Age-related bias in probabilistic death searches due to neglect of the 'prior likelihoods'
| Autor: | Howard B. Newcombe |
|---|---|
| Rok vydání: | 1995 |
| Předmět: |
Adult
Male Prior odds Adolescent Databases Factual Computer science media_common.quotation_subject Medicine (miscellaneous) Neglect Odds Bias Age related Statistics Econometrics Odds Ratio Humans Mortality Child media_common Aged Probability Aged 80 and over Likelihood Functions Computers Probabilistic logic Age Factors Infant Newborn Infant Odds ratio Middle Aged Identifier Mortality data Child Preschool Female |
| Zdroj: | Computers and biomedical research, an international journal. 28(2) |
| ISSN: | 0010-4809 |
| Popis: | Major systematic bias can result when age-specific mortality data are sought through automated searches of large national death files, based on calculated odds in favor of a correct match. The bias occurs whenever the calculation fails to take into account: (a) the size of the death file being searched and (b) the age dependent likelihood that individual search record will find a correct match somewhere in that file. Indeed, there is widespread neglect of the "prior likelihood" or "prior odds" in favor of a fortuitous correct match on a single random pairing (i.e., before the identifiers have been compared). As a result, ratios of false matches to false nonmatches may be expected to vary widely in the different strata of a breakdown by age. A solution is described, using data from life tables and death statistics. The flexibility and merit of the "prior odds" for general application is emphasized. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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