Factors affecting tooth loss among rural Khon Kaen adults: Analysis of two data sets

Public Health ◽  
2007 ◽  
Vol 121 (2) ◽  
pp. 106-112 ◽  
Author(s):  
S. Chatrchaiwiwatana
Keyword(s):  
Tooth Loss ◽  
Data Sets ◽  
Factors Affecting ◽  
Khon Kaen

Analysis of truck accident rates using loglinear models

1988 ◽  
Vol 15 (3) ◽  
pp. 397-408 ◽  
Author(s):  
C. Buyco ◽  
F. F. Saccomanno
Keyword(s):  
Least Squares ◽  
Weighted Least Squares ◽  
Data Sets ◽  
Continuous Exposure ◽  
Loglinear Models ◽  
Factors Affecting ◽  
Alternative Approach ◽  
Accident Data ◽  
Least Squares Algorithm ◽  
Accident Rates

Alternative approaches for the analysis of factors affecting truck accident rates are assessed. The scope of the discussion is methodological in nature, with emphasis on exploring the limitations of each approach. Several important statistical concerns associated with the weighted least squares algorithm for calibrating loglinear models are addressed, including reduced cell membership in the contingency tables of accidents, scaling factors for measuring truck exposure, incompatibility between continuous exposure variables and categorical accident data, and sensitivity of calibrated coefficients to changes in accident characteristics for different data sets. An alternative approach for fitting loglinear models is proposed, which makes use of the generalized linear interactive models (GLIM) package. This approach assumes that the dependent variables in the contingency table of accidents behave in a Poisson-like process with values ranging from 0 to infinity. The calibration of the beta parameters in the loglinear expressions uses maximum likelihood techniques. Continuous exposure variates are incorporated into these models as offsets. As in the classical weighted least squares algorithm, this approach permits a stepwise statistical analysis of higher-order interactions for categorical accident frequency data, while adjusting directly for continuous measures of exposure. The results of a calibration of loglinear expressions for Ontario truck accident data are presented. Key words: truck accident rate, exposure, loglinear calibration, causal interaction.

Alpha diversity of Phanerozoic marine communities positively correlates with longevity of genera

Paleobiology ◽  
2009 ◽  
Vol 35 (2) ◽  
pp. 231-250 ◽  
Author(s):  
Alexander V. Markov
Keyword(s):  
Alpha Diversity ◽  
Large Data ◽  
Global Scale ◽  
Large Data Sets ◽  
Data Sets ◽  
Factors Affecting ◽  
Marine Communities ◽  
Genus Richness ◽  
Average Longevity ◽  
Major Factors

Several lines of theoretical and empirical evidence suggest that there can be a positive correlation between alpha diversity (genus richness) of marine communities (D) and average longevity of marine genera included in these communities (L). One possible reason for such a correlation is that diversity can be expected to give rise to ecosystem stability, which, in turn, may slow down the extinction of taxa. However, this hypothesis has not been verified on the global scale. The analysis of two large data sets (Sepkoski's compendium of fossil marine genera and the Paleobiology Database) shows that the correlation (1) actually exists and (2) is robust to some possible sources of errors in L and D estimation. Further analysis reveals that the correlation is not a secondary pattern caused by any of the following factors: (1) encounter probability of taxa, which is greatly influenced by differential incompleteness of the fossil record; (2) degree of sediment lithification, which is one of the major factors affecting the preservation of fossils; (3) onshore-offshore gradient; (4) parallel growth of both L and D through the Phanerozoic; (5) paleolatitudinal gradient. Although there may be other factors that influence both L and D in a similar way, the results generally confirm the hypothesis that higher alpha diversity enhances longevity of genera.

scholarly journals Whole genome and exome sequencing reference datasets from a multi-center and cross-platform benchmark study

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Yongmei Zhao ◽  
Li Tai Fang ◽  
Tsai-wei Shen ◽  
Sulbha Choudhari ◽  
Keyur Talsania ◽  
...  
Keyword(s):  
Exome Sequencing ◽  
Cancer Genomics ◽  
Data Sets ◽  
Precision Oncology ◽  
Whole Genome ◽  
Factors Affecting ◽  
Sequencing Technologies ◽  
Cross Platform ◽  
Sequencing Platforms ◽  
Reference Samples

AbstractWith the rapid advancement of sequencing technologies, next generation sequencing (NGS) analysis has been widely applied in cancer genomics research. More recently, NGS has been adopted in clinical oncology to advance personalized medicine. Clinical applications of precision oncology require accurate tests that can distinguish tumor-specific mutations from artifacts introduced during NGS processes or data analysis. Therefore, there is an urgent need to develop best practices in cancer mutation detection using NGS and the need for standard reference data sets for systematically measuring accuracy and reproducibility across platforms and methods. Within the SEQC2 consortium context, we established paired tumor-normal reference samples and generated whole-genome (WGS) and whole-exome sequencing (WES) data using sixteen library protocols, seven sequencing platforms at six different centers. We systematically interrogated somatic mutations in the reference samples to identify factors affecting detection reproducibility and accuracy in cancer genomes. These large cross-platform/site WGS and WES datasets using well-characterized reference samples will represent a powerful resource for benchmarking NGS technologies, bioinformatics pipelines, and for the cancer genomics studies.

scholarly journals Correlation of cost, time, need, access, and competence with the public interest in installing dentures at non-professional dentist

2017 ◽  
Vol 50 (1) ◽  
pp. 49
Author(s):  
Yayah Sopianah ◽  
Muhammad Fiqih Sabilillah ◽  
Ayyu Fadilah
Keyword(s):  
Public Interest ◽  
Tooth Loss ◽  
Sampling Technique ◽  
Survey Method ◽  
P Value ◽  
Emotional Impact ◽  
Missing Teeth ◽  
Factors Affecting ◽  
The Public ◽  
Competence Factor

Background: Tooth loss can be caused by trauma, caries, and periodontal disease. It then can trigger an emotional impact on each individual, such as having a lack of confidence, feeling ashamed of the appearance, and trying to hide the missing teeth. As a result, people experiencing tooth loss want to put or replace their missing teeth with artificial ones. Unfortunately, many of them prefer to visit non-professional dentists rather than professional ones providing the same services because of both internal and external factors. Purpose: This research aimed to analyze factors affecting the public interest in Losari District of Brebes Regency in 2016 to install dentures in non-professional dentists. Method: This research focused on a correlation of cost, time, need, access, and competence with denture-making care interest using survey method. Sampling was conducted with purposive sampling technique. The number of samples was thirty-six people. Result: There was a significant correlation between public interest in installing dentures at non-professional dentists and cost factor (a p value of 0.010, <a 0.05). Similarly, there was a significant correlation between public interest in installing dentures at non-professional dentists and time factor (a p value of 0.000, <a 0.05). There were significant correlations between the public interest in installing dentures at non-professional dentists and need (a p value of 0.004, <a 0.05), as well as between public interest in installing dentures at non-professional dentists and access factor (a p value of 0.000 <a 0.05). Nevertheless, there was no correlation between public interest in installing dentures at non-professional dentists and competence factor (a p value of 0.482> a 0.05). Conclusion: It can be concluded that there is a correlation between cost, time, need, and access with the public interest in installing dentures at non-professional dentists. Community competence has no correlation with public interest in installing dentures at non-professional dentists.

Using computed tomography (CT) to quantify bone properties in Scottish Blackface ewes

2005 ◽  
Vol 2005 ◽  
pp. 123-123
Author(s):  
J. Conington ◽  
S. Watts ◽  
K. McLean ◽  
N. Lambe ◽  
L. Bünger
Keyword(s):  
Computed Tomography ◽  
Genetic Variation ◽  
Bone Quality ◽  
Tooth Loss ◽  
Selective Breeding ◽  
Breeding Strategies ◽  
Factors Affecting ◽  
Bone Properties ◽  
The Uk ◽  
Successful Production

Good bone quality in breeding ewes is important for the mineralisation of foetal skeletons and to sustain maternal dentition, as tooth loss is the main reason for culling sheep in the UK. Among other functions, bone is a storage depot for calcium and other key minerals that are mobilised to meet major demands such as during lactation. As other studies in humans and poultry have shown, there is substantial genetic variation (h2 between 0.5 and 0.8) for bone properties, suggesting a similar situation in ewes. These properties, e.g. bone density, are key to successful production and nurturing of healthy lambs, which can be used in selective breeding strategies to extend breeding ewes’ productive lives. CT has been shown to be a useful method of assessing bone properties in sheep (Rubin et al., 2001). This study quantifies the main bone types in Scottish Blackface ewes and investigates environmental factors affecting bone quality.

Biased access? Exploring selection to advisory committees

2014 ◽  
Vol 7 (3) ◽  
pp. 343-372 ◽  
Author(s):  
Anne Rasmussen ◽  
Vlad Gross
Keyword(s):  
Interest Groups ◽  
Interest Group ◽  
Decision Makers ◽  
Theory Building ◽  
Data Sets ◽  
Advisory Committees ◽  
Factors Affecting ◽  
Business Interests ◽  
Selection Processes ◽  
Future Theory

The existing literature on bias in interest group access faces the challenge that there is often no clear benchmark for judging whether a given distribution of interest groups involved in policy making is biased. To tackle this challenge, we link two new data sets on registered European Union (EU) interest groups and membership of the advisory committees of the European Commission and examine the factors affecting selection to these committees. Our approach allows us to qualify the conclusions of the existing literature. We see that, even if business interests dominate advisory committees, they are not generally privileged over other group types in the selection processes and their degree of access varies considerably between policy areas. Instead, supranational interest groups enjoy selection privileges, which are particularly pronounced on permanent committees. Finally, we find some evidence that, even though lobbying budgets are important for getting access, their value varies across group types. In this way, our study has implications for future theory building on resource exchanges between interest group types and decision makers.

Factors Affecting Reliability of Interpretations of Scree Plots

1998 ◽  
Vol 83 (2) ◽  
pp. 687-694 ◽  
Author(s):  
David L. Streiner
Keyword(s):  
Real Data ◽  
Data Sets ◽  
Artificial Data ◽  
Factors Affecting ◽  
Intraclass Correlations ◽  
Computer Output

The purpose of this study was to examine factors which may affect the reliability of interpreting scree plots. Six experienced and 11 novice raters were each given 10 scree plots; 5 were taken from Cattell and Vogelmann's (1977) paper and reflected artificial data, and 5 were from real data sets. Plots were drawn to simulate computer output. Novices were slightly more reliable than experts; and both were more reliable with artificial data (intraclass correlations of .33 and .33, respectively) than with real data (intraclass correlations of .05 and .00). Eliminating the single Cattell and Vogelmann plot which had error built in resulted in higher reliabilities (.42 and .36). Thus, the reliability of interpreting plots appears poor under conditions which approximate how they are usually read: data which contain error and are plotted on graphs which have a varying ratio of X- to Y-axis scales.

scholarly journals Prevalence of Tooth Loss in A Community in The South-West of Nigeria

2014 ◽  
Vol 8 (3) ◽  
pp. 154-159
Author(s):  
OA Oremosu ◽  
OG Uti
Keyword(s):  
Tooth Loss ◽  
The Elderly ◽  
Community Dwelling ◽  
Suburban Area ◽  
Posterior Region ◽  
Factors Affecting ◽  
South West ◽  
And Gender ◽  
Missing Tooth ◽  
Previous Visit

ABSTRACT Aim The aim of this study was to determine the pattern and prevalence of tooth loss amongst community dwelling adults in a suburban area of Lagos. Methods A questionnaire based study was carried out in a community in Lagos, Nigeria. Causes, pattern and factors affecting tooth loss were elucidated. Result Prevalence of adults with at least one missing tooth was 33.6%. More than half (64.1%) of the respondents had lost their teeth for more than 5 years. Tooth loss (42.3%) was more in the lower posterior region. There was a significant association of tooth loss to increasing age, previous visit to the dentist and gender. The males had 38.7% tooth loss in the anterior region while females had more tooth loss in the posterior region. Conclusion Prevalence of tooth loss was high. Tooth loss was more in the males. A higher percentage of tooth loss was found amongst the elderly.

scholarly journals Factors affecting customers' satisfaction on service quality – the case of Duong Vy service trading limited company

2020 ◽  
Vol 4 (3) ◽  
pp. First
Author(s):  
Nguyen Anh Tuan ◽  
Nguyen Thi Vien Ly
Keyword(s):  
Customer Satisfaction ◽  
Service Quality ◽  
Quantitative Methods ◽  
Positive Impact ◽  
Data Sets ◽  
Logistics Industry ◽  
Factors Affecting ◽  
Five Factors ◽  
Business Efficiency

This study analyzes the factors affecting customer satisfaction about the service quality of businesses operating in the field of logistics, using the case study conducted at Duong Vy company. From the SERVQUAL model of Parasuraman, this study develops a model to measure the satisfaction of logistics service quality which consists of five factors, including (1) reliability, (2) responsiveness, (3) assurance, (4) empathy, and (5) tangibles. The study used quantitative methods (linear regression) to analyze data sets collected from 256 customers of Duong Vy to test the research hypotheses. The results show that responsiveness, assurances, and empathy have a positive impact on customer satisfaction. This comes from the characteristics of logistics industries that require assurance and accurate responsiveness. Therefore, the study offers some solutions for Duong Vy as well as the logistics industry to improve the quality of logistics services, such as (1) invest to improve the assessment of tangible value and customer trust; and (2) promote assurance, responsiveness, and empathy to increase customer satisfaction and enhance business efficiency.

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