# Exact and Asymptotic Tests for Sufficient Followup in Censored Survival Data

@inproceedings{Maller2021ExactAA, title={Exact and Asymptotic Tests for Sufficient Followup in Censored Survival Data}, author={Ross A. Maller and Sidney Resnick and Soudabeh Shemehsavar}, year={2021} }

The existence of immune or cured individuals in a population and whether there is sufficient followup in a sample of censored observations on their lifetimes to be confident of their presence are questions of major importance in medical survival analysis. So far only a few candidates have been put forward as possible test statistics for the existence of sufficient followup in a sample. Here we investigate one such statistic and give a detailed analysis, obtaining an exact finite sample as well…

## References

SHOWING 1-10 OF 18 REFERENCES

Extremes of censored and uncensored lifetimes in survival data

- MathematicsExtremes
- 2021

We consider a random censoring model for survival analysis, allowing the possibility that only a proportion of individuals in the population are susceptible to death or failure, and the remainder are…

Testing for Sufficient Follow-Up and Outliers in Survival Data

- Mathematics
- 1994

A diagnostic test for sufficient follow-up in samples where there may or may not be immunes is developed and demonstrated and its properties are demonstrated.

Splitting the Sample at the Largest Uncensored Observation

- Mathematics
- 2021

We calculate finite sample and asymptotic distributions for the largest censored and uncensored survival times, and some related statistics, from a sample of survival data generated according to an…

Survival Analysis with Long-Term Survivors

- Mathematics
- 1996

Formulating Tests for the Presence of Immunes and Sufficient Follow-up and Nonparametric Estimation and Testing and the Use of Concomitant Information.

Estimation of the Cure Rate for Distributions in the Gumbel Maximum Domain of Attraction Under Insufficient Follow-up

- Mathematics
- 2021

Estimators of the cured proportion from survival data which may include observations on cured subjects can only be expected to perform well when the follow-up period is sufficient. When follow-up…

Cure Models in Survival Analysis

- Computer Science
- 2018

The literature on cure regression models in which the event time (response) is subject to random right censoring and has a positive probability to be equal to infinity is reviewed.

The cure model and time confounded risk in the analysis of survival and other timed events.

- MathematicsJournal of clinical epidemiology
- 1991

Survivorship analysis when cure is a possibility: a Monte Carlo study.

- MathematicsStatistics in medicine
- 1984

The maximum likelihood estimation of pi and the power curves of the likelihood ratio test are discussed and Monte Carlo studies provide results for a variety of simulated trials.