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.
553 questions
2
votes
0
answers
35
views
Sample selection problem : Incidental truncation
I was going through the proof for estimating the model in case of incidental truncation, below is the proof. The problem I'm facing to understand is why is the conditioning of $s= 1$ removed in the ...
- 21
5
votes
2
answers
95
views
Paradoxical effect of right censoring on D-calibration in survival analysis
I am examining the effect of (right-)censoring on the D-calibration of survival data sets. The data sets are completely synthetic, generated by R package coxed. I use my own code (not the package's ...
0
votes
0
answers
35
views
Which model to use for power analysis and sample size calculation for interval-censored and right-censored data?
There is a population of devices that undergo a repeating cycle of stimuli when in standby. The time in standby mode is a random variable. When called upon to operate they may either fail to operate ...
- 11
0
votes
0
answers
99
views
Using GLM to determine if there is informative censoring
Can a GLM regression be used to determine if there might be informative censoring?
For example, here are two datasets - one where censoring does not depend on values of variables and the other one ...
user492737
1
vote
1
answer
61
views
Does it make sense to analyze cumulative incidence rates at a fixed time point when most subjects have lost to follow-up?
I’m interested in the difference in cumulative incidence rates between two groups at a fixed time point (e.g., XX years).
If most subjects are lost to follow-up before that time point, would the ...
- 785
0
votes
0
answers
45
views
How to think about estimating the winning price in auctions?
I'm participating in repeated auctions for heterogenous products. I receive a few variables and then need to submit my bid. It's a first price sealed bid auction so after bidding all I know is my ...
- 1
3
votes
1
answer
114
views
Managing "administrative censoring" in survival models for credit risk
I'm building a survival model to predict time to default (Number of installments to default relative to the current pending installment). I'm strugling differenciating these two kinds of censorship (...
0
votes
0
answers
39
views
Is there any standard or common notation for censored values, in data files?
Suppose one must share a data file – could be a simple CSV file – where each datapoint has several variates, let's say a nominal one, an ordinal one, and a continuous-real one.
Are there any standard ...
- 1,356
0
votes
0
answers
125
views
Competing risk vs. IPCW
I have a survival analysis with an interesting censoring pattern that's making me question when to use inverse probability of censoring weights (IPCW) and/or competing risks analysis.
Think of the ...
- 171
1
vote
1
answer
136
views
Prediction in time-varying survival regression
I have a dataset with time-varying covariates and I fit a time-varying survival regression with the lifelines package. I am interested in the (relative) hazard those components have compared to each ...
- 675
0
votes
1
answer
57
views
Comparing Barnes maze latency data from 3 groups of animals
In a learning task the animal needs to find the escape hole and the latency is measured. If the animal does not find the hole after 120 s the latency is set to 120 s and animal is guided to the escape ...
13
votes
2
answers
304
views
Modelling a response that is the sum of possibly censored values
Some colleagues have a suite of about 10 variables that represent compounds in a sample. Some of the values in some of the variables are left censored, below the limit of detection of the lab process ...
- 51.9k
4
votes
1
answer
135
views
Censoring in time on a binary variable - cohort study
I have an experiment in which there are two groups; one group that is exposed to a treatment, and one group that is not.
I have a metric I am measuring that follows each person in each group for 21 ...
- 873
0
votes
0
answers
61
views
Model prediction is more accurate with substitued left-censored data than with imputed
I have a set of environmental variables that are left-censored (measurements of elements in my samples). I have two datasets, one dataset with samples with known origins and one dataset with samples ...
- 11
2
votes
1
answer
89
views
Ceiling Effect? Analysing when a video is paused - some people not pausing at all
A friend is writing her Master Thesis in Psychology and has the following problem:
She is using a pre-made video of a police interaction situation with citizens who escalate slowly over time. The ...
- 99