Analysis of cronic granulomatous disease

Analysis of Cronic Granulomatous DiseaseGroup Five :Ario WicaksonoFaza AnindhitaFenty Dian AryantiHot Nauli SimamoraWisnu Widya AsmaraTWO GROUPS KAPLAN MEIERThe data set

Survival Probability by the Group of TreatmentWhen the patients of CG disease were given Gamma Interferon treatment, the survival probability is :

Survival Probability by the Group of Treatment (2)When the patients of CG disease were given Placebo treatment, the survival probability is :

Two Groups Kaplan Meier Curve

InterpretationFrom the picture beside, we can see that the treatment curve using placebo consistently lower than the control curve using gamma interferon after approximately in the day to 200 and above. This indicates that treatment using gamma interferon is better to overcome serious infection than the treatment using placebo.

LOG RANK TESTHypothesisHo:There are no differences in survival between patients who use an Gamma Interferon and patients who use a Placebo.Hi: There are differences in survival between patients who use an Gamma Interferon and patients who use a Placebo.Reject Ho if the p-value < = 0.10 (10%)

Log Rank TestDecision:Because of p-value = 0.0854 < 0.10 then we reject Ho

Conclusions:Based on the Log Rank test output results for this study can be concluded that there was significant differences in survival between patients who use an Gamma Interferon and patients who use a Placebo.

COX PROPORTIONAL HAZARDCox PH ModelCox PH ModelCox PH Test For The Best Model

InterpretationAssumptions Test Metode Log-Log Survival

Goodness of Fit

Ho : Cox PH Assumption is valid (The Model is fit)Ha : Cox PH Assumption is not valid

Time Dependent Covariate

Ho : Cox PH Assumption is valid (The Model is fit)Ha : Cox PH Assumption is not valid

Goodness of Fit (Use Strata)

Ho : Cox PH Assumption is valid (The Model is fit)Ha : Cox PH Assumption is not valid

Time Dependent Covariate (Use Strata)

Ho : Cox PH Assumption is valid (The Model is fit)Ha : Cox PH Assumption is not valid

Cox PH Model with Stratification

InterpretationIf we use 5% significant level, variable that reject null hypothesis are weight and hospital category. But if we used 10% level of significant, all the variables in best model are reject null hypothesis, which mean variable treatment group, weight and hospital category have effect for the occurrence of serious infection (if we used variable height as Strata.People in placebo group have risk 1.49 times than people in the gamma interferon group to have serious infection .People with weight above the average have risk 3.06 times to have serious infection than people with weight under the average.Hospital in US-other have risk 2.33 times than hospital in US-NIH for having serious infection.Hospital in Europe-Amsterdam have risk 2.12 times than hospital in US-NIH for having serious infection.Hospital in Europe-other have risk 4.83 times than hospital in US-NIH for having serious infection.

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