study design looking at efficacy of vaccine trial

[CathyVI]

Hi,

Am new to this topic. Suppose I have a vaccine data and am asked to analyze the efficacy. The data was initially analyze for efficacy using Kaplan–Meier estimator and I want to reanalyze the data using another method e.g. cox regression. Would cox regression be appropriate? what other methods can I attempt?

I aim to demonstrate that new treatment is better (superior) than control, my control is placebo. So i think this should be a superiority trial of vaccine vs placebo not active treatment.

How can i get helpful sas code as resources? Thanks

[Ksharp]

Is your data censored ?
proc lifereg or proc phreg do survival analysis, that need your data is censored .
If not, you could try other normal model like : proc freq or proc logistic or proc ttest or proc npar1way or proc glm .....

[CathyVI]

Yes, the data is censored. What other analytic method apart from cox regression can I attempt?

[Ksharp]

The basic method is Wiloncox test ,Check PROC NPAR1WAY .

or could check parameter method PROC LIFETEST .

or calling @StatDave @SteveDenham

[SteveDenham]

If you have access to SAS/ETS, you might look at PROC QLIM for a variety of tobit analyses.

Also, you may wish to look at this paper, as for a vaccine trial you will likely have competing events:

https://communities.sas.com/t5/SAS-Global-Forum-Proceedings/A-SAS-Macro-to-Perform-Kaplan-Meier-Mult... 

SteveDenham

[CathyVI]

Thank you @Ksharp @SteveDenham @StatDave. Let me correct a mistake I said earlier. My data is not censored. I do not have any loss to follow up. No participants dropped out. I randomized 31 participants to the vaccine and 45 control, all participants completed the study except 1 control.
Can all the suggested analysis methods will still works in this case?