Precision of rate estimation under uniform interval censoring.

Medical events are often recorded not at their time of occurrence but rather at a subsequent examination. In survival analysis, this is called interval censoring. This paper presents a relationship between the sampling error of the estimated event rate and the number of examinations, which are assum...

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Publicado en:Statistics in Medicine Vol. 27; no. 17; pp. 3442 - 3446
Autores principales: Alexander N, Alexander, Neal
Formato: research Journal Article
Publicado: Wiley-Blackwell Jul2008
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Precision of rate estimation under uniform interval censoring.
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          Alexander N
          Alexander, Neal
        affil: Tropical Epidemiology Group, London School of Hygiene and Tropical Medicine, London, UK
      sug:
        subj:
          Data Analysis, Statistical
          Epidemiological Research
          Bias (Research)
          Parasitic Diseases Epidemiology
          Selection Bias
          Survival Analysis
          Human
      ab: Medical events are often recorded not at their time of occurrence but rather at a subsequent examination. In survival analysis, this is called interval censoring. This paper presents a relationship between the sampling error of the estimated event rate and the number of examinations, which are assumed to be evenly spaced throughout the study. This relationship should help balance the cost of additional examination rounds against the precision gained.
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        Journal Article
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    language: English
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