Medical-Data-Analysis/bayesian_inference.log at master · guim4dev/Medical-Data-Analysis · GitHub

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Bayesian Table for VO2 Máximo < 35.0
                      Prior Likelihood    BayesNum   Posterior
H(30.0 - 110.4)  0.20392491 1.00000000 0.203924915 0.282505910
H(110.4 - 190.8) 0.41723549 0.91820041 0.383105802 0.530732861
H(190.8 - 271.2) 0.30204778 0.43502825 0.131399317 0.182033097
H(271.2 - 351.6) 0.06655290 0.05128205 0.003412969 0.004728132
H(351.6 432.0)   0.01023891 0.00000000 0.000000000 0.000000000
Probabilidade VO2 Máximo < 35.0 = 0.721843

Bayesian Table for VO2 Máximo >= 35.0
                      Prior Likelihood   BayesNum  Posterior
H(30.0 - 110.4)  0.20392491 0.00000000 0.00000000 0.00000000
H(110.4 - 190.8) 0.41723549 0.08179959 0.03412969 0.12269939
H(190.8 - 271.2) 0.30204778 0.56497175 0.17064846 0.61349693
H(271.2 - 351.6) 0.06655290 0.94871795 0.06313993 0.22699387
H(351.6 - 432.0)   0.01023891 1.00000000 0.01023891 0.03680982
Probabilidade VO2 Máximo >= 35.0 = 0.278157

Bayesian Prediction getting better VO2 after getting one measurement under 35.0
                     Prior1 Likelihood1   BayesNum1  Posterior1 Likelihood2     Predict
H(30.0 - 110.4)  0.20392491  1.00000000 0.203924915 0.282505910  0.00000000 0.000000000
H(110.4 - 190.8) 0.41723549  0.91820041 0.383105802 0.530732861  0.08179959 0.043413731
H(190.8 - 271.2) 0.30204778  0.43502825 0.131399317 0.182033097  0.56497175 0.102843558
H(271.2 - 351.6) 0.06655290  0.05128205 0.003412969 0.004728132  0.94871795 0.004485664
H(351.6 - 432.0)   0.01023891  0.00000000 0.000000000 0.000000000  1.00000000 0.000000000
Probabilidade de melhorar, ou seja, P[VO2Máx >= 35 | VO2Máx < 35] = 0.150743