scholarly journals A Study on Statistical Modelling on Recovery Informatics of Covid19

2020 ◽  
Author(s):  
Jaydip Datta
Keyword(s):  
Regression Analysis ◽  
Rate Constant ◽  
Standard Error ◽  
Model Equation ◽  
Antiviral Drug ◽  
Statistical Modelling ◽  
Scattered Data ◽  
Pearson Coefficient ◽  
Statistical Relevance ◽  
Best Fit

Abstract In this article the positive cases of Covid19 in India with effect from 7th September, 2020 to 25th October, 2020 are analysed for statistical relevance . The scattered data are used to find out a model equation correlating two variables number of recovered Covid –patient with an interval of regular seven days . The best fit regression analysis shows a significant correlation of Pearson coefficient (r) with standard error ( s ) with a second –order rate law .The rate constant (k) obtained from this model can be simulated to stability aspects of antiviral drug modelling like Remdesivir as an objective of this work .

scholarly journals A Statistical Analysis on Recovery Cases of Covid19 in India

2020 ◽  
Author(s):  
JAYDIP DATTA
Keyword(s):  
Regression Analysis ◽  
Statistical Analysis ◽  
Mortality Rate ◽  
Standard Error ◽  
Model Equation ◽  
Scattered Data ◽  
Lower Mortality ◽  
Pearson Coefficient ◽  
Statistical Relevance ◽  
Best Fit

In this report the positive cases of Covid19 in India with effect from 7th September ,2020 to 25th October ,2020 are analysed for statistical relevance . The scattered data are used to find out a model equation correlating two variables number of recovered Covid –patient with an interval of regular seven days . The best fit regression analysis shows a significant correlation of Pearson coefficient (r) with standard error ( s ) with a probable lower mortality rate . Finally the limitations of this analysis is discussed herewith .

scholarly journals Time Trend and prediction of Grade 2 Disability among new cases of leprosy in Nepal: A Statistical Modelling

2014 ◽  
Vol 4 (3) ◽  
pp. 378-383 ◽  
Author(s):  
Brijesh Sathian ◽  
Ajay Kumar ◽  
Jayadevan Sreedharan ◽  
Indrajit Banerjee ◽  
Bedanta Roy ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Time Trends ◽  
Time Trend ◽  
Constant Term ◽  
Statistical Modelling ◽  
Inverse Model ◽  
Descriptive Statistics ◽  
Health Ministry ◽  
Data Points ◽  
Best Fit

Background  It is estimated that globally there are around 2 million people with grade 2 disabilities attributed to leprosy. Objective of the study was to find out the time trends of Grade 2 Disability among the new cases of Leprosy in Nepal. Materials and Methods A retrospective study was carried out on the data collected from the Health ministry records of Nepal, between 2009 and 2013. The annual reported numbers of Grade 2 Disability among new cases of leprosy plotted in y-axis against the corresponding year in the x-axis. Curve fitting, also known as regression analysis, was used to find the "best fit" line or curve for a series of data points. Linear, Logarithmic, Inverse, Quadratic, and Cubic were chosen to fit to the obtained curve. Descriptive statistics and statistical modelling were used for the analysis and forecasting of data. Results Including the constant term from the equation, the inverse model was the best fit, for the forecasting of the Grade 2 Disability among new cases of leprosy in Nepal [R2=0.739, p=0.062]. Using inverse model, it is estimated that 78 with CI [0, 170] of Grade 2 Disability among new cases of leprosy can be expected in Nepal by the year 2020. Conclusion Our study proves Inverse model is the best fit for epidemiological modelling of Grade 2 Disability among the new cases of Leprosy in Nepal. Prevention of disabilities should begin with diagnosing leprosy.DOI: http://dx.doi.org/10.3126/nje.v4i3.10668 Nepal Journal of Epidemiology 2014; 4(3): 378-383

scholarly journals Cephalometric Floating Norms as a Guide toward a Harmonious Individual Craniofacial Pattern among Filipinos

2009 ◽  
Vol 79 (6) ◽  
pp. 1162-1168 ◽  
Author(s):  
Marian Almyra Sevilla-Naranjilla ◽  
Ingrid Rudzki-Janson
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Standard Error ◽  
Pearson Correlation ◽  
Linear Regression Analysis ◽  
Regression Equations ◽  
Correlated Variables ◽  
The Individual

Abstract Objective: To construct a harmony box based on correlated cephalometric variables, which may serve as a valuable diagnostic tool in orthodontic treatment planning, by analyzing the harmonious relationships of existing individual craniofacial patterns among Filipinos. Materials and Methods: Eighty-one subjects, 37 females and 44 males, were selected from the student population of a University according to established inclusion criteria. Five cephalometric angular measurements were obtained and digitized. Pearson correlation coefficients described the high association among the five variables. The bivariate linear regression analysis was used to construct a harmony box, which contained the cephalometric floating norms of the five correlated variables. Multiple regression analysis and the standard error of the estimate were calculated to construct the harmony schema, which describes the individual craniofacial pattern. Results: Correlations between the five variables were significant at .001 and .05 levels. Linear regression equations with corresponding r2 and standard error of the estimate (SE) were illustrated as the harmony box. The multiple correlation coefficient R, the adjusted R2, and the SE when one of the five measured variables was predicted from the remaining four by means of a multiple regression analysis were displayed as the harmony schema. Conclusion: The cephalometric floating norms describing the individual craniofacial pattern among Filipinos were established based on five correlated variables in the form of a harmony box.

scholarly journals Regression Analysis of Bond Parameters between Corroded Rebar and Concrete Based on Reported Test Data

2018 ◽  
Vol 2018 ◽  
pp. 1-18 ◽  
Author(s):  
H. J. Zhou ◽  
Y. F. Zhou ◽  
Y. N. Xu ◽  
Z. Y. Lin ◽  
F. Xing ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Bond Strength ◽  
Crack Width ◽  
Experimental Tests ◽  
Test Results ◽  
Bond Slip ◽  
Regression Effect ◽  
Pull Out ◽  
Maximum Crack ◽  
Best Fit

Reinforcement corrosion is a major cause of degradation in reinforced concrete structures. The fragile rust layer and cracking and spalling of the cover caused by splitting stress due to rust expansion can alter bond behaviors significantly. Despite extensive experimental tests, no stochastic model has yet incorporated randomness into the bond parameters model. This paper gathered published experimental data on the bond-slip parameters of pull-out specimens and beam-end specimens. Regression analysis was carried out to identify the best fit of bond strength and the corresponding slip value in the context of different corrosion levels from the recollected test results. An F-test confirmed the regression effect to be significant. Residual data were also analyzed and found to be well described by a normal distribution. Crack width data of the tested specimens were also collected. A regression analysis of the bond strength and maximum crack width was carried out given the comparative simplicity of measuring crack width versus rebar area loss. Results indicate that maximum crack width can also be used to predict bond strength degradation with similar variation magnitude.

scholarly journals Regression Analysis-based Model Equation Predicting the Concentration of Phytoncide (Monoterpenes) - Focusing on Suri Hill in Chuncheon -

2021 ◽  
Vol 47 (6) ◽  
pp. 548-557
Author(s):  
Seog-Jong Lee ◽  
Byoung-Ug Kim ◽  
Young-Kyun Hong ◽  
Yeong-Seob Lee ◽  
Young-Hun Go ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Model Equation

scholarly journals Technical Note: Nominal Stiffness Evaluation and Regression Analysis of GT-2 Rubber-Fiberglass Timing Belts

2018 ◽  
Author(s):  
Bozun Wang ◽  
Yefei Si ◽  
Charul Chadha ◽  
James T. Allison ◽  
Albert E. Patterson
Keyword(s):  
Regression Analysis ◽  
Regression Models ◽  
Linear Models ◽  
System Modeling ◽  
Technical Note ◽  
Effective Stiffness ◽  
Modeling Error ◽  
Mechatronic Systems ◽  
Stiffness Evaluation ◽  
Best Fit

GT-style rubber-fiberglass (RF) timing belts are designed to effectively transfer rotational motion from pulleys to linear motion in small machines and mechatronic systems. One of the characteristics of belts under this type of loading condition is that the length between load and pulleys changes during operation, thereby changing their effective stiffness. It has been shown that the effective stiffness of such a belt is a function of a "nominal stiffness" and the real-time belt section lengths. However, this nominal stiffness is not necessarily constant; it is common to assume linear proportional stiffness, but this often results in system modeling error. This technical note describes a brief study where the nominal stiffness of two lengths (400 mm and 760 mm ) of GT-2 RF timing belts was tested up to breaking point; regression analysis was performed on the results to best model the observed stiffness. The study was replicated three times, providing a total of six stiffness curves. It was found that cubic regression models (R^2 > 0.999) were the best fit, but that quadratic and linear models still provided acceptable representations of the whole dataset with R^2 values above 0.940.

scholarly journals TAKSASI PRODUKSI MATA TUNAS SEBAGAI BENIH TEBU (SACHARRUM OFFICINARUM L.) DENGAN PENDEKATAN ANALISA REGRESI

2018 ◽  
Vol 25 (2) ◽  
pp. 273
Author(s):  
Ahmad Dhiaul Khuluq ◽  
Ruly Hamida
Keyword(s):  
Regression Analysis ◽  
Standard Error ◽  
Block Design ◽  
Stem Number ◽  
Central Java ◽  
Randomized Complete Block Design ◽  
Analysis Calculation ◽  
Independent Variable ◽  
Number Of Stems ◽  
Planting Method

<p>One of the problems encountered in the development of sugarcane (Sacharrum officinarum L.) includes the availability of sugarcane seed both in quality and quantity. Evaluation of bud sett planting method in seed production was required in order to achieve the expected results. The study was conducted at the experiment station Muktiharjo, Central Java in 2012 using PSJT 941 varieties. Treatments applied were the different number of buds on bud sett which were at 3 levels, 1 bud, 2 buds or 3 buds. Research was arranged in a randomized complete block design (RCBD) with 5 replications. Observations were conducted on germination, tillering, plant height, number of stems, number of suckers and number of buds. The data obtained were analyzed with ANOVA and further tested using the Duncan test. Production assessment modeling approach was performed by a regression analysis. Calculation of stem number on 2 buds showed the highest with 9.6 stems/m, 9.2 buds/stem and with the sucker numbers lowest at 0.38 suckers/m. The highest production buds was obtained at planting 2 buds with 847,848.06 buds/ha which can be used as 8.83 ha for the milled sugarcane plantation. Assessment of bud production per hectare could use equation Y = 159655,48.e0,171.X with the independent variable of stem numbers per meter with a correlation coefficient of 0,9007 and a standard error of 1,0699.</p>

Examining deceptive behaviours by attackers in rugby union: The influence of decoy runners on defensive performance

2018 ◽  
Vol 13 (6) ◽  
pp. 1100-1107 ◽  
Author(s):  
Sebastian Sherwood ◽  
Rich SW Masters ◽  
Tiaki Brett Smith
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Binary Logistic Regression ◽  
Dependent Measure ◽  
Rugby Union ◽  
Binary Logistic Regression Analysis ◽  
Observational Analysis ◽  
Psychological Mechanisms ◽  
Best Fit

Background Deceptive tactics are commonly used in sport; however, the psychological mechanisms underpinning the effectiveness of these tactics are unclear. Increasingly, in rugby union, decoy runners are used to cause deception. Multiple players in an attacking team run option lines off the ball carrier, making it possible that any of the players could receive the ball. Runners who do not receive the ball are decoys. The aim of the tactic is for the decoys to attract attention from defending players, which creates confusion about which player will receive the ball. Aim To identify behaviours of option line runners that can be used to improve the effectiveness of this deceptive tactic. Method Observational analysis of completed scrums from the 2015 Super Rugby season (n = 260) during which decoy runners were used by the attacking side. Decoy characteristics, including Hands Up, Line Change and Hands Up with Line Change were noted following each scrum. Gainline success was used as a dependent measure of the efficacy of the decoy characteristics. Characteristics were included in a binary logistic regression analysis to develop a best-fit model for gainline success. Results Hands Up, Line Change and Hands Up with Line Change significantly improved the likelihood of gainline success seven, eight and six times, respectively. Discussion We discuss possible mechanisms that underpin the effectiveness of decoy runners and make recommendations for coaches.

scholarly journals Long-term effects of citric acid-based bicarbonate haemodialysis on patient outcomes: a survival propensity score–matched study in western France

2020 ◽  
Vol 35 (7) ◽  
pp. 1228-1236 ◽  
Author(s):  
Jacky Potier ◽  
Thibault Dolley-Hitze ◽  
Didier Hamel ◽  
Isabelle Landru ◽  
Erick Cardineau ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Patient Outcomes ◽  
Cox Regression ◽  
Univariate Analysis ◽  
Long Term Effects ◽  
Cox Regression Analysis ◽  
Kaplan Meier ◽  
Statistical Relevance ◽  
All Cause Mortality

Abstract Background Citric acid–based bicarbonate haemodialysis (CIT-HD) has gained more clinical acceptance over the last few years in France and is a substitute for other acidifiers [e.g. acetic acid (CH3COOH) and hydrochloric acid (HCl)]. This trend was justified by several clinical benefits compared with CH3COOH as well as the desire to avoid the consequences of the corrosive action of HCl, but a nationwide clinical report raised concerns about the long-term safety of CIT-HD. The aim of this study was to assess the long-term effects of CIT-HD exposure on patient outcomes in western France. Methods This is a population-based retrospective multicentre observational study performed in 1132 incident end-stage kidney disease patients in five sanitary territories in western France who started their renal replacement therapy after 1 January 2008 and followed up through 15 October 2018. Relevant data, collected prospectively with the same medical software, were anonymously aggregated for the purposes of the study. The primary goal of this study was to investigate the effects of citrate exposure on all-cause mortality. To provide a control group to CIT-HD one, propensity score matching (PSM) at 2:1 was performed in two steps: the first analysis was intended to be exploratory, comparing patients who received citrate ≤80% of the time (CIT-HD ≤80) versus those who received citrate &gt;80% of the time (CIT-HD &gt;80), while the second analysis was intended to be explanatory in comparing patients with 0% (CIT-HD0) versus 100% citrate time exposure (CIT-HD100). Results After PSM, in the exploratory part of the analysis, 432 CIT-HD ≤80 patients were compared with 216 CIT-HD &gt;80 patients and no difference was found for all-cause mortality using the Kaplan–Meier model (log-rank 0.97), univariate Cox regression analysis {hazard ratio [HR] 1.01 [95% confidence interval (CI) 0.71–1.40]} and multivariate Cox regression analysis [HR 1.11 (95% CI 0.76–1.61)] when adjusted for nine variables with clinical pertinence and high statistical relevance in the univariate analysis. In the explanatory part of the analysis, 316 CIT-HD0 patients were then compared with 158 CIT-HD100 patients and no difference was found using the Kaplan–Meier model (log-rank 0.06), univariate Cox regression analysis [HR 0.69 (95% CI 0.47–1.03)] and multivariate Cox regression analysis [HR 0.87 (95% CI 0.57–1.33)] when adjusted for seven variables with clinical pertinence and high statistical relevance in the univariate analysis. Conclusions Findings of this study support the notion that CIT-HD exposure ≤6 years has no significant effect on all-cause mortality in HD patients. This finding remains true for patients receiving high-volume online haemodiafiltration, a modality most frequently prescribed in this cohort.

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