PENERAPAN METODE REGRESI KUANTIL BAYESIAN PADA PEMODELAN LAMA RAWAT INAP PASIEN COVID-19

Authors

  • ANNISA RAHMADIAH
  • FERRA YANUAR
  • DODI DEVIANTO

DOI:

https://doi.org/10.25077/jmu.10.4.423-431.2021

Abstract

Penelitian ini bertujuan untuk mengetahui faktor-faktor yang mempengaruhi lama rawat inap pasien COVID-19. Dalam hal ini variabel tak bebas yang digunakan adalah data lama rawat pasien COVID-19 dengan variabel bebasnya adalah Usia, Jenis Kelamin, Diagnosa Pasien COVID-19, dan Komorbid. Data lama rawat pasien COVID-19 tidak memenuhi asumsi kenormalan sehingga diatasi dengan pendekatan pendugaan parameter menggunakan metode regresi kuantil Bayesian. Adapun pada metode ini pendugaan parameter diestimasi dengan mengasumsikan bahwa error data berdistribusi Asymmetric Laplace, yang kemudian dibentuk sebagai fungsi likelihood-nya. Pendekatan Bayesian pada regresi kuantil menggunakan MCMC dengan algoritma Gibbs sampling untuk menghasilkan mean posterior. Indikator ketepatan model diperoleh dari perhitungan nilai pseudo R2 tertinggi. Penelitian ini diperoleh kuantil 0,75 sebagai kuantil terbaik dengan variabel Komorbid sebagai variabel yang berpengaruh signifikan dalam mempengaruhi lama rawat inap pasien COVID-19.

Kata Kunci: COVID-19, Regresi Kuantil, Bayesian

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Published

21-10-2021

Issue

Vol. 10 No. 4 (2021)

Section

Articles

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