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Dergiler / Hacettepe Journal of Mathematics and Statistics / 2004 / Cilt: 33 - Sayı:

Stochastic covariates in binary regression

Süleyman GÜNAY
Evrim ORAL
Sayfa
97–109
Yayın Tarihi
2022-10-18
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

We show that our solutions are much more precise than those obtained by treating X as non-stochastic when, in fact, it is stochastic.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Binary regression has many medical applications.
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Temel Bulgular & Veri:In applying the technique, the tradition is to assume the risk factor X as a non-stochastic variable.
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Sonuç & Katkı:We show that our solutions are much more precise than those obtained by treating X as non-stochastic when, in fact, it is stochastic.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

Binary regression has many medical applications. In applying the technique, the tradition is to assume the risk factor X as a non-stochastic variable. In most situations, however, X is stochastic. In this study, we discuss the case when X is stochastic in nature, which is more realistic from a practical point of view than X being non-stochastic. We show that our solutions are much more precise than those obtained by treating X as non-stochastic when, in fact, it is stochastic.

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Bu Makaleye Atıf Yap

GÜNAY, S., ORAL, E. (2022). Stochastic covariates in binary regression. Hacettepe Journal of Mathematics and Statistics, Cilt: 33 - Sayı:, 97–109. https://ajindex.com/articles/530813

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