NORMALIZED SPACING PROCEDURE FOR ESTIMATING STAGGERED PATIENTS ENTRY TIMES FOR CENSORED VALUES IN CLINICAL TRIAL

The study was carried out to provide a general procedure to estimate censored data. Parameters in censored data are not estimated in the same way that those in uncensored data are. Problems in estimating survival time events are compounded due to inappropriate choice of starting time in survival studies. Normalized spacingprocedure for handling censored data are investigated by using the proposed generalized model. Survival times are arranged to start from time zero and thereby eliminating truncations in the algorithm. Recursive partitioning for placing of the survival time are used to normalize spacing of intervals so that at least an event time (failure time) is located in every interval for easy possible parameter estimation. Simulations showed that the generalized algorithm developed was better and adequate.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-01-21
DOI
https://doi.org/10.5281/zenodo.18329308
Primary Topic
Statistical Methods and Inference
Type
article
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article

NORMALIZED SPACING PROCEDURE FOR ESTIMATING STAGGERED PATIENTS ENTRY TIMES FOR CENSORED VALUES IN CLINICAL TRIAL

Eric Boahen
Zenodo (CERN European Organization for Nuclear Research)
Statistical Methods and Inference
article

NORMALIZED SPACING PROCEDURE FOR ESTIMATING STAGGERED PATIENTS ENTRY TIMES FOR CENSORED VALUES IN CLINICAL TRIAL

Eric Boahen
article en

Abstract

The study was carried out to provide a general procedure to estimate censored data. Parameters in censored data are not estimated in the same way that those in uncensored data are. Problems in estimating survival time events are compounded due to inappropriate choice of starting time in survival studies. Normalized spacingprocedure for handling censored data are investigated by using the proposed generalized model. Survival times are arranged to start from time zero and thereby eliminating truncations in the algorithm. Recursive partitioning for placing of the survival time are used to normalize spacing of intervals so that at least an event time (failure time) is located in every interval for easy possible parameter estimation. Simulations showed that the generalized algorithm developed was better and adequate.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 85%
Statistical Methods and Inference
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