Questions tagged [censoring]

The process of censoring yields data w/ only partial information. The most common example of censoring is *right censoring* in survival analysis, where the time until the event occurred is only known to be longer than some duration because the event had not occurred when the study ended.

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2answers
5k views

Censoring/Truncation in JAGS

I have a question on how to fit a censoring problem in JAGS. I observe a bivariate mixture normal where the X values have measurement error. I would like to model the true underlying 'means' of the ...
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1answer
792 views

How do you calculate simple statistics for left censored data in R?

I have left censored data where the distribution is known (it's near enough lognormal, at least in theory). I'd like to calculate some simple summary stats: geometric mean and standard deviation in ...
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2answers
328 views

Informative censoring caused by cesarean section

I study labor and delivery as an epidemiologist. It is well established that a large fetus has a higher risk of causing maternal birth trauma. But a large baby is also likely to be delivered by ...
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3answers
2k views

Unbiased estimation of covariance matrix for multiply censored data

Chemical analyses of environmental samples are often censored below at reporting limits or various detection/quantitation limits. The latter can vary, usually in proportion to the values of other ...
6
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2answers
2k views

How to fit a negative binomial distribution in R while incorporating censoring [closed]

I need to fit $Y_{ij} \sim NegBin(m_{ij},k)$, i.e. a negative binomial distribution to count data. However, the data I have observed are censored - I know the value of $y_{ij}$, but it could be more ...

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