# 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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### Right-censored survival fit with JAGS

Update: I got the JAGS model running and this eliminates the distracting part of my question. It's really about the proper preparation of data for dinterval() and inits. I can't find a concrete ...
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### Top-coded survey data (Income)

Top-coded income data are often modeled with a Pareto distribution, but that is controversial. What would be wrong with declaring those values as missing and then using multiple imputation (MI) to ...
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### Difference between independent and non-informative censoring

I was wondering if I could get a third opinion to settle a discussion on the distinction between independent and non-informative censoring. My definitions: 1) In independent censoring, the event ...
1answer
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### Get a desired percentage of censored observations in a simulation of Cox PH Model

This question comes from: How to simulate a Cox proportional hazards model with change point and code it in R (See answer) I want to generate a censoring variable $C=Exponential(\theta)$ that create ...
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### left-censored dependent variables and prediction

I'm coding up a monte-carlo analysis; I've got a deterministic model that depends on parameters that are uncertain. One of those uncertain parameters is a partially-observed vector of prices by ...
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### Tobit model with corner solution and selection problem

How would you estimate a model with a log transformed dependent variable with a corner at zero and a continuous distribution for strictly positive values AND an additional selection problem due to ...
1answer
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### How should I handle a left censored predictor variable in multiple regression?

I have a dataset (N=350) for which I would like to regress a neuropsychological test score (continuous) on age, education, symptom severity (continuous), and diagnosis (binary). Symptom severity is ...
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### Heckman selection model with difference-in-differences specification

Following my question on Tobit with DiD specification I am wondering if it is possible to estimate a heckman sample selection model with a Difference in Differences specification? For example in ...
1answer
815 views

### Survival analysis for nested, censored and dependent data

I have to analyse the effects of different treatments on the survival of individuals for 1 week. But: the data are 'grouped': individuals were grouped by 10, and the survival probability is ...
2answers
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### Problem with multiple group CFA with censored variables using Mplus

I'm having problems running a multigroup CFA in Mplus for my dissertation, based on the established 4-factor model of the Hamilton Depression Scale (21 items). My dataset includes 4 left censored ...
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### Imputation of a censored variable

I have a medical dataset with approx 200 variables. One of the variables is a bio-marker (concentration of a particular enzyme). It's distribution is right skew, and the problem is that values above a ...
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637 views

### Statistics for rounded data

I wonder about the existence of "standard" statistical procedures for rounded (log)normal data. Indeed, in my work I often encounter rounded data which potentially cause some problems: "awful" qqplots,...
1answer
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### Analyzing categorical data where the last category is unbounded

This is a bit of a long-winded data vis question. We're gathering data from a water quality test measuring fecal contamination. The test measures fluorescence in 11 discrete chambers. The water is ...
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751 views

### Broken Tobit regressions

I have a dataset with 43,422 observations and a left-censored (at 0) dependent variable. Of the $n$ observations, 42,536 are left-censored and 886 are not. I plan on analyzing this with a Tobit ...
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406 views

### Regression when your dependent variable is the difference between two doubly censored variables

Suppose you have a sample of $n$ outcomes and for subject $i$ you observe $Y_{i1}$ and $Y_{i2}$, which are 'before' and 'after' measurements on subject $i$. You have a single continuous independent ...
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### Problem with informative censoring

I am reading "Monte Carlo Statistical Methods" by Robert and Cassella, and problem 1.3 asks In example 1.1, the distribution of the random variable $Z=\min(X,Y)$ was of interest. Derive the ...
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### Is a snapshot of last login times a type of censored data?

I have a database of users with a field of the last time they logged in. Would this kind of data be considered "censored", and if so is there anything I can do with it beyond a histogram/density of ...
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### Time series with unusual censoring

A sequence of symbols is produced as follows: Some unknown mechanism mimics sequential drawns are made from a set of $N$ distinct symbols. So we have a series $\{a_j\}$ with $a_j\in \{1,2,\dots N\}$. ...
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### Simple case of MNAR missing data

I believe I have a very simple problem with missing data, but I'm a bit lost because all the materials I read seem to be focused on much more complicated cases. I have a random variable $X$ which has ...
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158 views

### A random censored regression problem?

Assume I have random variables $X$ and $Y$. $X$ is observable; $Y$ is not. We also know that, if $X \leq Y$, $Z = f(X,Y)$ where $Z$ is a third random variable and $f(\cdot)$ is a known function; ...
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### How do I deal with datasets that have many values out of range / over threshold?

I have a dataset of genomic information which I'm going to be comparing with various biochemical markers. Unfortunately a lot of the biochemical markers have limited ranges in their assays, so I have ...
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### Can I account for an unknown starting period while estimating reliability?

I have been going through this article on how to estimate the reliability of a device using Weibull Analysis. The article clearly states that in order to do this, I need to have information in the ...
3answers
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### Do we have a problem of “pity upvotes”?

I know, this may sound like it is off-topic, but hear me out. At Stack Overflow and here we get votes on posts, this is all stored in a tabular form. E.g.: post id voter id vote type ...
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### Testing a model with truncated data

This is probably a simple question. I'm studying events which have N outcomes, of which exactly one is correct. N is very large, more than a billion (and is known). There are many possible events, ...
2answers
112 views