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Zero-inflated model/Evidence
Method evidence record

Zero-inflated model

A zero-inflated model is a two-component mixture regression designed for count outcomes that contain more zero values than a standard Poisson or negative binomial distribution can accommodate. One component is a binary process that generates structural zeros; the other is a count process that generates both zeros and positive counts.

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Source record

Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.

Zero-Inflated Count Regression Model
Taxonomic method record · regression-model / statistics
  • Lambert, D. (1992). Zero-inflated Poisson regression, with an application to defects in manufacturing. Technometrics, 34(1), 1–14. · DOI 10.2307/1269547
  • Zero-inflated model. Wikipedia. · URL
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Related methods

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Taxonomic bucketGeneralized Linear Modelmachine-suggested · Relational suggestion, not evidence.Same method familyHurdle Modelmachine-suggested · Relational suggestion, not evidence.Same method familyNegative Binomial Regressionmachine-suggested · Relational suggestion, not evidence.Same method familyPoisson Regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketRobust Poisson Regressionmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketSurvival Regressionmachine-suggested · Relational suggestion, not evidence.

Evidence status

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Sources

2 recorded citations, copied from the method source record.

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