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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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How to handle intermediate observations in Weibull Models (censoring)

I'm currently working on updating previously created Weibull Models on component failure. The Situation: I have data available, that shows if a component of a machine has been exchanged (mainly ...
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impact of time to particular event on response

I am trying to evaluate which variables have the impact on the outcome. My clinical team wants to check if time to particular event has an impact on the outcome. If particular event occured, then time ...
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Inverse probability censoring weighting for selection bias using proc psmatch or any r package

I have a question that it has been proposed that if a treatment causing a censoring, and if there is an unmeasured confounder associated with censoring, as well as the outcome variables. In this case, ...
Elong Chen's user avatar
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Type of censoring in discrete time survival

*I have a prospective longitudinal study. In this study, the patients come to the hospital every three months for check-ups. T0 ( one week before surgery), T3 (Three months after surgery), T6 (6 ...
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Statistical Non-Response and Drop Out

In statistical studies, it is possible that there might be biases: Someone groups of people are more likely to be represented compared to others groups of people (e.g. poorer people have difficult ...
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Using time-to-event as a covariate

Techniques to deal with right-censored survival endpoints are well established. What if I'm interested in using the right-censored survival time as a covariate instead of a response?
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regression when both dependent and independent are both censored

I wonder if there is any technique that measures association between two censored variables. I am given a dataset that includes result from two assays, both of which have a upper detection limit. The ...
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Likelihood function for data with random censoring

The following is from Klein and Moeschberger, p. 76. Let $(T,\delta)$ be a tuple with $T = \min(X,C_r)$ and $\delta = 0$ if the lifetime X is censored and $\delta = 1$ if it is not; $C_r$ denotes the ...
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Cox Regression: handling immediate drop-outs

In an RCT with two groups, I‘m currently analyzing data using cox regression. While I‘m familiar with the concept of censoring, a rather substantial amount of participants (~32% and 35% in the groups) ...
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Right censoring deaths in length of stay studies

I've been doing some reading on length of stay studies in intensive care units. There are competing events with length of stay and death. For example, a treatment may be more effective at reducing ...
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generalized progressive hybrid censoring scheme type 1 and Muth distribution

I have data concerning failure of sodium sulfur battery cells with the following numeric values: 76,82,210,315,385,412,491,504,522,646+,678,775,884,1131,1446,1824,1827,2248,2385,3077. This dataset ...
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Is it ok to restrict data to uncensored patient in order to compare models

I have read this answer already "removing-censored-observation". I understand that removing censored data induce a bias in the analysis. But I have somehow a specific case. I am just ...
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Survival analysis with exclusive censored data

I have a question regarding survival analysis with exclusively censored data I have a set of 30 observations of length of alcohol abstinence ranging from 1 month to 120 months The issue with the study'...
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Interpretation question about the article "Finite mixture modeling of censored data using the multivariate Student-t distribution"

I am reading this article and I am struggling to understand the following passage from page 6: \begin{align*} L_{i}(\boldsymbol{\theta}|\textbf{V}_{i},\textbf{C}_{i}) = f(\textbf{V}_{i}|\textbf{C}_{i},...
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Modelling Y=min(c,X) for different c

Assume I have a random variable $X \sim Poisson(\lambda)$ which models the potential nr of people entering some room. Now consider this room has a capacity $c$ so that whenever $X > c$ we observe $...
BeechAndBirch's user avatar
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2 answers
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Long-run average cost for uniform distribution

The lifetime of a device is a continuous random variable having the continuous uniform distribution $\mathrm{Unif}(0,15)$. Suppose that under an age replacement strategy a planned replacement at age $...
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estimation in case of censorship

Suppose we want to estimate the if people agree to suppose additional funds to a project. So, the answer is whether yes (1) or no (0). If the true proportion is $p$, our goal is to estimate the value ...
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Understanding the reasoning behind Tobit composite likelihood

The Tobit model defines a likelihood for what amounts to a censored normal distribution - i.e. the tails are clipped - which is meant to be applied to data that has undergone censoring and thus has an ...
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Mean of probability weights adjusting for informative censoring

A reviewer of a paper is giving me a hard time about presenting figures which show that my time-varying probability weights have a mean of 1 across observed timepoints. My weights (unstabilized) ...
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Bias introduced by removing early censors

Suppose we have right-censored survival data on some population, and want to compare individuals with "good outcome" (who have no event in the first X months) to individuals with "bad ...
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How do right censoring and right truncation interact?

I am working with data related to time of event for some physical product. the data is current status data, also sometimes called interval censored type II data, which mean i only have one inspection ...
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Statistical test for small non-parametric dataset with more than 2 dependent groups

I’m trying to figure out the most appropriate test to use for a small water quality dataset (n = 10 sampling visits at 6 river sites, upstream to downstream) with the following characteristics: -not ...
Aisha C's user avatar
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Classification with partially censored class information

I'd like to build a classifier for my widgets! Here is my data: Class Feature 1 Feature 2 ... [1,5] 0.1 "E" ... 4 1.7 "B" ... [2,3,5] 0.8 "D" ... ... ... ... ... I....
Jonathan Che's user avatar
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Performing a survival analysis makes sense in this case?

I'm a medical student performing my final degree thesis, so sorry in advance for my little knowledge in stats. I'm performing a retrospective study on the surgical field where I want to evaluate the ...
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Modelling a proportion/percentage which is left censored

I am looking at component wear type problem, where the dependent variable is a percentage of the original wall thickness. I had read on these forums that the use of a beta regression would make sense ...
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strangely "clipped" normal distribution

I'm trying to model a behavior using a normal distribution. Now, when the range of the variable is bounded, instead of using a truncated normal distribution, values are "packed" at the ...
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Survival analysis: Clarification on left censoring

First of all: I know there are some other contributions on stackoverflow around this topic like this, but it seems to me that there is still confusion. Let's say I am working with failure data of some ...
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C-statistic with censoring data

I have analyzed a cancer dataset that contains risk factors and an outcome. However, I am dealing with many observations lost to follow-up and missing values.   I want to obtain the c-statistic, but I ...
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How does Censoring in Survival Analysis impact Confidence Intervals?

I am trying to understand why large amounts of censoring is unfavorable in survival analysis. Logically, this makes sense (ex : Why is large amounts of censoring bad in survival analysis? , in the ...
Uk rain troll's user avatar
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7 answers
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Why is large amounts of censoring bad in survival analysis?

I am trying to understand why large amounts of censoring (ie. many patients are censored) is undesirable in Survival Analysis. As a proof of concept, suppose there are 5 patients - all patients enter ...
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Counting process equality for linear rank test under AFT model

I am currently reading through the paper: Estimating Regression Parameters Using Linear Rank Tests for Censored Data - A.A. Tsiatis, Annals of Statistics 18(1): 354-372, 1990. https://projecteuclid....
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Why can't Cox-PH handle left or interval censoring?

I've been trying to find a mathematical explanation for this. Note, I'm talking about the "classic" Cox-PH, not the extensions given after to incorporate interval/left censoring. In this ...
Maverick Meerkat's user avatar
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Comparing distribution of continuous data and binned data that are compositional

The Data I have a list of N ∼ 6700 population members who have a condition and are labeled with age in whole years and biological sex. For the parent population, I have The total number of each sex (∼...
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censored gee model

Does anyone know if it is possible to fit a left censored GEE model with autoregressive correlation structure ? I know censReg can handle left censored repeated ...
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1 answer
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Retrospective survival analysis censoring

I'm doing a retrospective survival analysis where I evaluate the recurrence of disease after surgery. The problem is that some of the patients don't come again to the clinic after surgery to do the ...
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2 votes
1 answer
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Survivability Analysis whereby study drop put/ censoring indicates a positive result

I am trying to conduct a survivability analysis (particularly a Kaplain-Meier curve) on data for estimating the likelihood of university drop-outs over time. The study began in 2015 (accounting for ...
Luke Jenner's user avatar
1 vote
2 answers
197 views

Survival analysis - Kaplan Meier curve suddently drops

I'm doing a survival analysis (where i'm a newby by the way) for churn, to try to understand how long an insurance policy stays "alive". My universe are all policies that were created ...
user8419142's user avatar
3 votes
1 answer
58 views

Survival analysis if one group is all censored?

I'm analyzing 2 groups where all of the subjects in one group are still alive, i.e. one group is entirely right-censored. The other group is a mix of censored and uncensored. Is a Cox proportional ...
laetissimus's user avatar
2 votes
1 answer
110 views

Difference between left censoring and interval censoring

I'm dealing with some medical data which is made up of all admissions to hospital in a certain area, where each row is one patient admission alongside the various tests and demographic data done. Also ...
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1 answer
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Predicting hazard function before left truncation point in survival analysis

I want to know if it is not only possible to handle left-truncation of data in a survival model, but to know/predict the hazard function (probability of event) before the start point, i.e. the point ...
Matthew Horn's user avatar
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238 views

Anderson Gill counting process for recurrent events: covariates?

I have a dataset I made using Anderson-Gill counting process template. i.e each person appears in $N+1$ rows where $N$ is the number of events they had. $N$ rows for the $N$ events and 1 row for the ...
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How do i generate separate survival data which is also left-censored and interval-censored?

I am trying to generate both left-censored and interval-censored datasets which both have the same features. I wish to fit and compare a cox model, Aalen's additive model and an Accelerated failure ...
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What is pseudocomplete data?

Skimming Huang et al 2019 I see references to a term "pseudocomplete-data" that I am not familiar with. It looks like they are dealing with a data censoring problem which they approach with ...
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When fitting a Cox proportional hazards model, should we drop any observations that are right-censored at zero?

Consider the standard Cox proportional hazards setting with non-informative censoring. (See https://web.stanford.edu/~lutian/coursepdf/unitcox1.pdf for example.) If our observations are triples $(Z_i, ...
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5 votes
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Simple unbiased mean estimator for censored data

Suppose I have an i.i.d. random sample of size $n$ s.t. $X_i \sim \mathcal{N}(\mu, \sigma^2)$ for all $i$. But suppose my observed sample is left censored, such that any $x_i$ observation is replaced ...
wzbillings's user avatar
1 vote
1 answer
226 views

Simulating survival data to reflect existing complex dataset and censoring proportions

I am trying to compare the impact of different censoring proportions on different survival analysis models. For that, I plan to do a simulation study and then apply the best model on real-life child ...
Nipuni Opatha's user avatar
1 vote
1 answer
35 views

[Survival Analysis]: Handling Data Acquired after an Event Occurs

I am conducting a survival analysis to examine the impact of a set of covariates X on the time-to-event Y. However, I have collected data on participants even after the event has occurred, where the ...
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2 votes
1 answer
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Expectation of Wordle score

I am interested in determining the expectation for a person's wordle score. If the person guessed the word every time, this would be straight-forward using simple expected value calculations. ...
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Unequally right-censored survival analysis

I'm trying to do a survival analysis and I want to know how to handle unequal right-censorship. Essentially, people enter the trial at different ages and exit either at death or at the end of the ...
Charles's user avatar
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Survival analysis: how to determine time at which covariates are obtained?

I'm interested in predicting when a customer will churn, after they've turned a certain age (in this case, age 18, but this could really be any number). This piece is critical: given the domain being ...
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