Table 1 The models' bias and RMSE in survival probability estimation in percentile 20% of real survival time
From: A novel dynamic Bayesian network approach for data mining and survival data analysis
αS | R(%) | N | αC = 2 | αC = 1 | αC = 0.5 | ||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
KM | Cox | DBN | KM | Cox | DBN | KM | Cox | DBN | |||
2 | 25 | 800 | − 0.0033 (0.0046) | 0.004 (0.0056) | − 0.0008 (0.0063) | − 0.0081 (0.0099) | 0.0005 (0.0059) | − 0.0054 (0.0093) | − 0.0122 (0.0145) | − 0.0026 (0.0079) | − 0.0088 (0.0129) |
2 | 25 | 5000 | − 0.0035 (0.0037) | 0.0045 (0.0048) | − 0.0022 (0.0046) | − 0.008 (0.0083) | 0.0011 (0.0025) | − 0.0061 (0.0077) | − 0.0123 (0.0127) | − 0.0018 (0.0035) | − 0.0093 (0.0109) |
2 | 25 | 10,000 | − 0.0035 (0.0036) | 0.0046 (0.0047) | − 0.0029 (0.0049) | − 0.0081 (0.0083) | 0.0011 (0.0019) | − 0.0065 (0.0078) | − 0.0123 (0.0125) | − 0.0018 (0.0027) | − 0.0094 (0.0105) |
2 | 40 | 800 | − 0.0073 (0.0088) | − 0.0006 (0.0052) | − 0.005 (0.0088) | − 0.0144 (0.0165) | − 0.0061 (0.01) | − 0.0112 (0.0149) | − 0.0212 (0.0235) | − 0.0111 (0.0147) | − 0.0171 (0.0205) |
2 | 40 | 5000 | − 0.0077 (0.008) | − 0.0004 (0.0021) | − 0.006 (0.0075) | − 0.0145 (0.0149) | − 0.0055 (0.0063) | − 0.0113 (0.0125) | − 0.0204 (0.0208) | − 0.0094 (0.0101) | − 0.016 (0.0172) |
2 | 40 | 10,000 | − 0.0077 (0.0078) | − 0.0004 (0.0015) | − 0.0066 (0.0077) | − 0.0146 (0.0147) | − 0.0055 (0.0059) | − 0.0116 (0.0125) | − 0.0206 (0.0207) | − 0.0095 (0.0099) | − 0.0159 (0.0168) |
2 | 60 | 800 | − 0.0174 (0.0192) | − 0.0122 (0.0144) | − 0.0151 (0.0176) | − 0.0278 (0.0299) | − 0.0195 (0.0223) | − 0.024 (0.027) | − 0.0353 (0.0382) | − 0.0242 (0.028) | − 0.0315 (0.0353) |
2 | 60 | 5000 | − 0.0185 (0.0188) | − 0.0123 (0.0127) | − 0.0158 (0.0167) | − 0.0282 (0.0285) | − 0.0191 (0.0196) | − 0.0231 (0.0241) | − 0.0359 (0.0363) | − 0.0239 (0.0245) | − 0.0296 (0.0307) |
2 | 60 | 10,000 | − 0.0186 (0.0187) | − 0.0123 (0.0124) | − 0.0157 (0.0164) | − 0.0281 (0.0283) | − 0.0189 (0.0191) | − 0.0223 (0.023) | − 0.0355 (0.0357) | − 0.0233 (0.0237) | − 0.0282 (0.029) |
1 | 25 | 800 | − 0.0012 (0.002) | 0.0016 (0.0028) | 0.0001 (0.005) | − 0.0029 (0.0039) | − 0.0007 (0.003) | − 0.0023 (0.0058) | − 0.0075 (0.0088) | − 0.0052 (0.0071) | − 0.0065 (0.009) |
1 | 25 | 5000 | − 0.0011 (0.0013) | 0.002 (0.0022) | − 0.0006 (0.0046) | − 0.0028 (0.003) | − 0.0005 (0.0012) | − 0.0029 (0.0051) | − 0.0075 (0.0077) | − 0.0051 (0.0054) | − 0.0074 (0.0086) |
1 | 25 | 10,000 | − 0.0011 (0.0012) | 0.0021 (0.0022) | − 0.0009 (0.004) | − 0.0028 (0.0029) | − 0.0004 (0.0009) | − 0.0027 (0.0049) | − 0.0076 (0.0077) | − 0.0051 (0.0053) | − 0.0075 (0.0086) |
1 | 40 | 800 | − 0.0031 (0.0041) | − 0.0004 (0.0031) | − 0.0018 (0.0058) | − 0.0057 (0.0067) | − 0.0036 (0.0052) | − 0.0047 (0.0074) | − 0.0137 (0.0151) | − 0.0114 (0.013) | − 0.0128 (0.015) |
1 | 40 | 5000 | − 0.0031 (0.0033) | − 0.0002 (0.0012) | − 0.0027 (0.0054) | − 0.0058 (0.006) | − 0.0035 (0.0038) | − 0.0054 (0.0069) | − 0.014 (0.0142) | − 0.0115 (0.0118) | − 0.0135 (0.0144) |
1 | 40 | 10,000 | − 0.0031 (0.0032) | − 0.0001 (0.0009) | − 0.0026 (0.005) | − 0.0058 (0.0059) | − 0.0034 (0.0036) | − 0.0056 (0.0069) | − 0.0139 (0.014) | − 0.0114 (0.0115) | − 0.0136 (0.0143) |
1 | 60 | 800 | − 0.0043 (0.005) | − 0.0023 (0.0037) | − 0.0036 (0.006) | − 0.0135 (0.0146) | − 0.0113 (0.0127) | − 0.0125 (0.0144) | − 0.0256 (0.027) | − 0.0231 (0.0247) | − 0.0243 (0.0261) |
1 | 60 | 5000 | − 0.0045 (0.0048) | − 0.0023 (0.0028) | − 0.0042 (0.006) | − 0.0132 (0.0134) | − 0.0109 (0.0112) | − 0.0129 (0.0137) | − 0.0255 (0.0257) | − 0.0229 (0.0232) | − 0.0246 (0.0251) |
1 | 60 | 10,000 | − 0.0047 (0.0051) | − 0.0025 (0.0031) | − 0.0045 (0.0063) | − 0.0131 (0.0132) | − 0.0108 (0.0109) | − 0.0129 (0.0136) | − 0.0256 (0.0257) | − 0.0229 (0.0231) | − 0.0251 (0.0256) |
0.5 | 0.25 | 800 | 0 (0.0001) | 0.001 (0.0013) | 0.0005 (0.0044) | − 0.0004 (0.001) | 0.0006 (0.0013) | 0.0004 (0.0044) | − 0.0029 (0.0039) | − 0.0019 (0.0032) | − 0.0018 (0.0056) |
0.5 | 25 | 5000 | 0 (0) | 0.0011 (0.0011) | 0.0005 (0.0039) | − 0.0005 (0.0006) | 0.0007 (0.0008) | − 0.0002 (0.0042) | − 0.0031 (0.0033) | − 0.0019 (0.0023) | − 0.0027 (0.0049) |
0.5 | 25 | 10,000 | 0 (0) | 0.0011 (0.0011) | 0.0002 (0.0042) | − 0.0005 (0.0005) | 0.0007 (0.0007) | − 0.0005 (0.0042) | − 0.0031 (0.0032) | − 0.0019 (0.0021) | − 0.0031 (0.0052) |
0.5 | 40 | 800 | − 0.0001 (0.0003) | 0.001 (0.0013) | 0.0008 (0.0045) | − 0.0011 (0.0018) | − 0.0001 (0.0016) | − 0.0007 (0.0047) | − 0.0061 (0.0072) | − 0.005 (0.0064) | − 0.0056 (0.008) |
0.5 | 40 | 5000 | 0 (0.0001) | 0.0011 (0.0011) | − 0.0001 (0.0041) | − 0.0013 (0.0014) | − 0.0001 (0.0007) | − 0.001 (0.0043) | − 0.006 (0.0062) | − 0.0049 (0.0051) | − 0.0058 (0.0073) |
0.5 | 40 | 10,000 | 0 (0.0001) | 0.0011 (0.0011) | 0.0001 (0.004) | − 0.0012 (0.0013) | − 0.0001 (0.0005) | − 0.0009 (0.0041) | − 0.006 (0.0061) | − 0.0049 (0.005) | − 0.0059 (0.0072) |
0.5 | 60 | 800 | − 0.0007 (0.0012) | 0.0004 (0.0013) | − 0.0001 (0.0046) | − 0.0045 (0.0053) | − 0.0034 (0.0044) | − 0.0038 (0.0064) | − 0.0136 (0.0147) | − 0.0125 (0.0137) | − 0.0128 (0.0145) |
0.5 | 60 | 5000 | − 0.0007 (0.0008) | 0.0005 (0.0007) | − 0.0005 (0.004) | − 0.0046 (0.0048) | − 0.0035 (0.0037) | − 0.0045 (0.0063) | − 0.0138 (0.014) | − 0.0126 (0.0128) | − 0.0134 (0.0142) |
0.5 | 60 | 10,000 | − 0.0007 (0.0008) | 0.0005 (0.0006) | − 0.0006 (0.004) | − 0.0046 (0.0047) | − 0.0034 (0.0035) | − 0.0043 (0.0061) | − 0.0136 (0.0137) | − 0.0124 (0.0125) | − 0.0135 (0.0142) |