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Results for interval censored
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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. … Harell's C index and Somers' Dxy were my first choices, but I can't find a function in R to calculate it for interval-censored data. …
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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). … 0.25164955 -0.11390303 0.03152995
So the approximation of the standard error from the bootstrap is 0.75 which is right about in line, and the median of the draws comes close to the estimated coef from an interval-censored …
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Interval censored Cox proportional hazards model in R
Given interval censored survival times, how do I perform an interval censored Cox PH model in R? An rseek search turns up the package intcox, which no longer exists in the R repository. … I'm almost positive the coxph function in the survival package cannot handle interval censored survival data.
Also, I don't want to impute the data and then use the coxph function. …
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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. …
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limit of detection (interval censored) CI
My data consists of several varibales, some of which are interval censored due to machine limit of detection. …
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Mean of an interval censored random variable
It is likely that I am incorrect terminology here, but I am trying to compute a "mean" of an interval censored random variable. … Here is an example where:
1. a random sample from the standard normal distribution is discretized to create an interval censored random sample;
2. the marginal probability distribution of the sample is …
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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. … wf.print_summary()
Actual answer from Reliasoft is lambda_ = 51248, rho_ = 0.97 whereas above code using lifelines v0.24.5 is giving me lambda_ = 6447 and rho_=0.21
The last row in data is a right censored …
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Bayesian inference MCMC model for interval censored data
I have interval censored data for incubation period and I suppose that the exact time Ti included in each interval of the data [L;U] follows a lognormal distribution (mu,sigma2). …
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Error metric for cross-validation on interval-censored data?
In this case, the interval-censored data is collected as a specific check-time and then a boolean. … Most survival libraries or other statistical libraries require interval-censored to be in interval format. …
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How to fit data with an interval-censored explanatory variable?
The only problem is that this age is interval-censored - that is, the age is an estimate with a range between T(L) < U < T(R) where the true age U is some estimate between the left and right values. … Any suggestions on how to handle interval-censored explanatory data when fitting data to a logarithmic (or any) model such as the one described above. …
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Is my data interval-censored data or discrete-time data?
As I understood, if the data are not collected continuously, the researcher can use survival analysis for interval-censored data, and if some data have the same time intervals, then the researcher can … Or is it more appropriate to use interval-censored survival analysis?
If I can use the method for discrete-time data, then is it okay to set the time interval to 1 month? …
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Is there any repository with interval censored time-to-event datasets?
In particular, I need interval censored with a cure fraction data. This kind is actually popular in medicine and clinical researches, but I'm having trouble finding them for analysis. … Interval censored consists in data where the time of an event is not directly observed, but it's known to belong to an interval (usually between two inspection points). …
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How to use Cox proportional hazards model in interval-censored data with time-dependent vari...
I have survival data (n=156) which, in about half of the observations, is right-censored or interval-censored. … I'm am using R to do the analysis and I know I can use intcox() and survfit() to deal with interval-censored data. …
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interval censored survival analysis with time dependent covariates
However, the data seems to be interval censored, since exact time of death is not observed. I just know that death occurred before 2006, between 2006 and 2008 or 2008 and 2011. … I also have time-dependent covariates such as proportion elephant damage for each census interval.
Is there an R package for conducting interval-based CoxPH with time dependent covariates? …
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Survival analysis for interval censored data using deep learning
Therefore, my data is interval-censored. … Is deep learning even bothered by interval censoring? …
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