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All Journal FORUM STATISTIKA DAN KOMPUTASI CAUCHY: Jurnal Matematika Murni dan Aplikasi Desimal: Jurnal Matematika Xplore: Journal of Statistics Journal of Mathematics, Computation and Statistics (JMATHCOS) Indonesian Journal of Statistics and Its Applications
Aam Alamudi
Department Of Statistics, Bogor Agricultural University (IPB)
Computer Science & IT Decision Sciences, Operations Research & Management Education Engineering Mathematics Social Sciences Other

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Journal : CAUCHY: Jurnal Matematika Murni dan Aplikasi

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Application of Propensity Score Matching for Analyzing Factors Contributing to Pre-Diabetes Putri, Oktaviani Aisyah; Fitrianto, Anwar; Alamudi, Aam
CAUCHY: Jurnal Matematika Murni dan Aplikasi Vol 10, No 2 (2025): CAUCHY: JURNAL MATEMATIKA MURNI DAN APLIKASI
Publisher : Mathematics Department, Universitas Islam Negeri Maulana Malik Ibrahim Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.18860/cauchy.v10i2.32754

Abstract

Inappropriate comparisons between control and treatment groups can be caused by overlapping factors, usually called confounders. Propensity score methods help reduce bias from measured confounding by summarizing the distribution of multiple measured confounders into a single score, based on the probability of receiving treatment. This study applies binary logistic regression to estimate propensity scores and identify risk factors that significantly influence complications in fasting blood glucose levels. Nearest Neighbor Matching (NNM) is used with various caliper and score orders to determine the most effective combination in reducing bias. The results show that gender becomes a confounding variable. Both the order of propensity scores and caliper selection affect the outcome of the matching process. Matching with a random order and caliper yields the best result, with 99,93 percent reduction bias. The significance of the average treatment effect for treated (ATT), all condition order with caliper indicates that gender have a positive relationship and significantly affects fasting blood glucose levels. Also, based on the matching results with the best combination, it indicates that age, academic position, structural position, education level, and lecturer performance do not influence abnormal fasting blood sugar (FBS).
Co-Authors . Aunuddin Agus M Soleh Agus M Soleh Agus Soleh Akmala Firdausi Anik Djuraidah Aulia Dwi Oktavia Ayoe Indria Winuri Azira Irawan Bagus Sartono Budi Susetyo Dhika Firmansyah Dian Kusumaningrum Else Virdiani Eria, Raisa Nida Erlinda Widya Widjanarko Farit Mochamad Afendi Fitrianto, Anwar Hanifatun Nufusia Hiola, Yani Prihantini Indahwati Indonesian Journal of Statistics and Its Applications IJSA Iqbal Hanif Itasia Dina Sulvianti Kusman Sadik Mahdiyah Riaesnianda Manaf, Silmi Annisa Rizki Maya Deanti Mega Maulina Nadhif Nursyahban Ni Kadek Manik Dewantari Nisa Nur Aisyah Pika Silvianti Putri, Oktaviani Aisyah Rahardiantoro, Septian Rahma Anisa Rahma Anisa Resty Fanny Riansyah, Boy Tania Amalia Darsono Utami Dyah Syafitri Yasmin Erika Faridhan Yenni Angraini Zahid, Muhammad Farhan