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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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?
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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 ...
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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 ...
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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 (...
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Interpreting diag_covar plot survival analysis Interval censored data

I am currently performing a survival analysis using the icenreg package. I am trying to find out if the proportional hazards assumption is true (doing a cox proportional hazards model), however I don'...
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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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How to simulate clustered interval-censored data in the presence of competing risks?

I would like to simulate a sample of 100 clusters of size 5 in the presence of 3 competitive risks. I would like to have right censored and interval-censored datas.
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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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Should "rake throw" data be treated as binary, Poisson, interval-censored, ordinal, or...?

I'm currently analyzing "rake throw" data (see here for details), which are a type of data I'm not as familiar with. The gist is that aquatic plant presence and abundance are often estimated ...
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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 ...
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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. $y_i$...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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. ...
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1 answer
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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 ...
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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 ...
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4 votes
1 answer
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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 ...
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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 ...
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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 ...
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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 ...
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2 votes
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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 ...
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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 ...
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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 ...
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4 votes
2 answers
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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 ...
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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 ...
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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 ...
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1 answer
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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 ...
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1 vote
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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 ...
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1 vote
1 answer
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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 ...
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2 votes
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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 ...
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3 votes
1 answer
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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 ...
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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 ...
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1 vote
0 answers
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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 $\...
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3 votes
3 answers
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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 ...
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1 answer
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Right, Left, Interval, Delayed, and truncted data

I have a medical data set that has all the following cases: Right-censored Left-censored ...
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How to fit data with an interval-censored explanatory variable?

I have a series of human growth data that I wish to fit to a 3 parameter logarithmic growth curve: s(i) = Beta0 + B1*T + B2*ln(t), where s is a length and t is an age. The only problem is that ...
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2 votes
1 answer
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Survival Analysis using interval censored data: Please help

I have a database of 22,720 nurses with four observation points say Jan 2011, Jan 2012, Jan 2013 and Jan 2014. I know at each observation point if they developed a condition or not. Some new nurses ...
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5 votes
1 answer
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Is there a way to correct for continuity for the Shapiro-Wilk test?

I wish to investigate whether endocranial volume (the volume inside the skull) is normally distributed, ideally with a sample size in the hundreds. Few studies have released their data on this subject,...
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1 answer
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Plotting survival times

I have been looking for ways to plot survival times as in the following graph And having this data: ...
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1 answer
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Right censored survival analysis with interval data in R

How do you perform a survival analysis on a data set that is right censored (i.e. some samples are removed before failure) where the measurement points are non-regular discreet intervals (i.e. failure ...
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Can an interval censored survival model be used to predict an event in a future interval?

Suppose I have an interval censored survival model in which each interval is a month long period, and there are twelve intervals (i.e. one year total). Also suppose that this model has been trained ...
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7 votes
2 answers
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Analysis of data given as intervals instead of points

I have a set of data that is not given as $ \boldsymbol{x} = x_1, \dots, x_n,$ but as pairs $\boldsymbol{x}_{interval} = (x^{(start)}_1, x^{(end)}_1), \dots, (x^{(start)}_n, x^{(end)}_n). $ For each ...
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5 votes
2 answers
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Standard practice for dealing with U flagged chemistry data

I have a large dataset of environmental chemistry data. Many results are U flagged by either the lab or validators. If I want to use these results to find average values over time I see there are ...
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