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Modelling zero-truncated overdispersed antenatal health care count data of women in Bangladesh
Overdispersion in count data analysis is very common in many practical fields of health sciences. Ignorance of the presence of overdispersion in such data analysis may cause misleading inferences and thus lead to incorrect interpretations of the results. Researchers should account for the consequenc...
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| 出版年: | PLoS One |
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| 主要な著者: | , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6959570/ https://ncbi.nlm.nih.gov/pubmed/31935274 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0227824 |
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