- Statistical Methods Used in the Journal of Korean Academy of Rehabilitation Medicine
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Kim JH, Kim JS
- KMID: 2323032
- J Korean Acad Rehabil Med.
- 1998 Feb;22(1):46-55.
Statistical methods are widely used for the analysis of data obtained from experimental or observational studies. We examined the statistical methods used for papers published in the Journal of Korean... -
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- Significant results: statistical or clinical?
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Park S
- KMID: 2242947
- Korean J Anesthesiol.
- 2016 Apr;69(2):121-125.
- doi: 10.4097/kjae.2016.69.2.121
The null hypothesis significance test method is popular in biological and medical research. Many researchers have used this method for their research without exact knowledge, though it has both merits... -
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- Statistical notes for clinical researchers: covariance and correlation
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Kim HY
- KMID: 2406089
- Restor Dent Endod.
- 2018 Feb;43(1):e4.
- doi: 10.5395/rde.2018.43.e4
No abstract available. -
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- Analysis of periodontal data using mixed effects models
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Cho YI, Kim HY
- KMID: 2027826
- J Periodontal Implant Sci.
- 2015 Feb;45(1):2-7.
- doi: 10.5051/jpis.2015.45.1.2
A fundamental problem in analyzing complex multilevel-structured periodontal data is the violation of independency among the observations, which is an assumption in traditional statistical models (e.g., analysis of variance and... -
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- Statistical Methods for Tomographic Image Reconstruction in Nuclear Medicine
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Lee SJ
- KMID: 1484979
- Nucl Med Mol Imaging.
- 2008 Apr;42(2):118-126.
Statistical image reconstruction methods have played an important role in emission computed tomography (ECT) since they accurately model the statistical noise associated with gamma-ray projection data. Although the use of... -
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- Statistical notes for clinical researchers: the independent samples t-test
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Kim HY
- KMID: 2457506
- Restor Dent Endod.
- 2019 Aug;44(3):e26.
- doi: 10.5395/rde.2019.44.e26
No abstract available. -
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- Big Data Analysis Using Modern Statistical and Machine Learning Methods in Medicine
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Yoo C, Ramirez L, Liuzzi J
- KMID: 2232924
- Int Neurourol J.
- 2014 Jun;18(2):50-57.
In this article we introduce modern statistical machine learning and bioinformatics approaches that have been used in learning statistical relationships from big data in medicine and behavioral science that typically... -
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- Developing a Statistical Software for Predicting Hospital Bankruptcy using Data Mining Tool
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Chang HJ, Noh MS
- KMID: 2330005
- J Korean Soc Med Inform.
- 2001 Sep;7(3):9-16.
Since the hospital bankruptcy rate is increasing, it has been an important issue to predict the bankruptcy of hospital using the existing hospital management information. Fortunately, the implementation of data... -
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- Regression Models for Haplotype-Based Association Studies
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Oh SH, Namkung JH, Park TS
- KMID: 2166250
- Genomics Inform.
- 2007 Mar;5(1):19-23.
In this paper, we provide an overview of statistical models for haplotype-based association studies, and summarize their features based on the design matrix. We classify the design matrix into the... -
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- Fetal weight estimation by ultrasound: development of Indian population-based models
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Hiwale S, Misra H, Ulman S
- KMID: 2433292
- Ultrasonography.
- 2019 Jan;38(1):50-57.
- doi: 10.14366/usg.18004
PURPOSE: Existing ultrasound-based fetal weight estimation models have been shown to have high errors when used in the Indian population. Therefore, the primary objective of this study was to develop... -
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- How to Develop, Validate, and Compare Clinical Prediction Models Involving Radiological Parameters: Study Design and Statistical Methods
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Han K, Song K, Choi BW
- KMID: 2451409
- Korean J Radiol.
- 2016 Jun;17(3):339-350.
- doi: 10.3348/kjr.2016.17.3.339
Clinical prediction models are developed to calculate estimates of the probability of the presence/occurrence or future course of a particular prognostic or diagnostic outcome from multiple clinical or non-clinical parameters.... -
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- Statistical Analysis of Metagenomics Data
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Calle ML
- KMID: 2447796
- Genomics Inform.
- 2019 Mar;17(1):e6.
- doi: 10.5808/GI.2019.17.1.e6
Understanding the role of the microbiome in human health and how it can be modulated is becoming increasingly relevant for preventive medicine and for the medical management of chronic diseases.... -
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- Asian Ethnic Group Classification Model Using Data Mining
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Kim YG, Lee JH, Cho S, Kim MY, Lee SD, Ha EH, Ahn JJ
- KMID: 2379670
- Korean J Leg Med.
- 2017 May;41(2):32-40.
- doi: 10.7580/kjlm.2017.41.2.32
In addition to identifying genetic differences between target populations, it is also important to determine the impact of genetic differences with regard to the respective target populations. In recent years,... -
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- Association of Bone Mineral Density With Hearing Impairment in Postmenopausal Women in Korea
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Jung DJ, Cho HH, Lee KY
- KMID: 2360762
- Clin Exp Otorhinolaryngol.
- 2016 Dec;9(4):319-325.
- doi: 10.21053/ceo.2015.01858
OBJECTIVES: Previous studies examining the association between osteoporosis (OP) and hearing loss (HL) have shown conflicting results. The objective of the present study was to examine the association between hearing... -
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- An Introduction to Logistic Regression: From Basic Concepts to Interpretation with Particular Attention to Nursing Domain
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Park HA
- KMID: 1739479
- J Korean Acad Nurs.
- 2013 Apr;43(2):154-164.
- doi: 10.4040/jkan.2013.43.2.154
PURPOSE: The purpose of this article is twofold: 1) introducing logistic regression (LR), a multivariable method for modeling the relationship between multiple independent variables and a categorical dependent variable, and... -
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- Comparison of Predicted Outcomes of Trauma and Injury Severity Score (TRISS), Acute Physiology and Chronic Health Evaluation (APACHE) II, and Simplified Acute Physiology Score (SAPS) II Scoring Systems in Intensive-care-unit Trauma Patients
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Cho KW, Hwang SY, Hong ES
- KMID: 2194029
- J Korean Soc Emerg Med.
- 2002 Dec;13(4):434-443.
PURPOSE: Several statistical models, such as the TRISS, the APACHE II and the SAPS II scoring systems, have been utilized over the recent decades to accurately predict outcomes in Intensive... -
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- Prediction of dental caries in 12-year-old children using machine-learning algorithms
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Yang YH, Kim JS, Jeong SH
- KMID: 2471985
- J Korean Acad Oral Health.
- 2020 Mar;44(1):55-63.
- doi: 10.11149/jkaoh.2020.44.1.55
OBJECTIVES: The decayed-missing-filled (DMFT) index is a representative oral health indicator. Prediction of DMFT index is an important basis for the development of public oral health care projects and strategies... -
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- Statistical Methods for Multivariate Missing Data in Health Survey Research
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Kim DK, Park EC, Sohn MS, Kim HJ, Park HU, Ahn CH, Lim JG, Song KJ
- KMID: 2282973
- Korean J Prev Med.
- 1998 Nov;31(4):875-884.
Missing observations are common in medical research and health survey research. Several statistical methods to handle the missing data problem have been proposed. The EM algorithm (Expectation-Maximization algorithm) is one... -
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- Prediction of Daily Patient Numbers for a Regional Emergency Medical Center using Time Series Analysis
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Kam HJ, Sung JO, Park RW
- KMID: 2284528
- Healthc Inform Res.
- 2010 Sep;16(3):158-165.
- doi: 10.4258/hir.2010.16.3.158
OBJECTIVES: To develop and evaluate time series models to predict the daily number of patients visiting the Emergency Department (ED) of a Korean hospital. METHODS: Data were collected from the hospital... -
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- The Risk Rating System for Noise-induced Hearing Loss in Korean Manufacturing Sites Based on the 2009 Survey on Work Environments
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Kim YS, Cho YH, Kwon OJ, Choi SW, Rhee KY
- KMID: 2317031
- Saf Health Work.
- 2011 Dec;2(4):336-347.
OBJECTIVES: In Korea, an average of 258 workers claim compensation for their noise-induced hearing loss (NIHL) on an annual basis. Indeed, hearing disorder ranks first in the number of diagnoses... -
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