scholarly journals Comprehensive approach to the tuberculosis indicators assessment of the children population in the Republic of Crimea

2021 ◽  
pp. 78-84
Author(s):  
T. N. Golubova ◽  
N. M. Ovsannikova ◽  
Z. R. Makhamova
Keyword(s):  
Multiple Regression ◽  
Regression Models ◽  
Correlation Coefficients ◽  
Pulmonary Tb ◽  
Pairwise Correlations ◽  
Multiple Regression Models ◽  
Childhood Tb ◽  
The Republic ◽  
Paired Correlation

Introduction. Childhood tuberculosis (TB) control is relevant due to the peculiarities of its course in this age group, and the TB incidence in children is an important prognostic epidemiological indicator.Aim. Use of multivariate statistical analysis to estimate and predict childhood TB indicators in the Republic of Crimea (RC).Materials and methods. The official TB statistics in the Republic of Crimea for 2014-2018 are used. The calculated means of the indicators are checked for normality using the Kolmogorov-Smirnov and Shapiro-Wilk tests. Pearson correlation analysis is applied to determine pair correlation relationships. Stepwise multiple regression analysis is carried out to determine group conditionality of the indicators, where coefficients, with which significant pairwise correlations are found, are selected as independent variables. Based on the results, multiple regression equations are made to predict the values of dependent variables. The data is processed using Statistica 10.0 software.Results. For childhood TB incidence, strong direct correlations are established with the incidence and prevalence of pulmonary TB among children. The paired correlation coefficient between the incidence of childhood TB and childhood lung TB and the detection of active TB patients in preventive examinations of children varied in the range of 0.63-0.72. For the prevalence of TB among children, strong direct correlations were found with the incidence of TB and pulmonary TB in children. Multiple correlation coefficients for the incidence and prevalence of childhood TB exceeded the values of paired correlation coefficients and were in the range of 0.93 to 0.98 (p<0.001), indicating greater significance of group conditionality of the indicators. Determination coefficients R2 were between 0.87 and 0.96. Multiple regression models were built for the childhood TB incidence, childhood lung TB incidence, childhood TB prevalence, childhood lung TB prevalence.Conclusion. The found strong direct pairwise correlations for childhood TB incidence and prevalence and childhood pulmonary TB incidence and prevalence can serve as prognostic criteria and reflect the quality of antituberculosis interventions. High values of paired correlation coefficient between childhood TB incidence and childhood pulmonary TB and detection of patients with active TB in preventive examinations of children are a criterion of quality of both TB services and primary care, which can prevent the spread of TB and improve the epidemic situation of TB in Crimea. The calculated multiple regression models for the studied indicators can serve the needs of practical forecasting in Healthcare.

scholarly journals Effects of game location, quality of opposition, number of foreign players and anthropometric characteritics in elite handball games

Kinesiology ◽  
2017 ◽  
Vol 49 (2) ◽  
pp. 194-201 ◽  
Author(s):  
Thierry Debanne ◽  
Guillaume Laffaye
Keyword(s):  
Regression Model ◽  
Multiple Regression ◽  
Regression Models ◽  
Multiple Regression Model ◽  
Previous Season ◽  
High Contribution ◽  
Anthropometric Characteristics ◽  
Multiple Regression Models ◽  
The Difference

The aims of this study were (1) to investigate the influence of game location, quality of opposition, age of players, and anthropometric characteristics of backcourt and pivot players as well as the number of foreign players in a team on goal difference between the teams in the French (LNH) and German (Bundesliga) national men’s professional leagues, and (2) to predict goal difference of match final scores in these two national leagues using a multiple regression model. Archival data were obtained from the open access official websites to collect a sample of 165 handball matches (LNH [N=89], and Bundesliga [N=76]) of the first part of the 2015/2016 regular season. The linear regression model predicted the winner in 79% of cases with a mean accuracy of four goals. The coefficients of determination found in both multiple regression models were r²=.67 and r²=.49 for the LNH and the Bundesliga, respectively. The models revealed a high contribution of the difference in the end-of-previous season goal-average per match ranking and a moderate contribution of the game location to goal difference. The models also highlighted differences in the way games were won in these leagues with a contribution of foreigners, anthropometric characteristics and age only in the Bundesliga.

scholarly journals Simulative Verification of the Possibility of using Multiple Regression Models for Real Estate Appraisal

2019 ◽  
Vol 27 (3) ◽  
pp. 109-123
Author(s):  
Sebastian Kokot ◽  
Sebastian Gnat
Keyword(s):  
Real Estate ◽  
Multiple Regression ◽  
Regression Models ◽  
Negative Impact ◽  
Real Estate Market ◽  
Real Property ◽  
The Real ◽  
Real Estate Valuation ◽  
Multiple Regression Models

Abstract The possibility of using multiple regression models in real estate valuation is the subject of disputes, both in theory and in practice. Econometric modelling is a difficult process, since a number of issues of substantive and numerical nature occur during that process. Modern technologies enable quick and easy model estimation with the use of virtually any quality of data. Naturally, it provokes property appraisers to use such models in the practice of real property valuation, particularly in mass appraisal, frequently without taking those issues into account. Consequently, the models obtained and applied in practice turn out to be of poor quality and, objectively speaking, should not serve as the basis for determining real estate value. The specificity of the real estate market and of the real properties themselves as objects traded in that market additionally exert a negative impact on the quality of the obtained models. In this article, the authors present the results of research which involved a simulation of various types of disturbances of a model artificially developed database of real estate prices and attributes as well as their impact on the quality of estimated models. The research will make it possible to answer the question of the degree and type of disturbances that are permissible in the functioning of a real estate market if the estimated models are to still satisfy the qualitative requirements defined for them, and thereby produce accurate valuation results. A model database will be disturbed by the deviation of prices from model prices and by reducing its size. Radom generators were used to obtain database disturbances.

scholarly journals 242 Effect of trucking distance on sale price of beef calf and feeder cattle lots sold through video auctions from 2010 through 2018

2020 ◽  
Vol 98 (Supplement_3) ◽  
pp. 10-11
Author(s):  
Esther D McCabe ◽  
Mike E King ◽  
Karol E Fike ◽  
Maggie J Smith ◽  
Glenn M Rogers ◽  
...  
Keyword(s):  
Multiple Regression ◽  
Regression Models ◽  
Average Weight ◽  
Sale Price ◽  
Feeder Cattle ◽  
A Value ◽  
Multiple Regression Models ◽  
Determine Effect

Abstract The objective was to determine effect of trucking distance on sale price of beef calf and feeder cattle lots sold through Superior Livestock Video Auctions from 2010 through 2018. Data analyzed were collected from 211 livestock video auctions. There were 42,043 beef calf lots and 19,680 feeder cattle lots used in these analyses. Six states (Colorado, Iowa, Kansas, Nebraska, Oklahoma, and Texas) of delivery comprised 70% of calf lots and 83% of feeder cattle lots and were used in these analyses. All lot characteristics that could be accurately quantified or categorized were used to develop multiple regression models that evaluated effects of independent factors using backwards selection. A value of P &lt; 0.05 was used to maintain a factor in the final models. Based upon reported state of origin and state of delivery, lots were categorized into one of the following trucking distance categories: 1) Within-State, 2) Short-Haul, 3) Medium-Haul, and 4) Long-Haul. Average weight and number of calves in lots analyzed was 259.2 ± 38.4 kg BW and 100.6 ± 74.3 head, respectively. Average weight and number of feeder cattle in lots analyzed was 358.4 ± 34.3 kg BW and 110.6 ± 104.1 head, respectively. Beef calf lots hauled Within-State sold for more ($169.24/45.36 kg; P &lt; 0.0001) than other trucking distance categories (Table 1). Long-Haul calf lots sold for the lowest (P &lt; 0.0001) price ($166.70/45.36 kg). Within-State and Short-Haul feeder cattle lots sold for the greatest (P &lt; 0.0001) price ($149.96 and $149.81/45.36 kg, respectively; Table 2). Long-Haul feeder cattle lots sold for the lowest (P &lt; 0.0001) price, $148.43/45.36 kg. These results indicate there is a price advantage for lots expected to be hauled shorter distances, likely because of cost and risk associated with transportation.

Multiple regression models for predicting total daily pollen concentration in Cartagena

Grana ◽  
2005 ◽  
Vol 44 (2) ◽  
pp. 108-114 ◽  
Author(s):  
José Manuel Angosto ◽  
Stella Moreno‐Grau ◽  
Javier Bayo ◽  
Belén Elvira‐Rendueles
Keyword(s):  
Multiple Regression ◽  
Regression Models ◽  
Pollen Concentration ◽  
Multiple Regression Models ◽  
Daily Pollen Concentration

Abstract WP238: Atrial Fibrillation is Associated With Severe Basal Ganglia Perivascular Spaces

Stroke ◽  
2020 ◽  
Vol 51 (Suppl_1) ◽  
Author(s):  
Alvin S Das ◽  
Elif Gokcal ◽  
Robert W Regenhardt ◽  
Andrew Warren ◽  
Kristin Schwab ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Basal Ganglia ◽  
Multiple Regression ◽  
Regression Models ◽  
Small Vessel Disease ◽  
Perivascular Spaces ◽  
Nonvalvular Atrial Fibrillation ◽  
Related Factors ◽  
Multiple Regression Models ◽  
Independent Effects

Introduction: High burdens of basal ganglia-perivascular spaces (BG-PVS) are often attributed to underlying hypertensive cerebral small vessel disease (HTN-CSVD). Although PVS are thought to arise from decreased perivascular drainage related to changes in arterial pulsatility, the contribution of pulsatility changes from nonvalvular atrial fibrillation (NVAF) has not been studied. Hypothesis: We hypothesized that NVAF patients have a higher burden of BG-PVS than HTN-CSVD patients, possibly through hemodynamic factors related to NVAF. Methods: Through an observational single-center study of consecutive stroke patients, we compared BG-EPVS severity between 136 patients with NVAF-related ischemic stroke (NVAF-IS) and 107 patients with HTN-CSVD-related intracerebral hemorrhage (HTN-ICH) without NVAF. Within the NVAF cohort, we also built multiple regression models to evaluate independent effects of NVAF-related factors on BG-PVS. All multiple regression models were adjusted for age, hypertension, sex, and neuroimaging markers of CSVD (extent of white matter hyperintensities (WMH), presence of lacunes, and cerebral microbleeds). Results: Patients with NVAF-IS were older than patients with HTN-ICH (75 + 12 vs. 64 + 13, p < 0.0001); however, there was no difference in sex between groups ( p = 0.6). Severe BG-PVS (defined as > 20 PVS in the BG) were found in 42.6% of NVAF-IS patients vs. 8.4% of HTN-ICH ( p < 0.0001). Even after multivariate adjustment, the presence of NVAF remained significantly related to BG-PVS ( p = 0.001). Within the NVAF cohort, CHA2DS2-VASc was associated with the presence of severe BG-PVS ( p = 0.003) despite controlling for other covariates. When CHA2DS2-VASc was replaced with its individual components in the same regression model, congestive heart failure (CHF, p = 0.017), WMH burden ( p = 0.009), and age ( p = 0.02) were found to be predictors of severe BG-PVS. Conclusions: Severe BG-PVS were significantly more common in NVAF patients compared to HTN-CSVD patients. NVAF-related features (CHA2DS2-VASc score) and CHF were associated with higher burdens of BG-PVS. These findings suggest that NVAF might play a role in the development of BG-PVS, conceivably through hemodynamic factors.

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