On 2020-04-26 10:48, Medic wrote:> Very grateful for the all comments!
>
> My data contains:
> ? left censored
> ? right censored
> ? events
> (interval censored does not contain!)
>
> (P.S. I understood, that the code with "type = 'left'" is
not
> suitable, because is ONLY for left-censored.)
>
> I wanted to get the appropriate code for my so mix data mainly in
> order to get a graphical display (graphic aspect) of such model.
I know why you want the graphic. We all want the graphic! But - the
graphic is the end result of the model. I'm worried that you know what
you WANT the graphic to show and are trying to manipulate the model to
show it.
I assume you aren't able to share the detail of what you are doing in
terms of the data? But can you share the concept? By that I mean -
what is the event, what does the left censoring mean etc. Most studies
show data from t=0 i.e. day of recruitment / randomisation. There may
be logic not to doing that, for instance - I am involved in a study
that recruits at t=0, but doesn't randomise until t=56 (if the event has
occurred randomisation wouldn't happen in this study). It is possible
that in that 56 days an event can occur (although relatively rare).
(The stats for that study are not my problem so I don't know what their
plan is - but it may require left truncating, either in the model - or
simply only including patients who made it to randomisation in the
analysis, and possibly taking the event analysis as time from
randomisation, but that should all be in the stats plan so that the
numbers can't be played later)
Provide us 10 lines of (interesting) data and talk us through what it
means. We don't need to know what "treatment" they had. We
don't event
need to know what the event was other than that the event can only
happen once (death), or could happen more than once to the same patient
(heart attack*). *if that is the case tell us how a second event is
shown in the data.
This is not a stats help forum, but if its simply sorting data
structure, that is probably on topic. If its is this the right test -
thats off topic.
Have you already collected the data and are now doing analysis? or are
you trying to structure the data in advance of analysis?