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resplab / epicR

R package for the Evaluation Platform in COPD (EPIC), an agent-based whole-disease model for projection of health and economic outcomes and COPD interventions.
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high number of Exacerbations #36

Closed shahzadg closed 6 years ago

shahzadg commented 7 years ago 
>  log_exac_hazard =  ( has_copd ==TRUE && sex== MALE )   ? intercept_exac_hazard + 0.04082*0.1*(integer_age)+(copd_stage == COPD_STAGE2)*COPD_exac_hazard[copd_stage]+(copd_stage == COPD_STAGE3 || copd_stage == COPD_STAGE4 )*COPD_exac_hazard[copd_stage]+ x_rate_exacerbation_random_effect: 
>                    ( has_copd ==TRUE && sex== FEMALE ) ? intercept_exac_hazard + 0.04082*0.1*(integer_age)+(copd_stage == COPD_STAGE2)*COPD_exac_hazard[copd_stage]+(copd_stage == COPD_STAGE3 || copd_stage == COPD_STAGE4 )*COPD_exac_hazard[copd_stage]+ x_rate_exacerbation_random_effect: -10000;
>
shahzadg commented 7 years ago

COPD stages coefficentts no copd mild moderate severe very severe 0 0 0.6 1.02 1.02 intercept_exac_hazard= -1.280 x_rate_exacerbation_random_effect= sqrt(0.55)*RandNormal()

aminadibi commented 7 years ago

Assumptions: exac rates per GOLD should be 0.15 of Hoogendoorn values

aminadibi commented 6 years ago

Based on the above assumption, the issue has been resolved in https://github.com/aminadibi/epicR/commit/855265e25e930633f7266d6dce0248f1727787c7