지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 한국통계학회 CSAM(Communications for Statistical Applications and Methods) CSAM(Communications for Statistical Applications and Methods) 제27권 제2호
- 발행연도
- 2020.3
- 수록면
- 225 - 239 (15page)
이용수
초록· 키워드
오류제보하기
Analysis approaches for single compositional data are well established; however, effective analysis strategies for paired compositional data remain to be investigated. The current project was motivated by studies of age-related hearing loss (presbyacusis), where subjects are classified into four audiometric phenotypes that need to be ranked within these phenotypes based on their paired compositional data. We address this challenge by formulating this problem as a classification problem and integrating a penalized multinomial logistic regression model with compositional data analysis approaches. We utilize Elastic Net for a penalty function, while considering average, absolute difference, and perturbation operators for compositional data. We applied the proposed approach to the presbyacusis study of 532 subjects with probabilities that each ear of a subject belongs to each of four presbyacusis subtypes. We further investigated the ranking of presbyacusis subjects using the proposed approach based on previous literature. The data analysis results indicate that the proposed approach is effective for ranking subjects based on paired compositional data.
목차
Abstract
1. Introduction
2. Material and methods
3. Results
4. Conclusion
References
참고문헌 (0)
참고문헌 신청함께 읽어보면 좋을 논문
논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!
-
A guideline for the statistical analysis of compositional data in immunology
CSAM(Communications for Statistical Applications and Methods)
2022 .07
-
Binary classification on compositional data
CSAM(Communications for Statistical Applications and Methods)
2021 .01
-
Statistical analysis of metagenomics data
Genomics & informatics
2019 .01
-
Compositional Changes of Human Gut Microbiota by Hemo Protein
한국미생물학회 학술대회논문집
2022 .10
-
청송 북부 화성관입체들의 조성대비에 의한 청송 암맥군의 공급원 고찰
암석학회지
2018 .06
-
Compositional changes of cacao beans during roasting process by NMR spectroscopy
한국분석과학회 학술대회
2019 .05
-
The alignment between contextual and model generalization: An application with PISA 2015
CSAM(Communications for Statistical Applications and Methods)
2024 .09
-
Chemical Compositional Bulk Analysis of Size-segregated Aerosol Particles Using ATR-FT-IR
한국대기환경학회 학술대회논문집
2015 .11
-
Exploring oral bacterial compositional network in two oral disease groups using a convergent approach of NGS-molecular diagnostics
Genes & Genomics
2024 .08
-
Hygroscopic Study on Real Ambient Aerosol Particies with X-ray Chemical Compositional Analysis
한국대기환경학회 학술대회논문집
2015 .11
-
Pyrosequencing Analysis Reveals a Compositional Shift in the Soil Microbiome Influenced by Veterinary Antibiotics Entering a Soil System
한국미생물학회 학술대회논문집
2022 .10
-
A note on standardization in penalized regressions
한국데이터정보과학회지
2015 .04
-
Compositional Variations of Biotite for Tracking Magma Dynamics : a Case Study from Syenite Fragments within Ulleung Volcano
대한지질학회 학술대회
2018 .10
-
Compositional and Functional Shift in Epibiotic Bacterial Community of Hydrothermal Vent Crab during Methane-fed Rearing
한국미생물학회 학술대회논문집
2017 .04
-
Metamorphic and deformational characteristics of compositional layering developed in meta-carbonate gneiss at the northwestern Gyeonggi Massif
대한지질학회 학술대회
2019 .10
-
Physicochemical properties of Sn selenide film obtained by RF co-sputtering
한국진공학회 학술발표회초록집
2020 .02
-
Microbiome Study of Initial Gut Microbiota from Newborn Infants to Children Reveals that Diet Determines Its Compositional Development
Journal of Microbiology and Biotechnology
2020 .01
-
구조와 조성 변화를 통한 할라이드 페로브스카이트 기반 광전소자 기술
진공이야기
2019 .03
-
Compositional variation of atranorin-related components of lichen Myelochroa leucotyliza dependent on extraction solvent and their quantitative analysis by qHNMR
극지연구소 초록집
2022 .09
-
Applying a modified AUC to gene ranking
CSAM(Communications for Statistical Applications and Methods)
2018 .05
이 논문의 저자 정보
최근 본 자료
댓글(0)
0
UCI(KEPA) : I410-ECN-0101-2023-310-001441946