Coefficients for first and second line absolute effects estimated using Bayesian meta-analyes (MAs).
mstate_ma_coef
A data.table with the following columns:
Line of treatment. Either first or second.
At 2nd line, equal to 1 if there is a T790M mutation and 0 otherwise.
The statistical model.
Name of the treatment.
The health state transition.
Coefficient as outlined mathematically in the PDF model documentation.
2.5th percentile of the posterior distribution.
25th percentile of the posterior distribution.
50th percentile of the posterior distribution.
75th percentile of the posterior distribution.
90th percentile of the posterior distribution.
print(mstate_ma_coef)#> line mutation tx_name model transition coef #> 1: 1 NA gefitinib Fractional polynomial (0, 0) S to P M_1 #> 2: 1 NA gefitinib Fractional polynomial (0, 0) S to P M_2 #> 3: 1 NA gefitinib Fractional polynomial (0, 0) S to P M_3 #> 4: 1 NA gefitinib Fractional polynomial (0, 0) S to D M_4 #> 5: 1 NA gefitinib Fractional polynomial (0, 0) P to D M_5 #> 6: 1 NA gefitinib Fractional polynomial (0, 0) P to D M_6 #> 7: 1 NA gefitinib Fractional polynomial (0, 1) S to P M_1 #> 8: 1 NA gefitinib Fractional polynomial (0, 1) S to P M_2 #> 9: 1 NA gefitinib Fractional polynomial (0, 1) S to P M_3 #> 10: 1 NA gefitinib Fractional polynomial (0, 1) S to D M_4 #> 11: 1 NA gefitinib Fractional polynomial (0, 1) P to D M_5 #> 12: 1 NA gefitinib Fractional polynomial (0, 1) P to D M_6 #> 13: 1 NA gefitinib Gompertz S to P M_1 #> 14: 1 NA gefitinib Gompertz S to P M_2 #> 15: 1 NA gefitinib Gompertz S to D M_4 #> 16: 1 NA gefitinib Gompertz P to D M_5 #> 17: 1 NA gefitinib Gompertz P to D M_6 #> 18: 1 NA gefitinib Weibull S to P M_1 #> 19: 1 NA gefitinib Weibull S to P M_2 #> 20: 1 NA gefitinib Weibull S to D M_4 #> 21: 1 NA gefitinib Weibull P to D M_5 #> 22: 1 NA gefitinib Weibull P to D M_6 #> 23: 2 0 PBDC Fractional polynomial (0, 0) S to P M_1 #> 24: 2 1 osimertinib Fractional polynomial (0, 0) S to P M_1 #> 25: 2 0 PBDC Fractional polynomial (0, 0) S to P M_2 #> 26: 2 1 osimertinib Fractional polynomial (0, 0) S to P M_2 #> 27: 2 0 PBDC Fractional polynomial (0, 0) S to P M_3 #> 28: 2 1 osimertinib Fractional polynomial (0, 0) S to P M_3 #> 29: 2 0 PBDC Fractional polynomial (0, 0) S to D M_4 #> 30: 2 1 osimertinib Fractional polynomial (0, 0) S to D M_4 #> 31: 2 0 PBDC Fractional polynomial (0, 0) P to D M_5 #> 32: 2 1 osimertinib Fractional polynomial (0, 0) P to D M_5 #> 33: 2 0 PBDC Fractional polynomial (0, 0) P to D M_6 #> 34: 2 1 osimertinib Fractional polynomial (0, 0) P to D M_6 #> 35: 2 0 PBDC Fractional polynomial (0, 1) S to P M_1 #> 36: 2 1 osimertinib Fractional polynomial (0, 1) S to P M_1 #> 37: 2 0 PBDC Fractional polynomial (0, 1) S to P M_2 #> 38: 2 1 osimertinib Fractional polynomial (0, 1) S to P M_2 #> 39: 2 0 PBDC Fractional polynomial (0, 1) S to P M_3 #> 40: 2 1 osimertinib Fractional polynomial (0, 1) S to P M_3 #> 41: 2 0 PBDC Fractional polynomial (0, 1) S to D M_4 #> 42: 2 1 osimertinib Fractional polynomial (0, 1) S to D M_4 #> 43: 2 0 PBDC Fractional polynomial (0, 1) P to D M_5 #> 44: 2 1 osimertinib Fractional polynomial (0, 1) P to D M_5 #> 45: 2 0 PBDC Fractional polynomial (0, 1) P to D M_6 #> 46: 2 1 osimertinib Fractional polynomial (0, 1) P to D M_6 #> 47: 2 0 PBDC Gompertz S to P M_1 #> 48: 2 1 osimertinib Gompertz S to P M_1 #> 49: 2 0 PBDC Gompertz S to P M_2 #> 50: 2 1 osimertinib Gompertz S to P M_2 #> 51: 2 0 PBDC Gompertz S to D M_4 #> 52: 2 1 osimertinib Gompertz S to D M_4 #> 53: 2 0 PBDC Gompertz P to D M_5 #> 54: 2 1 osimertinib Gompertz P to D M_5 #> 55: 2 0 PBDC Gompertz P to D M_6 #> 56: 2 1 osimertinib Gompertz P to D M_6 #> 57: 2 0 PBDC Weibull S to P M_1 #> 58: 2 1 osimertinib Weibull S to P M_1 #> 59: 2 0 PBDC Weibull S to P M_2 #> 60: 2 1 osimertinib Weibull S to P M_2 #> 61: 2 0 PBDC Weibull S to D M_4 #> 62: 2 1 osimertinib Weibull S to D M_4 #> 63: 2 0 PBDC Weibull P to D M_5 #> 64: 2 1 osimertinib Weibull P to D M_5 #> 65: 2 0 PBDC Weibull P to D M_6 #> 66: 2 1 osimertinib Weibull P to D M_6 #> line mutation tx_name model transition coef #> q0.025 q0.25 q0.5 q0.75 q0.975 #> 1: -4.19597973 -3.87268941 -3.732485733 -3.596216348 -3.396108743 #> 2: 0.19013549 0.48143565 0.632894877 0.797309768 1.164292497 #> 3: -0.15484125 -0.05871455 -0.009803839 0.032666021 0.127040719 #> 4: -23.12984489 -14.44701293 -10.553707250 -8.010322716 -5.873222327 #> 5: -3.68533675 -3.11638241 -2.819551931 -2.566848676 -2.166149613 #> 6: -0.30945426 -0.17879912 -0.103382707 -0.014133804 0.153141001 #> 7: -4.18280473 -3.88895934 -3.765864162 -3.660764492 -3.453870025 #> 8: 0.38807007 0.60782172 0.715996300 0.833858534 1.095485559 #> 9: -0.07230882 -0.03508743 -0.017607754 -0.002348246 0.025026425 #> 10: -24.20560513 -15.11431330 -11.144807143 -8.295978517 -5.900064261 #> 11: -3.70941666 -3.05477255 -2.785632700 -2.543489908 -2.145293637 #> 12: -0.31542964 -0.18731809 -0.114244734 -0.034207044 0.153126858 #> 13: -3.58595159 -3.44118215 -3.372093496 -3.304735142 -3.188685077 #> 14: 0.05442458 0.06622040 0.072073791 0.077384853 0.085535260 #> 15: -22.58434790 -14.15162233 -10.346885131 -7.521590190 -5.700584066 #> 16: -3.41103923 -3.13090779 -2.999635947 -2.868350072 -2.657206893 #> 17: -0.01760215 -0.01023288 -0.006199999 -0.001890543 0.006522710 #> 18: -4.02013839 -3.81120133 -3.712838841 -3.608443581 -3.438629117 #> 19: 0.46478932 0.55185809 0.604799083 0.656496823 0.752786140 #> 20: -24.38784679 -14.82899047 -10.879791645 -8.058434739 -5.962261111 #> 21: -3.70909933 -3.09283601 -2.811646616 -2.555592050 -2.122552340 #> 22: -0.31169620 -0.18353978 -0.104060866 -0.019991648 0.156048074 #> 23: -2.77558429 -2.55161659 -2.448288180 -2.355057496 -2.188999218 #> 24: -7.03730968 -4.26310416 -3.738261370 -3.371679342 -2.891455923 #> 25: 0.31812691 0.64925424 0.837178669 1.020990514 1.372755923 #> 26: 0.50726428 1.28090426 1.762483448 2.437712942 5.527250598 #> 27: -0.41677466 -0.27717408 -0.196143723 -0.119264146 0.016162811 #> 28: -1.61688804 -0.75068657 -0.539142203 -0.351797441 -0.047442365 #> 29: -23.63281214 -13.96591067 -9.327167202 -6.350733682 -4.177571385 #> 30: -20.31970687 -9.88320907 -5.733481625 -4.408162781 -3.845565716 #> 31: -3.98118204 -2.85118364 -2.424154477 -2.082045098 -1.559256117 #> 32: -9.61607900 -5.96039175 -4.828666103 -4.488811183 -4.109215722 #> 33: -0.54402414 -0.34340284 -0.228262969 -0.084737228 0.274099957 #> 34: 0.19254072 0.33760610 0.448878011 0.672443784 1.701308475 #> 35: -5.89749751 -3.90935799 -3.467184676 -3.150989646 -2.726806846 #> 36: -5.89749751 -3.90935799 -3.467184676 -3.150989646 -2.726806846 #> 37: 0.59539719 1.31051913 1.730313775 2.316059013 4.759347732 #> 38: 0.59539719 1.31051913 1.730313775 2.316059013 4.759347732 #> 39: -0.82803616 -0.42820846 -0.310278764 -0.224233780 -0.063089191 #> 40: -0.82803616 -0.42820846 -0.310278764 -0.224233780 -0.063089191 #> 41: -22.96057978 -10.81509520 -6.083639097 -4.414323575 -3.843585635 #> 42: -22.96057978 -10.81509520 -6.083639097 -4.414323575 -3.843585635 #> 43: -9.62205568 -5.93448368 -4.776872184 -4.470522422 -4.139560584 #> 44: -9.62205568 -5.93448368 -4.776872184 -4.470522422 -4.139560584 #> 45: 0.19491542 0.33632946 0.434925191 0.671071164 1.690922987 #> 46: 0.19491542 0.33632946 0.434925191 0.671071164 1.690922987 #> 47: -2.47653196 -2.31986601 -2.232796469 -2.150724284 -2.014528526 #> 48: -3.37177639 -2.97118658 -2.809310083 -2.637877585 -2.373316141 #> 49: 0.03965103 0.06298884 0.076930792 0.090904973 0.119641951 #> 50: -0.01493343 0.02944596 0.055747749 0.080404827 0.121494957 #> 51: -25.42562939 -11.87322197 -8.268340185 -5.743991921 -3.861912122 #> 52: -19.64522330 -10.20596153 -8.559866083 -6.556641486 -3.945505675 #> 53: -3.60052894 -2.84403418 -2.607748448 -2.374241948 -2.022538207 #> 54: -6.66411287 -4.33072090 -4.164248941 -4.039941749 -3.842374191 #> 55: -0.06152502 -0.03810445 -0.026839432 -0.015261450 0.008187776 #> 56: 0.01548460 0.02995469 0.037499469 0.046661788 0.114667350 #> 57: -2.61441345 -2.44352101 -2.351584674 -2.268668386 -2.105360661 #> 58: -3.78169220 -3.29822247 -3.109252662 -2.917040958 -2.576106247 #> 59: 0.23108414 0.34371938 0.396368686 0.453253687 0.560594607 #> 60: 0.09571977 0.28695763 0.390431923 0.499198242 0.734334855 #> 61: -23.12219173 -13.46777532 -9.129838129 -6.269764765 -4.092550653 #> 62: -22.13981717 -12.89465167 -8.218819533 -5.482401856 -4.034240946 #> 63: -4.08436180 -2.88637559 -2.464145631 -2.084472476 -1.555544803 #> 64: -7.74975491 -4.95144428 -4.604078174 -4.400497508 -4.057604462 #> 65: -0.55200171 -0.35280154 -0.227128188 -0.080926709 0.267002942 #> 66: 0.18585313 0.31708191 0.386887478 0.490051980 1.191987557 #> q0.025 q0.25 q0.5 q0.75 q0.975