effect_intervention, cost_base, effect_base, EconEval.HealthMeasure.DISUTILITY) print('Paired ICER (confidence and prediction interval): ', ICER_paired.get_ICER(), ICER_paired.get_CI(0.05, 1000), ICER_paired.get_PI(0.05, )) # ICER calculation assuming independent observations ICER_indp = EconEval.ICER_indp('Testing independent ICER', cost_intervention, effect_intervention, cost_base, effect_base, EconEval.HealthMeasure.DISUTILITY) print('Independent ICER (confidence and prediction interval): ', ICER_indp.get_ICER(), ICER_indp.get_CI(0.05, 1000), ICER_indp.get_PI(0.05, )) # try NMB NMB_paired = EconEval.NMB_paired("Testing paired NMB", cost_intervention, effect_intervention, cost_base, effect_base, EconEval.HealthMeasure.DISUTILITY) print('Paired NMB (confidence and prediction interval): ', NMB_paired.get_NMB(wtp=10000), NMB_paired.get_CI(wtp=10000, alpha=.05), NMB_paired.get_PI(wtp=10000, alpha=.05)) NMB_indp = EconEval.NMB_indp("Testing independent NMB", cost_intervention, effect_intervention, cost_base, effect_base, EconEval.HealthMeasure.DISUTILITY) print('Independent NMB (confidence and prediction interval): ', NMB_indp.get_NMB(wtp=10000), NMB_indp.get_CI(wtp=10000, alpha=.05), NMB_indp.get_PI(wtp=10000, alpha=.05)) print('')
cost_intervention, effect_intervention, cost_base, effect_base) print('Paired ICER (confidence and prediction interval): ', ICER_paired.get_ICER(), ICER_paired.get_CI(0.05, 1000), ICER_paired.get_PI(0.05, )) # ICER calculation assuming independent observations ICER_indp = EconEval.ICER_indp('Testing independent ICER', cost_intervention, effect_intervention, cost_base, effect_base) print('Independent ICER (confidence and prediction interval): ', ICER_indp.get_ICER(), ICER_indp.get_CI(0.05, 1000), ICER_indp.get_PI(0.05, )) # try NMB NMB_paired = EconEval.NMB_paired("Testing paired NMB", cost_intervention, effect_intervention, cost_base, effect_base) print('Paired NMB (confidence and prediction interval): ', NMB_paired.get_NMB(wtp=10000), NMB_paired.get_CI(wtp=10000, alpha=.05), NMB_paired.get_PI(wtp=10000, alpha=.05)) NMB_indp = EconEval.NMB_indp("Testing independent NMB", cost_intervention, effect_intervention, cost_base, effect_base) print('Independent NMB (confidence and prediction interval): ', NMB_indp.get_NMB(wtp=10000), NMB_indp.get_CI(wtp=10000, alpha=.05), NMB_indp.get_PI(wtp=10000, alpha=.05)) print('')