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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Selecting study design ( and tests) to precise the optimal interval of checkups of engine to prevent engine major failures

I'd like to get your advice on how to select methodology and plan database variables (skeleton ) to conduct a retrospective research. there are around 60 engines, they can have major failure (main ...
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Interval variables in linear regression

Are there any R packages that alow you to regress an interval independent variable against a continuous dependent variable? I've found packages that let you do it the other way round, but I'm really ...
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ANOVA in R with an interval-censored independent variable

I would like to perform a linear regression/ANOVA where the response variable is continous and one of the predictor variables is interval-censored. I would like to do this in R. The intervals are all ...
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56 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 ...
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40 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 ...
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41 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. ...
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1answer
16 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 ...
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18 views

How to interpret left and right censoring

I am fully aware that question regrading left and right censoring has been asked before. I will however post my own question, as I believe that its focus differs significantly. Here goes: I have a ...
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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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18 views

Four different ways to deal with the log-likelihood of a probability density function (Python code included)

This is not really a question but more of a discussion. Please correct me where wrong and share your thoughts and past experience with regards to computing the likelihoods for continuous data models. ...
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32 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 ...
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46 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 ...
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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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83 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 ...
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13 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 ...
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84 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 ...
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67 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 ...
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456 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 ...
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1answer
306 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 ...
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44 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 ...
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1answer
33 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 ...
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25 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 ...
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70 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 ...
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205 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 ...
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1answer
205 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 ...
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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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57 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 $\...
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147 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 ...
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86 views

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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100 views

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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2k views

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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1answer
91 views

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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1answer
258 views

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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1answer
865 views

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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1answer
267 views

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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349 views

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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180 views

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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77 views

Is it possible to do a forecast for an interval when the data are intervals?

For example, if I had a set of intervals prices, and then we need to do a forecast for the next period time.
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Is it valid to derive a mean from categorical data?

I am working on a study to quantify average working hours for doctors. However, when I leave it empty for respondents to fill up, it remains unfilled. Changing it into categories as above yield ...
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55 views

limit of detection (interval censored) CI

I'm trying to compare data I have to other data for which I have mean and std (normally distributed). My data consists of several varibales, some of which are interval censored due to machine limit of ...
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47 views

What are methods for computing the descriptive statistics of interval measures? [closed]

I do several measurements and obtain for each: $m_i = x_i \pm \delta x_i$. What are the mean and the standard deviation of a such series of measurements?
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670 views

Software for survival regression with interval censoring and frailty

I'm conducting regression analysis on sleeping time data. The data is survey data and the answer possibilities are of type "less than 4 h", "5 h", "6 h", etc. so they can be thought to be interval ...
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1answer
368 views

Gaussian process likelihood with binned data

I have some binned data (no access to underlying info) and prior knowledge that the value in each bin smoothly varies in space. So I am modeling using a Gaussian Process prior, which according to ...
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1k views

Statistical methods for data where only a minimum/maximum value is known

Is there a branch of statistics that deals with data for which exact values are not known, but for each individual, we know either a maximum or minimum bound to the value? I suspect that my problem ...
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106 views

Should I treat my data as ordinal or interval?

I conducted a survey where I asked respondents how much they reduced their financial overhead, based on the following options: 0% (coded as 0 in my dataset) 1-10% (coded as 1) 11-25% (coded as 2, etc....
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399 views

What is the mathematically rigorous definition of chunky data?

When in the workplace, certain measurement-taking devices are subject to different numerical accuracy; in some cases, the accuracy can be pretty weak (i.e., to one or two significant values only). ...
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1answer
130 views

Inferring likely dates based on other related dates in incomplete data set

I'm taking my first steps in data science and machine learning. I'm experimenting with a project where I have no idea even what approaches I might start with, so I'd appreciate any leads: I have a ...
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1answer
229 views

Fit distribution to grouped data with unequal intervals

From a social network survey (name generator and name interpretor) I have data about frequencies of interaction ("How often are you in contact with person X?") on a scale I would interpret as interval ...
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Mis-aligned, censored, and bounded-error hierarchical annual time series

My job involves analyzing air pollutant emission estimates. I have a dataset of 5 timeseries, for which I would like to both backcast and forecast aggregate statistics (e.g. a range of expectation for ...
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690 views

Using R to determine whether log-logistic distribution is appropriate for survival model

I'm somewhat new to R, so I'm guessing this might be a basic question. In any case, I have some interval-censored data that I'm trying to fit a parametric model to. I've looked at the complementary ...