Questions tagged [interval-censoring]
Interval censoring means the value of a data point is only known to lie w/i a given interval. The most common example is when data have been rounded, eg, a value of 5 implies the original value was in the interval [4.5, 5.5).
98
questions
1
vote
1
answer
26
views
Survival model with unknown number of subjects exposed? Aka hurdle-survival model?
I have data from a live-attenuated vaccine study and I want to estimate the distribution of shedding times after vaccination. I have samples collected at multiple time points for each subject, and I ...
- 332
0
votes
1
answer
24
views
How to deal with randomly censored data for survival analyses
I have data across 8 different time-points that is both left, right, and interval censored (also randomly censored) that I am trying to use to conduct a survival analysis. The left-censoring should ...
0
votes
1
answer
42
views
Assessment of interval-censored survival models
How can I evaluate a survival model made for interval-censored data? I'm building my models in icenReg, which only allows you to check for whether the proporitional hazards assumption is satisfied. ...
- 49
0
votes
0
answers
31
views
Likelihood Function for the Two-Parameter Exponential Distribution with Interval-Censored Data
Suppose three similar items fail. For two of them we observe the exact time of failure: time 10 and time 12. For the third, all we know is that it failed between times 8 and 9, inclusive.
Suppose ...
- 278
0
votes
1
answer
30
views
Kaplan-Meier / NPMLE / semi-parametric ph survival curve troubleshooting
I've got my survival curves looking like this:
NPMLE using icenReg
semi_parametric using icenReg
and cox PH, where right side of interval is used as time of event
Why do the survival curves ...
- 49
0
votes
0
answers
55
views
Survival time intervals starting from 0- errors from Surv() and IcenReg
I'm trying to model the risk of diabetic retinopathy as a function of time between screening appointments. The outcome is interval-censored because we only know that the event occurred between the ...
- 49
0
votes
0
answers
24
views
How to compare two empirical CDFs obtained from current status data
I have failure time information of a product in the form of current status data, which looks something like this.
Observed Time($t_i$)
failed ? ($y_i$)
5 hrs
1
6 hrs
0
5 hrs
0
7 hrs
1
...
0
votes
1
answer
73
views
Why does icenReg or survival's "interval2" not accept event indicator?
In "normal" survival analysis that I'm familiar with (probably because they're very common), such as logistic regression, Cox PH, decision trees, the time to event analysis always includes ...
- 49
1
vote
1
answer
130
views
Survival analysis: difference between GLM clog-log family binomial vs GLM clog-log family Poisson
I'm trying to find ways to do survival analysis on data with asynchronous interval-censored outcomes and time-varying covariates.
I know that GLM binomial with a complementary log-log link function ...
- 49
2
votes
0
answers
211
views
Fitting truncated and censored data
I have data that is truncated on the left and censored on the right. The reason is that this is claims data, which for a claim gives the amount of the claim. The claim appears in the data:
Only if it ...
- 121
0
votes
0
answers
90
views
Survival analysis for interval censored data using deep learning
Apologies if I mess something up, I've only used Cox PH once and am only starting with deep learning!
In my project, I'm trying to estimate the best interval for screening patients for some ...
- 49
0
votes
0
answers
47
views
Piecewise exponential models with overlapping time periods
I would like to fit a piecewise exponential model using survival data. However, many of the event times are interval-censored with overlapping intervals (see the example below, where each row is an ...
1
vote
2
answers
127
views
Censored data with frequency - Weibull distribution fitting
I have the data like below.
I woud like to fit Weibull (or Gamma) distribution without multiplying each case in the interval (what fitdistrplus requires). Does anyone know smarter method?
- 11
0
votes
1
answer
73
views
Posterior distribution when it's only known that data belongs to some known interval
Suppose we know the prior distribution. When we observe a data point, say $x$, it allows us to form a posterior distribution. I was wondering what if we only know that the data point $x$ belongs to a ...
0
votes
1
answer
135
views
Estimating survival function under interval censoring
I'm trying to learn about methods for conducting survival analysis when the data consists of, for example, yearly tests. In other words, when it is discovered that an event has occurred, it's only ...
- 325
2
votes
1
answer
118
views
Pooling Survreg Results Across Multiply Imputed Datasets - Warning: log(1 - 2 * pnorm(width/2)) : NaNs produced
I am trying to run an interval regression using the survival r package (as described here https://stats.oarc.ucla.edu/r/dae/interval-regression/), but I am running into difficulties when trying to ...
- 33
0
votes
0
answers
45
views
Developing a flexible estimation strategy for longitudinal data with heavy clustering, covariates with missings and interval censoring
This is a general question for R users that are familar with interval censoring in survival analyses. I have clinical registry data at hand and aim to compare the one-year incidence for two groups (...
- 1
0
votes
1
answer
48
views
Analysis of Interval Censored Data
I am working with survival data. I have 2 groups, one for radiation and the other group for radiation/chemotherapy as adjuvant treatment for cancer. I am given an interval for every participant $(x^{(...
- 13
0
votes
1
answer
240
views
Survival Curves using Surv and survfit
I have fit a simple KM curve using the Surv and survfit functions in R. The first 6 rows of the data are shown below alongside the code used to obtain the KM curves.
...
- 823
1
vote
1
answer
992
views
"Fixed effects" Cox proportional hazards model for interval censored data with strata in R
I have a large data set where some observation-periods are right censored (no event observed), others are interval censored (event observed but timing is uncertain), and some events fall into the ...
- 75
1
vote
1
answer
494
views
Regression analysis in interval censoring with time-varying covariates
This question is a follow up to the other one asked by someone else
(Right censored survival analysis with interval data in R) and this one by me Left censoring with time-varying covariates
I have ...
- 408
0
votes
0
answers
170
views
Maximum likelihood estimation of a gamma distribution mixed with linear regression in R
I have this excercise in R and I don't know where to start. The income dataset was collected with intervals instead of the actual number. The following table shows every interval in the dataset.
$y_i$...
- 59
1
vote
0
answers
79
views
Bootstrapping to address interval censored data
I am trying to run a cox proportional hazards model on data that is interval-censored (and I guess right censored). Within this model, I believe one of my covariates' relationship should be modeled ...
- 111
1
vote
0
answers
107
views
Predicted values well outside of the censored range
I am working with an endogenous independent survey variable, $x$, which has a value range from 0 - 10, where 0 is always and 10 is never. Because the question pertains to wrongdoing, the answer to the ...
- 359
0
votes
1
answer
70
views
Measures of correlation / influence for predictors with bounded outcome
I'm doing a systematic review of epidemic models that project "the % reduction in incidence ($Y$) after K years" given a particular simulated intervention. The models include various ...
- 123
5
votes
1
answer
658
views
Survival analysis when exact time to event unknown?
My dataset (example here) represents a long-term capture-mark-recapture study, approximately 20 years duration. I am interested in looking at how the survival of animals is influenced by their sex and ...
- 789
1
vote
0
answers
29
views
IntcensROC (R package) - same AUC regardless of input parameters
I have a data frame including various continuous variables (size of a lymph node measured in different ways) and an outcome (disease-free interval).
I have used the intcensROC package to assess the ...
1
vote
0
answers
69
views
Current status data with range for exposure time
I am analyzing a dataset with current status data, meaning I know the total time of exposure for each patient and whether or not they had the event of interest during that exposure. I know the typical ...
- 4,247
1
vote
0
answers
115
views
Is there a way to perform "linear regression" with an interval censored response variable in R? [closed]
I am looking for a way to perform something like linear regression, but with an interval censored response variable (in R).
I want to know whether there is a (statistically significant) linear ...
0
votes
1
answer
485
views
Interval Censored data for WeibullFitter in Lifelines python module [closed]
I am getting different answer using lifelines module for interval censored data fitting using WeibullFitter() function.
...
1
vote
1
answer
113
views
Independence of censoring time $C$ and event time $T$ for randomised entry to a study
While reading through the textbook 'Modern Applied Statistics With S' by Venables and Ripley, I came across the following paragraph detailing the different types of censoring possible when dealing ...
- 269
4
votes
0
answers
58
views
Weighing toilet paper with an imprecise scale
A practical, topical problem: Consider a typical roll of toilet paper (TP) with perforated sheets of fairly uniform size, and suppose we're interested in the distribution of a sheet's weight $W$ but ...
- 416
4
votes
1
answer
269
views
How to compare the distributions of censored data?
Is there a way to test if the distributions of the two samples of censored data? As the data is not defined exactly, Kolmogorov-Smirnov test does not seem to be directly applicable.
Generally ...
- 165
1
vote
0
answers
130
views
Estimating the mean from interval censored data
Say you had a sample of ages from a population, but the ages are in buckets...Such as <1, 1-4, 5-14, 15-24, ..., 55-64, 65+...And you want to get an estimate for the average of the age distribution ...
10
votes
1
answer
776
views
proportional hazards model with fixed interval censoring = cloglog GLM with fixed effect of time?
Consider a survival analysis with time-constant coefficients, interval-censored, where the observation intervals are consistent across all individuals (e.g. each individual is observed at the end of ...
- 38k
0
votes
1
answer
449
views
Kaplan-Meier for interval-censoring data
I would like to ask if someone encountered the problem with a specific form of interval data in survival analysis.
How to perform the preliminary analysis (for instance Kaplan-Meier estimator) of ...
2
votes
0
answers
99
views
Parametric estimator for straightforward interval-censored data
$X_i$ is iid from some distribution, such as $N(\mu, \sigma^2)$. All I want is to estimate the parameters of the distribution. However, I don't observe $x_i$, instead, I observe $(a_i, b_i)$ such that ...
- 1,131
1
vote
1
answer
259
views
In a survival study, is interval censoring simplifiable to midtime imputation?
In epidemiological studies, it is common that event are interval censored, since an incident case (like a new diagnosis of disease) could have happened between 2 waves of data collection.
No software ...
- 1,370
-1
votes
1
answer
203
views
My dependent variable is classified in categories ,which regression model to use
My dependent variable is classified in categories as 5-10, 10-15 . Which is the best regression model for this kind of analysis.my dependent variable asks the participant of the survey to mark the ...
- 1
4
votes
2
answers
1k
views
Is there a standard way to treat events with unknown times (missing survival time data)?
Suppose we are studying some event and the observations are the pairs: time and indicator whether the event has already happened at this time. We have one observation per subject. No events happen ...
- 964
1
vote
1
answer
865
views
Simulation censored data in R
I am trying to simulate a data set of interval censored data(finite interval censored data, right censored data ,and left censored data). In fact, I created two monitoring times in R and I have the ...
- 71
1
vote
0
answers
81
views
Non-censored percentage values as Dependent Variables, which regression model?
Im working with percentage values for the first time and I looked at which models apply here. In the justification for e.g. logistic regression for percentage data I see the fact mentioned that ...
- 21
0
votes
1
answer
64
views
Generating survival times with covariates
I would like to generate the survival time from an exponential distribution via inverse transformed method. The thing is, how can we generate a survival time having the covariates (eg. age) affected ...
- 3
1
vote
0
answers
28
views
Inferring Averages from Interval Data + Sums
I have data on the number of firms reported in intervals by employment (e.g. 0-100, 100-200, etc. - $x_{1it},...,x_{nit}$), as well as the total employment ($y_{it}$) across firms in the sample- for ...
- 11
1
vote
1
answer
99
views
What is the minimum expected amount in following?
Suppose X borrowed $100 from you. Now, there is 0.8 probability that X will return >=50% of the loaned amount and 0.2 probability that <50% of the amount.
Now, is it right to say that expected ...
- 141
2
votes
1
answer
533
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 ...
- 12k
3
votes
1
answer
284
views
How to code output in survival analysis with interval data
I have data of several patients with several observation points. At each observation points we test if the patient has a condition (0) or not (1). I want to perform survival analysis on this data but ...
- 324
1
vote
0
answers
37
views
Building multivariate regression model when the response variable is interval censored (binned)
I have a dataset that describes the estimated number of seeds being released from a tree on a minute by minute basis, and environmental variables such as wind speed, temperature and relative humidity ...
- 111
1
vote
0
answers
85
views
Densitiy of order statistic when in a certain interval
$X$ is distributed with $F$, i.i.d. and with densities.
I am trying to discern an expected value for a certain order statistic $X_{k}$ under the condition that $X_{k}$ is closest to some value $\...
- 1,152
3
votes
3
answers
291
views
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 ...
- 27.2k