The proper application of logistic regression model in complex survey data: a systematic review

The proper application of logistic regression model in complex survey data: a systematic review

Abstract Background Logistic regression is a useful statistical technique commonly used in many fields like healthcare, marketing, or finance to generate insights from binary outcomes (e.g., sick vs. not sick). However, when applying logistic regression to complex survey data, which includes complex...

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Detaylı Bibliyografya
Asıl Yazarlar: Devjit Dey, Md. Samio Haque, Md. Mojahedul Islam, Umme Iffat Aishi, Sajida Sultana Shammy, Md. Sabbir Ahmed Mayen, Syed Toukir Ahmed Noor, Md. Jamal Uddin
Materyal Türü: Makale
Dil:English
Baskı/Yayın Bilgisi: BMC 2025-01-01
Seri Bilgileri:BMC Medical Research Methodology
Konular:
Logistic regression
Complex survey data
Methodological challenges
Model selection
DHS
MICS
Online Erişim:https://doi.org/10.1186/s12874-024-02454-5

Internet

https://doi.org/10.1186/s12874-024-02454-5

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