• Title/Summary/Keyword: interpretation bias

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Qualitative Assessment and Development of Level of Evidence and Strength of Recommendation Models in the Field of Physical Therapy in Korea (국내 물리치료분야에 대한 질적 평가와 근거 수준 및 권고 등급 모형 개발 방안)

  • Sung-Hyoun Cho;Jeong-Woo Lee
    • Journal of The Korean Society of Integrative Medicine
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    • v.11 no.2
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    • pp.231-242
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    • 2023
  • Purpose : This study aimed to identify ways to improve the quality of physical therapy research and ultimately review the current situation to improve evidence-based decision-making in physical therapy. Methods : For better evidence-based decision-making in physical therapy, researchers should review the quality assessment of articles in more detail and report their findings for valid and appropriate level of evidence and strength of recommendations. The level of evidence affects how well the findings are derived from well-designed literature. The evaluation of the evidence focuses primarily on the study design and the degree of bias that may compromise the validity of the findings. The final recommendation is based on a combination of the study design and literature quality. To uncover gems of information in each paper, a risk of bias assessment should be performed after the literature has been initially selected. Results : Researchers should consider the complexity of the intervention, appropriate grouping, and calculation of effect sizes for the intervention. Researchers conducting systematic reviews should provide a detailed description of the quality assessment performed and present a detailed analysis of their interpretation of the results. The results of systematic reviews and meta-analyses should be interpreted with caution and include a risk of bias assessment. Guidelines for the level of evidence and strength of recommendations should be developed and utilized more broadly to improve reporting practices in physical therapy. Conclusion : Researchers should be knowledgeable about the strengths and limitations of each study design and methodology. In the future, researchers will also need to improve their ability to critically evaluate their findings, given the potential for their results to influence clinical practice.

Probability Estimation of Snow Damage on Sugi (Cryptomeria japonica) Forest Stands by Logistic Regression Model in Toyama Prefecture, Japan

  • Kamo, Ken-Ichi;Yanagihara, Hirokazu;Kato, Akio;Yoshimoto, Atsushi
    • Journal of Forest and Environmental Science
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    • v.24 no.3
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    • pp.137-142
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    • 2008
  • In this paper, we apply a logistic regression model to the data of snow damage on sugi (Cryptomeria japonica) occurred in Toyama prefecture (in Japan) in 2004 for estimating the risk probability. In order to specify the factors effecting snow damage, we apply a model selection procedure determining optimal subset of explanatory variables. In this process we consider the following 3 information criteria, 1) Akaike's information criterion, 2) Baysian information criterion, 3) Bias-corrected Akaike's information criterion. For the selected variables, we give a proper interpretation from the viewpoint of natural disaster.

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A FRAMEWORK TO UNDERSTAND THE ASYMPTOTIC PROPERTIES OF KRIGING AND SPLINES

  • Furrer Eva M.;Nychka Douglas W.
    • Journal of the Korean Statistical Society
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    • v.36 no.1
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    • pp.57-76
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    • 2007
  • Kriging is a nonparametric regression method used in geostatistics for estimating curves and surfaces for spatial data. It may come as a surprise that the Kriging estimator, normally derived as the best linear unbiased estimator, is also the solution of a particular variational problem. Thus, Kriging estimators can also be interpreted as generalized smoothing splines where the roughness penalty is determined by the covariance function of a spatial process. We build off the early work by Silverman (1982, 1984) and the analysis by Cox (1983, 1984), Messer (1991), Messer and Goldstein (1993) and others and develop an equivalent kernel interpretation of geostatistical estimators. Given this connection we show how a given covariance function influences the bias and variance of the Kriging estimate as well as the mean squared prediction error. Some specific asymptotic results are given in one dimension for Matern covariances that have as their limit cubic smoothing splines.

Gaussian Variance Filtering for Automatic Inspection of Gas Pipelines using Magnetic Flux Leakage Signal (가스 배관 자동 검사를 위한 자기 누설 신호의 가우시안 분산 필터링)

  • Han, Byung-Gil;Lee, Min-Ho;Cho, Sung-Ho;Rho, Young-Woo;Choi, Doo-Hyun
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.361-362
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    • 2006
  • Magnetic Flux Leakage (MFL) inspection is a general non-destructive testing (NDT) method to detect the corrosion of natural gas pipelines. Currently, it is subjectively analyzed by trained analysts. In spite of investing much time and human resources, the inspection results may be different according to the analysts' expertise. So, many gas suppliers are keenly interested in the automation of the interpretation process. This paper presents a Gaussian variance filtering method of MFL signals, which is taken from MFL pigging of underground pipelines. In the proposed algorithm the original MFL signals are filtered by multiple Gaussians with different variance. Experimental results show that this approach does not need to align bias and to use explicit noise reduction algorithm.

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Analysis of periodontal data using mixed effects models

  • Cho, Young Il;Kim, Hae-Young
    • Journal of Periodontal and Implant Science
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    • v.45 no.1
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    • pp.2-7
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    • 2015
  • 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 ordinary least squares regression). In many cases, aggregation (i.e., mean or sum scores) has been employed to overcome this problem. However, the aggregation approach still exhibits certain limitations, such as a loss of power and detailed information, no cross-level relationship analysis, and the potential for creating an ecological fallacy. In order to handle multilevel-structured data appropriately, mixed effects models have been introduced and employed in dental research using periodontal data. The use of mixed effects models might account for the potential bias due to the violation of the independency assumption as well as provide accurate estimates.

The Political Fandom of Korean and the Acceptance of the Film : ,(2013) vs.,(2014) (한국인의 정치적 팬덤 정서와 영화의 수용 : <변호인>,(2013)과 <국제시장>,(2014)을 중심으로)

  • Choi, Bae Suk
    • The Journal of the Korea Contents Association
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    • v.18 no.1
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    • pp.289-304
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    • 2018
  • The fandom phenomenon of political emotion originated from ideological conflicts between the conservative and the progressive amplifies social conflicts in South Korea in interpreting and accepting films as culture media. The purpose of this paper is to examine why the structure of political consciousness in South Korea is fandomized, what is the acceptance of cinema at the center of the controversy of political ideology, and what is the desirable attitude of film reception. I conducted a discourse analysis that closely examined the debates and articles on the internet regarding ,(2013) and ,(2014) which were controversial in terms of conservatism and progressivism. As a result, First, while Korean society has not constituted a consensus on modern and contemporary history, it has easily led the acceptance of cinema to the controversy surrounding the political ideology. Second, the failure of constructing consensual memories of modern and contemporary history has made the conservative and the progressive not acknowledge the other's achievements. Third, film interpretation and meaning production are ultimately the roles of the audience, and on interpretation, diversity should be respected but conformity would be rejected. Film acceptance and interpretation should focus on rational awareness of social reality and would reflect on the social ideal objectively.

Global Adult Tobacco Survey (GATS): A Case for Change in Definition, Analysis and Interpretation of "Cigarettes" and "Cigarettes Per Day" in Completed and Future Surveys

  • Jena, Pratap Kumar;Kishore, Jugal;Sarkar, Bidyut K.
    • Asian Pacific Journal of Cancer Prevention
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    • v.14 no.5
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    • pp.3299-3304
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    • 2013
  • Background: The Global Adult Tobacco Survey has 15 key indicators, cigarettes smoked per day (CPD) among daily smokers being one of them. The first wave of GATS in 14 countries indicated that mean CPD use is higher in women than men in India only, which is contrary to the current understanding of tobacco use globally. This study was undertaken to understand the unusual findings for mean CPD use in the GATS-India survey. Materials and Methods: Items B06a and B06b of the GATS India survey questionnaire that collected information on daily consumption of manufactured and rolled cigarettes were analyzed using SPSS software. Exclusive users were identified from these items after excluding the concurrent users of other tobacco products. Cigarette type, exclusive use and gender stratified analyses were made. Consumption of different types of cigarettes among the mixed users of manufactured and rolled cigarettes were correlated. Results: Higher mean number of CPD use among male daily-smokers was observed than their female counterparts in product specific analysis. Mean CPD as per GATS cigarette definition was higher in males than females for exclusive users but a reverse trend was observed in case of non-exclusive users. Use of manufactured cigarettes increased with increase in use of rolled cigarette among the mixed users and around half of these users reported equal CPD frequency for the both types of cigarettes. Conclusions: The anomaly in mean CPD estimate in GATS-India data was due to inclusion of two heterogeneous products to define cigarettes, variation in cigarette product specific user proportions contributing to the average and non-exclusive concurrent use of other tobacco products. The consumption pattern of cigarettes among the mixed users highlights bias in CPD reporting. Definition, analysis and interpretation of 'cigarettes per day' in the GATS India survey need to be improved by redefining cigarettes and making product specific analyses.

The Comparison of Graphing Abilities of pupils in grades 7 to 12 based on TOGS(The Test of Graphing in Science) (중고등학생들의 과학 그래프 작성 및 해석 능력)

  • Kim, Tae-Sun;Kim, Beom-Ki
    • Journal of The Korean Association For Science Education
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    • v.22 no.4
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    • pp.768-778
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    • 2002
  • Science teachers often suppose that students are able to know the symbolical meaning of graphs when they see the graphs. But such a assumption is not based on the firm theories but a mere image. And we need to search them for holding the abilities to construct and to interpret. In addition, unfortunately, many researchers show that they scarcely have the graphing skills. And then, The Test of Graphing in Science(TOGS) was administered to 535 7th to 12th graders, for we search them for holding the graphing abilities to some degree. Though the higher grade, the better score, they lack the first three among 9 objectives of TOGS which are scaling axes, assigning variables to the axes, using a best fit line, plotting points, translating a graph that displays the data, selecting the corresponding value for y(or x), interrelating/extrapolating graphs, describing the relationship between variables, interrelating the results of the two graphs. It was concluded from this that subjects' graph construction is lower than their graph interpretation in graph skills. It suggests that school science have a bias toward graph interpretation. This tendency represents more strikingly in the case of upper students in TOGS than the others'.

A study on the Application of Gravity Model using 1990 Seoul O/D Data (1990년 서울특별시 O/D자료를 이용한 중력모형적용에 관한 연구)

  • 임성빈;이부원
    • Journal of Korean Society of Transportation
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    • v.14 no.1
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    • pp.29-42
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    • 1996
  • Among trip distribution models, The BPR type Gravity Model is the one which is the most widely used. The key issue associated with this model is a functional form of friction factor which should be calibrated in the process, and interpretation for socioeconomic factor known as K-factor(Kij) which is used to adjust the difference between observed zone-to-zone trips and the estimated trips. In this study, the BPR type Gravity Model has been fitted to 1990 O/D data for Seoul. Two type of function form for friction factor has been employed : one is a form of Generalized function and the orther is UTP function. With above two function, the parameters for travel distance(Skin-tree) are prepared. The relationship between socioeconomic factor and trips is identified by calculating and analyzing the characteristics of Kij. Consequently, both of the friction factor functions are statistically signified. However, it show an overestimation tendency when estimated with UTP function. It is found that the Generalized function is suitable for the city of Seoul, and also, in case there are a lot of trips correlatively, the socioeconomic factor is close to 1, on the other hand if it's small, it shows a bias which is dispersed around 1.

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Experimental determination of the buckling load of rectangular plates using vibration correlation technique

  • Singhatanadgid, Pairod;Sukajit, Padol
    • Structural Engineering and Mechanics
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    • v.37 no.3
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    • pp.331-349
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    • 2011
  • This study investigates the use of a vibration correlation technique (VCT) to identify the buckling load of a rectangular thin plate. It is proposed that the buckling load can be determined experimentally using the natural frequencies of plates under tensile loading. A set of rectangular plates was tested for natural frequencies using an impact test method. Aluminum and stainless steel specimens with CCCC, CCCF and CFCF boundary conditions were included in the experiment. The measured buckling load was determined from the plot of the square of a measured natural frequency versus an in-plane load. The buckling loads from the measured vibration data match the numerical solutions very well. For specimens with well-defined boundary conditions, the average percentage difference between buckling loads from VCT and numerical solutions is -0.18% with a standard deviation of 5.05%. The proposed technique using vibration data in the tensile loading region has proven to be an accurate and reliable method which might be used to identify the buckling load of plates. Unlike other static methods, this correlation approach does not require drawing lines in the pre-buckling and post-buckling regions; thus, bias in data interpretation is avoided.