# 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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### COVID-19: Do epidemiologists use censoring methods to calculate case fatality rates with undercount?

In case of the coronavirus COVID-19 (or 2019-nCoV), it seems that there are a lot of mild cases which do not require medical intervention, see here: For every person who is sick enough to come to ...
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### Censored logit transform for (ad hoc) exploratory data analysis

In my work I commonly have to analyze binary composition data, expressed as a fraction $f\in[0,1]$. The data $f[x]$ is spatially distributed ($x\in\mathbb{R}^n$, $n=1,2,3$), and typically comes in the ...
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### Inferences about a distribution given running maximum values

Here is a question inspired by this question from StackOverflow. Suppose you have observations of a variable which is measured once a minute, but the values are only recorded if they are greater than ...
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### Estimating right-censored data

I am VERY new to stats. I have a large amount of life-time data (delay in arrival since start of experiment) from repeat experiments. Some data is missing, but essentially represents a delay longer ...
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### How to fit a distribution with an "10 and more" category at the bottom?

I want to fit a distribution to some data to sample from it in a subsequent simulation. There are I got a dataset that looks somehwat like this: ...
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### Right-censored cash flows and survival analysis

I am doing survival analysis on a disability claims dataset - each row tells me how long a person has been on claim and whether they have gone off claim yet. Ultimately I am interested in predicting ...
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### Dealing with censored count data from a limited pool of potential customers

I have daily data of reservations for a restaurant with a certain capacity. I also know about the population size that will possibly visit this restaurant. I would like to do some analysis to get more ...
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### Manually right-censoring (top-coding) data for survival modeling: justified?

Say we have survival-time data that has a long right tail. Does it make analytical/statistical sense to set a time limit and then manually right-censor (top-code) all times-to-event that exceed this ...
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### Probability model for duration, how to write log-likelihood function for Weibull distribution to fit aggreate data

Background: I have a basic to moderate knowledge on probability and statistics. I have familiarity with R programming language and optimization routines. I'm reading an excellent article "Jobs, ...
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### Censoring? Am I training my model on an event that might not have happened yet?

I'm working on a paper at the moment, and I have gone into one of those self-doubt loops/spirals. My supervisors assure me that this is the right way, but i'm sceptical. I am identifying doctors at ...
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### Appropriate Model for inflated variable at non zero value

I have a question regarding the appropriate regression model for a continuous variable that ranges from zero to 10. This variable has a large concentration of observations in the "10" value (almost 50 ...
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### Partly truncated and not truncated data

In some places 100 km races stop to count time if a certain time limit has been passed, for example 15 hours. It is difficult, respective, not possible to distinguish which finisher or site was ...
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### Variance-Covariance matrix of Weibull Distribution for right-censored data

The probability distribution function, cumulative distribution function and survival function of Weibull distribution are given by respectively, f(t;\alpha, \beta)= \dfrac{\beta}{\...
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