statistics - two-sided censored model in R (similar to Zeligs Tobit)? -

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is there model dependent variables censored on both sides? , if there implementation in r? aware of tobit models (e.g. in zelig package), they´re censored on left side... wonder if makes sense truncate on both sides...

  1. there's difference between truncation , censoring. need aware of case before start modeling. (in nutshell: censoring means events can detected, measurements not known (i.e. in case neither know exact beginning nor exact end of time interval subjects under risk event you're considering). truncation means events can observed if condition fullfilled: popular example survival in retirement home accepts people on 65 take residence - entry study population truncated @ age 65.)

  2. if have both left- , right censored data or data simultaneously right- , left-censored, techncal term looking interval censored. ?surv in package survival show how define interval censored observations modelling time-to-event in case.


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