI1C3 fully_vaccinated_bl==FALSE RMTL 28.398 0.773 26.883 29.912
FI1C3 fully_vaccinated_bl==TRUE RMTL 23.167 0.796 21.607 24.726
FI197 fully_vaccinated_bl==FALSE RMST 340.165 0.546 339.095 341.234
FI197 fully_vaccinated_bl==TRUE RMST 345.071 0.544 344.005 346.137
FI197 fully_vaccinated_bl==FALSE RMTL 24.835 0.546 23.766 25.905
FI197 fully_vaccinated_bl==TRUE RMTL 19.929 0.544 18.863 20.995
FI195 fully_vaccinated_bl==FALSE RMST 333.262 1.024 331.255 335.268
FI195 fully_vaccinated_bl==TRUE RMST 336.584 1.008 334.608 338.559
FI195 fully_vaccinated_bl==FALSE RMTL 31.738 1.024 29.732 33.745
FI195 fully_vaccinated_bl==TRUE RMTL 28.416 1.008 26.441 30.392
FI193 fully_vaccinated_bl==FALSE RMST 344.083 0.743 342.626 345.539
FI193 fully_vaccinated_bl==TRUE RMST 349.277 0.695 347.916 350.639
FI193 fully_vaccinated_bl==FALSE RMTL 20.917 0.743 19.461 22.374
FI193 fully_vaccinated_bl==TRUE RMTL 15.723 0.695 14.361 17.084
FI1D1 fully_vaccinated_bl==FALSE RMST 343.345 1.170 341.052 345.637
FI1D1 fully_vaccinated_bl==TRUE RMST 340.860 1.305 338.302 343.418
FI1D1 fully_vaccinated_bl==FALSE RMTL 21.655 1.170 19.363 23.948
FI1D1 fully_vaccinated_bl==TRUE RMTL 24.140 1.305 21.582 26.698
FI196 fully_vaccinated_bl==FALSE RMST 344.460 0.774 342.943 345.977
FI196 fully_vaccinated_bl==TRUE RMST 345.576 0.821 343.967 347.185
FI196 fully_vaccinated_bl==FALSE RMTL 20.540 0.774 19.023 22.057
FI196 fully_vaccinated_bl==TRUE RMTL 19.424 0.821 17.815 21.033
FI1D2 fully_vaccinated_bl==FALSE RMST 348.926 0.877 347.208 350.644
FI1D2 fully_vaccinated_bl==TRUE RMST 351.229 0.864 349.536 352.923
FI1D2 fully_vaccinated_bl==FALSE RMTL 16.074 0.877 14.356 17.792
FI1D2 fully_vaccinated_bl==TRUE RMTL 13.771 0.864 12.077 15.464
FI1D5 fully_vaccinated_bl==FALSE RMST 329.239 1.814 325.684 332.794
FI1D5 fully_vaccinated_bl==TRUE RMST 329.104 1.904 325.371 332.836
FI1D5 fully_vaccinated_bl==FALSE RMTL 35.761 1.814 32.206 39.316
FI1D5 fully_vaccinated_bl==TRUE RMTL 35.896 1.904 32.164 39.629
FI1D3 fully_vaccinated_bl==FALSE RMST 345.410 1.123 343.210 347.611
FI1D3 fully_vaccinated_bl==TRUE RMST 348.534 1.146 346.287 350.781
FI1D3 fully_vaccinated_bl==FALSE RMTL 19.590 1.123 17.389 21.790
FI1D3 fully_vaccinated_bl==TRUE RMTL 16.466 1.146 14.219 18.713
FI1C2 fully_vaccinated_bl==FALSE RMST 340.857 0.946 339.002 342.712
FI1C2 fully_vaccinated_bl==TRUE RMST 344.410 0.960 342.528 346.292
FI1C2 fully_vaccinated_bl==FALSE RMTL 24.143 0.946 22.288 25.998
FI1C2 fully_vaccinated_bl==TRUE RMTL 20.590 0.960 18.708 22.472
FI1D8 fully_vaccinated_bl==FALSE RMST 344.573 1.661 341.317 347.828
FI1D8 fully_vaccinated_bl==TRUE RMST 345.644 1.743 342.228 349.061
FI1D8 fully_vaccinated_bl==FALSE RMTL 20.427 1.661 17.172 23.683
FI1D8 fully_vaccinated_bl==TRUE RMTL 19.356 1.743 15.939 22.772
FI1C5 fully_vaccinated_bl==FALSE RMST 345.652 1.158 343.383 347.922
FI1C5 fully_vaccinated_bl==TRUE RMST 346.621 1.277 344.118 349.124
FI1C5 fully_vaccinated_bl==FALSE RMTL 19.348 1.158 17.078 21.617
FI1C5 fully_vaccinated_bl==TRUE RMTL 18.379 1.277 15.876 20.882
Residence_area Measure Estimate CI.lower CI.upper p_value
FI1B1 RMST (fully_vaccinated_bl==TRUE)-(fully_vaccinated_bl==FALSE) -1.301 -2.070 -0.531 0.001
FI1B1 RMST (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 0.996 0.994 0.998 0.001
FI1B1 RMTL (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.048 1.019 1.077 0.001
FI1D9 RMST (fully_vaccinated_bl==TRUE)-(fully_vaccinated_bl==FALSE) 7.876 6.010 9.742 0.000
FI1D9 RMST (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.024 1.018 1.029 0.000
FI1D9 RMTL (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 0.743 0.691 0.798 0.000
FI1C4 RMST (fully_vaccinated_bl==TRUE)-(fully_vaccinated_bl==FALSE) -1.035 -3.990 1.919 0.492
FI1C4 RMST (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 0.997 0.989 1.006 0.492
FI1C4 RMTL (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.055 0.906 1.228 0.491
FI1D7 RMST (fully_vaccinated_bl==TRUE)-(fully_vaccinated_bl==FALSE) 3.409 1.155 5.664 0.003
FI1D7 RMST (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.010 1.003 1.016 0.003
FI1D7 RMTL (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 0.811 0.705 0.933 0.003
FI1C1 RMST (fully_vaccinated_bl==TRUE)-(fully_vaccinated_bl==FALSE) 2.738 1.063 4.413 0.001
FI1C1 RMST (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.008 1.003 1.013 0.001
FI1C1 RMTL (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 0.865 0.791 0.946 0.001
FI194 RMST (fully_vaccinated_bl==TRUE)-(fully_vaccinated_bl==FALSE) 2.654 0.124 5.185 0.040
FI194 RMST (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.008 1.000 1.015 0.040
FI194 RMTL (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 0.883 0.784 0.995 0.041
FI1C3 RMST (fully_vaccinated_bl==TRUE)-(fully_vaccinated_bl==FALSE) 5.231 3.057 7.405 0.000
FI1C3 RMST (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.016 1.009 1.022 0.000
FI1C3 RMTL (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 0.816 0.749 0.889 0.000
FI197 RMST (fully_vaccinated_bl==TRUE)-(fully_vaccinated_bl==FALSE) 4.906 3.396 6.417 0.000
FI197 RMST (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.014 1.010 1.019 0.000
FI197 RMTL (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 0.802 0.749 0.859 0.000
FI195 RMST (fully_vaccinated_bl==TRUE)-(fully_vaccinated_bl==FALSE) 3.322 0.506 6.138 0.021
FI195 RMST (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.010 1.002 1.018 0.021
FI195 RMTL (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 0.895 0.815 0.984 0.021
FI193 RMST (fully_vaccinated_bl==TRUE)-(fully_vaccinated_bl==FALSE) 5.195 3.201 7.188 0.000
FI193 RMST (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.015 1.009 1.021 0.000
FI193 RMTL (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 0.752 0.673 0.840 0.000
FI1D1 RMST (fully_vaccinated_bl==TRUE)-(fully_vaccinated_bl==FALSE) -2.484 -5.919 0.951 0.156
FI1D1 RMST (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 0.993 0.983 1.003 0.156
FI1D1 RMTL (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.115 0.960 1.295 0.155
FI196 RMST (fully_vaccinated_bl==TRUE)-(fully_vaccinated_bl==FALSE) 1.116 -1.095 3.327 0.323
FI196 RMST (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.003 0.997 1.010 0.323
FI196 RMTL (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 0.946 0.846 1.057 0.324
FI1D2 RMST (fully_vaccinated_bl==TRUE)-(fully_vaccinated_bl==FALSE) 2.304 -0.109 4.716 0.061
FI1D2 RMST (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.007 1.000 1.014 0.061
FI1D2 RMTL (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 0.857 0.728 1.008 0.063
FI1D5 RMST (fully_vaccinated_bl==TRUE)-(fully_vaccinated_bl==FALSE) -0.136 -5.290 5.019 0.959
FI1D5 RMST (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.000 0.984 1.015 0.959
FI1D5 RMTL (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.004 0.869 1.159 0.959
FI1D3 RMST (fully_vaccinated_bl==TRUE)-(fully_vaccinated_bl==FALSE) 3.124 -0.021 6.269 0.052
FI1D3 RMST (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.009 1.000 1.018 0.052
FI1D3 RMTL (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 0.841 0.704 1.003 0.054
FI1C2 RMST (fully_vaccinated_bl==TRUE)-(fully_vaccinated_bl==FALSE) 3.553 0.911 6.195 0.008
FI1C2 RMST (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.010 1.003 1.018 0.008
FI1C2 RMTL (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 0.853 0.757 0.961 0.009
FI1D8 RMST (fully_vaccinated_bl==TRUE)-(fully_vaccinated_bl==FALSE) 1.072 -3.647 5.791 0.656
FI1D8 RMST (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.003 0.989 1.017 0.656
FI1D8 RMTL (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 0.948 0.747 1.202 0.657
FI1C5 RMST (fully_vaccinated_bl==TRUE)-(fully_vaccinated_bl==FALSE) 0.969 -2.410 4.347 0.574
FI1C5 RMST (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 1.003 0.993 1.013 0.574
FI1C5 RMTL (fully_vaccinated_bl==TRUE)/(fully_vaccinated_bl==FALSE) 0.950 0.794 1.137 0.575