# 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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107 views

### Is data censored if it's “still alive”?

Let's say I'm observing the mortality of flies. Say I have 100 flies that are born throughout the year. And also say I am recording the alive/dead status of a fly every single day, without fail. So ...
300 views

### Mean of a censored Poisson random variable

Consider a real demand estimation problem of a retailer where matrix $Y$ (contains Poisson random variables) is the real demand and its mean need to be estimated by using sales data (matrix) $X$ which ...
135 views

### Help with Right Censoring for survival analysis

Hi all I would like to do some survival analysis. The most difficult part for me is setting up the censoring data correctly and I would appreciated if someone can help confirm if I'm doing this ...
96 views

### Estimator of (left-)censored normal distribution when mean>>std

Suppose there is a left-censored normal distribution, and we know there is a total of $m$ samples, for which we know $n$ of them. I am trying to estimate the mean and variance of the underlying normal ...
224 views

### What is the distribution of min{0,X} when X follows some general normal distribution?

What is the distribution of $\min\{0, X\}$ when $X$ follows some general normal distribution?
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### Linear regression: how to treat an explanatory variable that is discrete but does not have a natural zero

Background/study system: One of my MS students is studying the biomechanics of strand breakage in Spanish moss (an epiphyte--or plant that lives on other plants). Spanish moss has strands that can ...
36 views

### Calculating censoring proportion in recurrent event time data

My question pertains to how to calculate censoring proportion in the perspective of recurrent event data in which an individual subject can have multiple survival times related to repeated occurrences ...
71 views

### Survival model - sample with only censored observations

I have a question related to survival models: for instance, the survival probability of people that have a disease. In all examples I've seen so far, the data used to estimate those models sometimes ...
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### survival analysis with varying follow-up time

I have a retrospectively enrolled cohort of patients with aortic disease. The endpoint is aortic enlargement at or after postoperative 6 months. Patients experiencing aortic enlargement within 6 ...
16 views

### Estimate the conditional probability given contaminated output?

I have a dataset with exam grades and for each student an indicator variable that is equal to $y=1$ if the student was cribbing and $y=0$ otherwise. As a result of the crib the grade is expected to be ...
551 views

### Fitting distributions on censored data

My question deals with fitting distributions on censored data; for the purposes of clarity, we can consider a continuous distribution which is both left and right-censored. In such a case, the ...
148 views

### How to fit a (gaussian) mixture model to a dataset with (right) censored data in R?

I am trying to fit a mixture distribution to a dataset in R. Exploiting the R package mixtools, this goes pretty well. However, up to 20% of the data point in the dataset are right censored, therefore ...
49 views

### Censored regression methods for analyzing extreme end of a normally-distributed variable

I have a normally distributed continuous variable referring to an observed human behavior, and I'm interested in measuring or rather analyzing the extreme of this behavior, namely, the top 10% of the ...
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### Which duration model to use with a fully right censored database

Currently I'm examining the duration of residence of households. I have a database at my disposal that indicates how long a specific household resides in its current home. I want to explain their ...
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### Continuous or categorical data. Modeling depth, that is continuous through a range of values, but has a max depth that is discrete

I'm modeling depth to bedrock. These data are continuous through a range of depths, but have a max value that equates to as far as we could dig with our soil auger. So they are continuous through a ...
407 views

### How to model left-censored and right-truncated data on Stata? [closed]

I have data that is left-censored and right-truncated. I'd like to run a tobit or truncreg. Although, using ...
173 views

### Residual Useful Life estimation from multivariate time series with lots of missing data and censoring, using neural networks

I have a set of industrial machines, for which I collect measurements from a few sensors (say, $d=20$) in time. So I have a $d-$variate time series for each machine. Let $t=0$ denote the start of my ...
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### How can we deal with limit of detection independent variables in regression

Suppose that you have a regression in which one or more of the independent variables has a lower limit of detection (e.g. some result of blood tests). How best to deal with this? Any pointers to the ...
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### Proper way to assess median failure distance in the presence of censoring

I would like to measure the median distance at which a material fails when it is stretched. At first pass, this sounds trivial and there is a simple version of this by which I pull a material until ...
1k views

### How do left-censored data and right-censored data impact Cox Regression?

My application is not a traditional survival analysis scenario. However, I believe survival analysis methods, e.g., Cox regression, can be a possible solution. In particular, my dataset contains two ...
34 views

### Right-censored predictor where censorship means “never”

My major predictor is "time to consultation" (of the specialist), which ranges from 0 to roughly 72 hours. There are also patients in this group whose value is "never". That is the procedure in ...
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### How to deal with different likelihood of censoring across groups in survival analysis?

I am analysing survival data for nematode worms fed on four different bacterial diets (four groups). Each group has at least 70 events (deaths), but there is often a very uneven proportion of ...
230 views

### Learning a continuous model from binned data

A very similar question has been asked before, but it didn't get a real answer. Background I would like to develop a probability model for a continuous, ratio-scale random variable $Y$. Let's say it ...
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### Principal component analysis with censored data

I would like to estimate an underlying linear relationship between two variables x and y. There is significant error in both the x and y measurements, making linear regression inappropriate. However, ...
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### How do you account for suppressed values in a time series regression?

I'm analysing time series data of monthly traffic fatalities in several US states, but have come upon a problem with suppressed values. The data come from CDC WONDER, and cells with any value less ...
3k views

### Fit a Weibull distribution to…right-censored data?

Premise: I know next to nothing about survival analysis, I just started. I have a vector of failure times for some machines. Most of the machines (3362 vs 2694) are still running today, so I know they ...
793 views

### Handling null values in linear regression, which are suppose to be higher than the non-null values

I am currently doing a linear regression, where i try to predict the housing prices based on different variables that describe the house's spatial features (such as the distance to the closest city, ...
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### Censoring in survival analysis - when should I be concerned that too many patients are censored?

I review a lot of papers using observational datasets (think large secondary national databases) and many report survival. Risk tables often show substantial censoring (e.g. out of 10,000 patients, ...
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### Truncated/Censored Regression in the Multivariate Normal Case

Assume that a $n$-dimensional vector of real valued variables $\mathbf{Y}=(Y_1,...,Y_n)^T$ is given. We know that they are jointly normal which expectation vector $\boldsymbol{\mu}=(\mu_1,...,\mu_n)^T$...
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### Methods for censored covariates

I am facing the situation that I have different data sources that in principle it makes sense to combine. The outcome (independent) variable is defined the same way, but the (likely) most important ...
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### Right, Left, Interval, Delayed, and truncted data

I have a medical data set that has all the following cases: Right-censored Left-censored ...
I understand that the Heckman approach can be used if the observation rule is static and thus can be estimated easily. However, I have a panel where simply the largest $y$ among all individuals in ...