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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).

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Obtaining Incidence of death per X person years from KM survival curve?

Say I have interval censoring in my data and have derived KM curves for two groups with maximum follow up of 2 years. Death is the outcome of interest. For each group, how do I obtain number of death ...
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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 ...
anymous.asker's user avatar
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What statistical analysis test can be used to find the direction of effect?

I'm doing research on the effect of strategic video game play on students' mathematical ability. My independent variable is the number of hours spent playing strategic games daily, but my data is not ...
TheBlueRail's user avatar
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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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Is my data interval-censored data or discrete-time data?

I am trying to analyze my data using survival analysis in R and I am curious about how to identify my data. My research is an 11-month longitudinal study, and me and my colleagues collected data for ...
Han'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 (∼...
abalter's user avatar
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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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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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How do I incorporate sample size as a random variable in a latent interval censored model

I've got a dataset wherein only every third success in a series of n trials is observed. I had originally used the following Bayesian model: $$ y_i \sim \mathtt{floor}(z_i / 3) \\ z_i \sim B(n_i, p_z) ...
Lemonici's user avatar
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Survival model with nonlinear interaction between categorical and continuous predictor: how to improve fit?

I have a dataset from an experiment testing insect mortality with the following design: There are 5 doses of radiation (0, 150, 400, 750, 1000) which I scaled to 0, 0.15, 0.4, 0.75, 1 for model ...
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Calibration plot without binning predictions

Similar to ths question I would like to know how to create a calibration curve without binning my predictions. What makes my situation different, is that I'm using icenReg for my interval-censored ...
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Defining states in Multi-State model

I am looking to build a multi state model some packages for instance in R are for panel or intermittently observed data (msm ...
te time's user avatar
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Confused about the censoring procedure in Helsel (2012) book

Reading Helsel STATISTICS FOR CENSORED ENVIRONMENTAL DATA USING MINITAB AND R, at page xviii the author writes: The Figure i4 shows concentration (y) levels versus distance (x) downstream. What ...
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survreg not appropriate for double-censored data?

I'm consulting with a local quantitative person about some data, it's double-censored. Left censored is below limit of quantitation. Right censored is saturation of the assay. I want to regress it ...
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mean and MSE of Interval censored data

I have been handed data that is interval censored where left censoring is limit of detection and right censoring is saturation of the assay. How do I estimate the means and mean standard errors of ...
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Time intervals without events in event history models with competing risks (e.g., Cox, piecewise constant, logit)

I want to evaluate factors influencing the time to degree for college students in their master's degree with panel data. The dependent variable is time to degree in months (reference: student is still ...
Justaquestion's user avatar
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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 ...
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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 ...
user21027866's user avatar
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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. ...
Wojty's user avatar
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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 ...
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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 ...
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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 ...
aishik roy chaudhury's user avatar
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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 ...
Wojty's user avatar
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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 ...
Wojty's user avatar
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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 ...
Meth's user avatar
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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 ...
Wojty's user avatar
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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 ...
phoenix22's user avatar
1 vote
2 answers
281 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?
user361520's user avatar
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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 ...
estellabg's user avatar
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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 ...
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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 ...
Rachel's user avatar
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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 (...
Fred's user avatar
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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^{(...
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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. ...
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"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 ...
Guido Biele's user avatar
1 vote
2 answers
946 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 ...
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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. $y_i$...
Seb's user avatar
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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 ...
rprog's user avatar
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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 ...
Tom's user avatar
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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 ...
jessexknight's user avatar
5 votes
1 answer
966 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 ...
Pat Taggart's user avatar
1 vote
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32 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 ...
jean benoit TANIS's user avatar
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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 ...
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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 ...
MischiefManaged's user avatar
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1 answer
726 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. ...
user283479's user avatar
1 vote
1 answer
177 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 ...
Will's user avatar
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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 ...
Adam Hafdahl's user avatar
4 votes
1 answer
421 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 ...
Yulia V's user avatar
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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 ...
Do not reinstate Monica's user avatar
13 votes
1 answer
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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 ...
Ben Bolker's user avatar