scholarly journals Remote-sensing data processing with the multivariate regression analysis method for iron mineral resource potential mapping: a case study in the Sarvian area, central Iran

Solid Earth ◽  
2018 ◽  
Vol 9 (2) ◽  
pp. 373-384 ◽  
Author(s):  
Edris Mansouri ◽  
Faranak Feizi ◽  
Alireza Jafari Rad ◽  
Mehran Arian
Keyword(s):  
Regression Analysis ◽  
Multivariate Regression ◽  
Satellite Images ◽  
Linear Equations ◽  
Remote Sensing Data ◽  
Multivariate Regression Analysis ◽  
Central Iran ◽  
Coefficient Of Determination ◽  
P Value ◽  
New Mineral

Abstract. This paper uses multivariate regression to create a mathematical model for iron skarn exploration in the Sarvian area, central Iran, using multivariate regression for mineral prospectivity mapping (MPM). The main target of this paper is to apply multivariate regression analysis (as an MPM method) to map iron outcrops in the northeastern part of the study area in order to discover new iron deposits in other parts of the study area. Two types of multivariate regression models using two linear equations were employed to discover new mineral deposits. This method is one of the reliable methods for processing satellite images. ASTER satellite images (14 bands) were used as unique independent variables (UIVs), and iron outcrops were mapped as dependent variables for MPM. According to the results of the probability value (p value), coefficient of determination value (R2) and adjusted determination coefficient (Radj2), the second regression model (which consistent of multiple UIVs) fitted better than other models. The accuracy of the model was confirmed by iron outcrops map and geological observation. Based on field observation, iron mineralization occurs at the contact of limestone and intrusive rocks (skarn type).

scholarly journals Remote sensing data processing by multivariate regression analysis method for iron mineral resource potential mapping: A case study in Sarvian area, central Iran

2017 ◽  
Author(s):  
Edris Mansouri ◽  
Faranak Feizi ◽  
Alireza Jafari Rad ◽  
Mehran Arian
Keyword(s):  
Regression Analysis ◽  
Multivariate Regression ◽  
Linear Equations ◽  
Satellite Image ◽  
Remote Sensing Data ◽  
Multivariate Regression Analysis ◽  
P Value ◽  
New Mineral ◽  
Iron Mineral ◽  
Model Versus

Abstract. This paper used multivariate regression to create a mathematical model (with reasonable accuracy) for iron skarn exploration in the region of the interest and generalizing multivariate regression in Mineral Prospectivity Mapping (MPM) field. The main target of this manuscript is to exert multivariate regression analysis (as a MPM method) to iron outcrops mapping from northeast part of the study area to discover new iron deposits in other parts. Two types of multivariate regression models as two linear equations were employed to discover new mineral deposits. The Aster satellite image bands (14 bands) sets as Unique Independent Variables (UIVs) and iron outcrops map as dependent variables were used for MPM. According to the results of p-value, R2 and R2adj, the second regression model (which was a multiples and exponents of UIVs) was the fitted model versus other models. Also the accuracy of the model was confirmed by iron outcrops map and geological observations. Based on field observation iron mineralization occurs as contact of limestone and intrusive rocks (skarn type). Iron minerals consist dominantly of magnetite, hematite and goethite.

A Study on Effect of Job Design and Ergonomics on Employee Performance in Indian Automotive Sector

Metamorphosis ◽  
2021 ◽  
pp. 097262252110337
Author(s):  
Shilki Bhatia ◽  
Arshia Arora
Keyword(s):  
Factor Analysis ◽  
Regression Analysis ◽  
Multivariate Regression ◽  
Employee Performance ◽  
Multivariate Regression Analysis ◽  
Job Design ◽  
P Value ◽  
Automotive Sector ◽  
Confirmatory Factor ◽  
Design For Safety

Growing competition and the increasing need for adaptability often require organizations to switch and convert themselves according to the demand of circumstances. In this process of reformation, employee performance gets affected by many aspects. Aiming at connecting two broad occupational concepts this article analyses and tests the effect of Job Design and Ergonomics on Employee Performance and the relatedness of Job Design and Ergonomics. The research was conducted in 32 organizations, having managers and supervisors at about 64 categories of designations handling teams of workers in the manufacturing units, of the automotive sector of India. This quantitative study, based on a sample collected through 5 points Likert scale questionnaires, was analysed using Confirmatory Factor Analysis (CFA), correlation, and multivariate regression analysis. The results manifested that CFA model and regression analysis described a significant impact of Job Design and Ergonomics on Employee Performance. The correlation outcomes revealed that Job Design and Ergonomics were well connected having p-value of .00, p < .005. The findings suggested, while focusing on improving the employee upshot, it becomes necessary for organizations to include Ergonomics in Job Design as a Design for Safety.

scholarly journals Economic Impact of Disease Progression in Medicare Patients with Relapsed Multiple Myeloma

Blood ◽  
2015 ◽  
Vol 126 (23) ◽  
pp. 2116-2116 ◽  
Author(s):  
Joanna P. MacEwan ◽  
Katharine Batt ◽  
Wes Yin ◽  
Desi Peneva ◽  
Steve Sison ◽  
...  
Keyword(s):  
Multiple Myeloma ◽  
Regression Analysis ◽  
Health Economics ◽  
Disease Progression ◽  
Multivariate Regression ◽  
Medical Costs ◽  
Multivariate Regression Analysis ◽  
P Value ◽  
Medicare Patients ◽  
The Cost

Abstract Background: Since 2005, treatment (TX) for patients with multiple myeloma (MM) has been revolutionized by the introduction of new agents that have demonstrated improved clinical outcomes. However, growing constraints on healthcare resources make it increasingly important to understand the cost burden associated with MM therapy and to evaluate the economic consequences of disease progression (DP). The goal of this study is to quantify the incremental cost of DP among patients with MM following 2L TX. Methods: A retrospective cohort study of Medicare patients with MM receiving second-line (2L) anti-MM TXs was conducted. Patients were selected from the Truven MarketScan© administrative claims database Medicare Supplemental files who had ≥2 outpatient claims or ≥1 inpatient claim with a primary International Classification of Disease 9th Revision (ICD-9) code for MM between 7/1/2006 and 12/31/2013, preceded by ≥ 6 months without a claim for MM. Patients were then followed until last visit or 12/31/2014, whichever occurred first. First line (1L) therapy included all anti-MM TXs received following the first claim for an anti-MM prescription/administration. The end of line of therapy was defined as the first day of any gap in TX > 90 days or initiation of a new salvage regimen. Patients who received 2L TX were further divided into two 2 cohorts. Cohort 1 included patients with a minimum 6-months treatment-free interval (TFI) after completing 2L TX. Patients whose disease progressed within 6 months from completion of 2L TX, as identified by the initiation of third-line (3L) TX, comprised Cohort 2. A phase-of-care approach was adopted to calculate the cost of DP. Total all-cause, medical, and anti-MM pharmacological spending were calculated using a standard cost per-patient per-month (PPPM) metric in the 6-month TFI in Cohort 1 and in the 6 months following initiation of 3L TX in Cohort 2. Unadjusted costs were compared between the two cohorts using the Mann-Whitney U-test. A multivariate regression analysis was used to adjust for baseline characteristics that may confound the observed association between DP status and cost of care. Results: A total of 986 Medicare beneficiaries met the study eligibility criteria and initiated 2L therapy in the study period and 650 had at least 6 months of cost data. Of these, 354 patients were in Cohort 1 and 296 patients were in cohort 2. Average PPPM total all-cause and all-cause medical costs were $7,031 and $4,607, respectively, with costs for patients in Cohort 2 significantly higher than costs in Cohort 1. The average PPPM total all-cause and all-cause medical costs were $2,302 and $2,041, respectively, for patients in Cohort 1 (Table 1). In the multivariate regression model, DP was the strongest predictor of total all-cause costs and was associated with an increase of $4,721 (p<0.0001) in PPPM total all-cause costs (Table 2). All-cause medical costs were $2,560 (p<.0001) higher in Cohort 2 compared with Cohort 1, suggesting that the increased costs associated with DP were not entirely attributable to anti-MM TX costs. Table 1. 6-month mean cost PPPM overall and by category DP in 6 months from the completion of 2L treatment CP-CNP CP/CNP p-Value† No (n=354) Yes (n=296) Total all-cause cost $2,302 $7,031 $4,729 3.0 0.0000 Anti-MM therapy $0 $2,685 $2,685 - - Medical cost‡ $2,041 $4,607 $2,566 2.3 0.0000 CP, cost of progression; CNP, cost of not progressing. The all-cause inpatient/outpatient and anti-MM therapy cost categories both include fees for physician administered (injected) drugs. All figures inflated to 2015$. † Mann-Whitney U -test ‡ Medical cost includes inpatient/outpatient, lab, procedure, and all other costs. Table 2. Multivariate regression analysis of mean PPPM cost Coefficient 95% CI p-value Disease progression $4,721 $3,918-$5,525 0.000 No progression Ref Notes: Ref = reference group. The model was adjusted for age, region, and gender. Conclusions: Results of this study may help quantify the economic benefits of delaying progression of MM in the real-world setting. This study indicates therapies that delay progression and extend treatment free intervals for patients with first-relapsed MM may result in cost savings, potentially offsetting the cost of therapies that have been demonstrated to yield significant clinical benefits in terms of delayed progression. Disclosures MacEwan: Precision Health Economics: Employment; Bristol-Myers Squibb: Consultancy. Batt:Bristol-Myers Squibb: Consultancy. Yin:Bristol-Myers Squibb: Consultancy. Peneva:Precision Health Economics: Employment; Bristol-Myers Squibb: Consultancy. Sison:Precision Health Economics: Employment; Bristol-Myers Squibb: Consultancy. Vine:Precision Health Economics: Employment; Bristol-Myers Squibb: Consultancy. Shah:Bristol-Myers Squibb: Employment, Other: Stocks. Chen:Bristol-Myers Squibb: Employment.

scholarly journals 1574. Multivariate Regression Analysis to Determine Independent Predictors of Treatment Outcomes in the RESTORE-IMI 2 Trial

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S785-S786
Author(s):  
Robert Tipping ◽  
Jiejun Du ◽  
Maria C Losada ◽  
Michelle L Brown ◽  
Katherine Young ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Clinical Response ◽  
Treatment Outcomes ◽  
Multivariate Regression ◽  
Multivariate Regression Analysis ◽  
Apache Ii Score ◽  
Double Blind ◽  
Mitt Population ◽  
Study Results ◽  
All Cause Mortality

Abstract Background In the RESTORE-IMI 2 trial, imipenem/cilastatin/relebactam (IMI/REL) was non-inferior to PIP/TAZ for treating hospital-acquired/ventilator-associated bacterial pneumonia (HABP/VABP) in the primary endpoint of Day 28 all-cause mortality (D28 ACM) and the key secondary endpoint of clinical response (CR) at early follow-up (EFU; 7-14 d after end of therapy). We performed a multivariate regression analysis to determine independent predictors of treatment outcomes in this trial. Methods Randomized, controlled, double-blind, phase 3, non-inferiority trial comparing IMI/REL 500 mg/250 mg vs PIP/TAZ 4 g/500 mg, every 6 h for 7-14 d, in adult patients (pts) with HABP/VABP. Stepwise-selection logistic regression modeling was used to determine independent predictors of D28 ACM and favorable CR at EFU, in the MITT population (randomized pts with ≥1 dose of study drug, except pts with only gram-positive cocci at baseline). Baseline variables (n=19) were pre-selected as candidates for inclusion (Table 1), based on clinical relevance. Variables were added to the model if significant (p &lt; 0.05) and removed if their significance was reduced (p &gt; 0.1) by addition of other variables. Results Baseline variables that met criteria for significant independent predictors of D28 ACM and CR at EFU in the final selected regression model are in Fig 1 and Fig 2, respectively. As expected, APACHE II score, renal impairment, elderly age, and mechanical ventilation were significant predictors for both outcomes. Bacteremia and P. aeruginosa as a causative pathogen were predictors of unfavorable CR, but not of D28 ACM. Geographic region and the hospital service unit a patient was admitted to were found to be significant predictors, likely explained by their collinearity with other variables. Treatment allocation (IMI/REL vs PIP/TAZ) was not a significant predictor for ACM or CR; this was not unexpected, since the trial showed non-inferiority of the two HABP/VABP therapies. No interactions between the significant predictors and treatment arm were observed. Conclusion This analysis validated known predictors for mortality and clinical outcomes in pts with HABP/VABP and supports the main study results by showing no interactions between predictors and treatment arm. Table 1. Candidate baseline variables pre-selected for inclusion Figure 1. Independent predictors of greater Day 28 all-cause mortality (MITT population; N=531) Figure 2. Independent predictors of favorable clinical response at EFU (MITT population; N=531) Disclosures Robert Tipping, MS, Merck & Co., Inc. (Employee, Shareholder) Jiejun Du, PhD, Merck & Co., Inc. (Employee, Shareholder) Maria C. Losada, BA, Merck & Co., Inc. (Employee, Shareholder) Michelle L. Brown, BS, Merck & Co., Inc. (Employee, Shareholder) Katherine Young, MS, Merck & Co., Inc. (Employee, Shareholder)Merck & Co., Inc. (Employee, Shareholder) Joan R. Butterton, MD, Merck & Co., Inc. (Employee, Shareholder) Amanda Paschke, MD MSCE, Merck & Co., Inc. (Employee, Shareholder) Luke F. Chen, MBBS MPH MBA FRACP FSHEA FIDSA, Merck & Co., Inc. (Employee, Shareholder)Merck & Co., Inc. (Employee, Shareholder)

Epicardial fat thickness as arterial hypertension predictor in normotensive patients with abdominal obesity

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
T Kuznetsova ◽  
M Druzhilov
Keyword(s):  
Blood Pressure ◽  
Regression Analysis ◽  
Blood Glucose ◽  
Waist Circumference ◽  
Arterial Hypertension ◽  
Multivariate Regression ◽  
Fasting Blood Glucose ◽  
Multivariate Regression Analysis ◽  
Epicardial Fat Thickness ◽  
Fat Thickness

Abstract Objective Arterial hypertension (HTN) is one of the most common diseases associated with obesity. Visceral obesity (VO) with dysfunctional visceral adipose tissue plays the main role in obesity induced HTN. Direct criteria of VO including echocardiographic epicardial fat thickness (EFT) may become an additional predictor of HTN. Purpose The aim was to assess the role of echocardiographic EFT (EEFT) as a predictor of HTN in normotensive patients with abdominal obesity (AO). Methods 526 normotensive men (according to ambulatory blood pressure monitoring (ABPM) without therapy) with AO (waist circumference (WC) &gt;94 cm) and SCORE &lt;5%, without cardiovascular diseases and diabetes mellitus were examined (age 45.1±5.0 years). The lipid and glucose profiles, creatinine, uric acid and C-reactive protein blood levels, albuminuria evaluation, echocardiography, carotid ultrasound, bifunctional ABPM were performed. The values of EEFT ≥75 percentile for persons 35–45 years and 46–55 years were 4.8 mm and 5.8 mm respectively. These values used as epicardial VO criteria. Patients with subclinical carotid atherosclerosis due to the lipid-lowering therapy administration (n=98) were excluded from the follow-up. Re-examination with ABPM was conducted on average through 46.3±5.1 months. Data were summarized as mean ± standard error, statistical analysis conducted with paired two-tailed t-tests, Pearson χ2 criterion and multivariate regression analysis. Results Data of 406 persons were available for analysis. HTN as average daily blood pressure ≥130/80 mm Hg was detected in 157 (38.7%) patients. These patients were characterized by initially higher values of age (45.9±4.6 years vs 44.3±4.9 years, p&lt;0.001), waist circumference (106.9±7.3 cm vs 104.2±7.3 cm, p&lt;0.001), body mass index (BMI) (32.0±3.3 kg/m2 vs 30.9±3.2 kg/m2, p&lt;0.001), average daily systolic and diastolic blood pressure (120.7/74.5±4.6/3.4 mm Hg vs 118.2/73.2±5.5/3.9 mm Hg, p&lt;0.001), EEFT (5.2±0.7 mm vs 4.4±1.0 mm, p&lt;0.001). The epicardial VO was initially detected in 95 (23.3%) patients. In patients with HTN the initial prevalence of epicardial VO was greater (58.0% vs 23.3%, p&lt;0.001). As predictors for the multivariate regression analysis the clinical and laboratory examinations data and EEFT were evaluated. According to the results a mathematical model for estimating the probability HTN was obtained: 0.696*fasting blood glucose + 0.198*systolic BP + 2.844*EFT – 40.166 (constant). Among these predictors EEFT was characterized by the highest standardized regression coefficient (0.302, p&lt;0.001) (0.295, p&lt;0.01 for fasting blood glucose, 0.035, p&lt;0.001 for systolic BP). The Hosmer-Lemeshow test value was 0.863, the total percentage of correct classifications was 86%, the area under the ROC-curve was 0.913. Conclusions EEFT (4.8 mm for persons 35–45 years and 5.8 mm for persons 46–55 years) may be an additional predictor of HTN in normotensive patients with AO. Funding Acknowledgement Type of funding source: None

Arterial stiffness could reflect increased cardiac load and reduced pulmonary function in the general population

2020 ◽  
Vol 41 (Supplement_2) ◽  
Author(s):  
S Murai ◽  
T Sugiura ◽  
Y Dohi ◽  
H Takase ◽  
T Mizoguchi ◽  
...  
Keyword(s):  
Regression Analysis ◽  
General Population ◽  
Arterial Stiffness ◽  
Pulmonary Function ◽  
Multivariate Regression ◽  
Troponin I ◽  
Augmentation Index ◽  
Smoking Status ◽  
Multivariate Regression Analysis ◽  
The Other

Abstract Background Pulmonary function is known to decrease with age and reduced pulmonary function has been reported to be associated with all-cause mortality and cardiovascular death. The association between pulmonary impairment and atherosclerosis was reported previously but has not been investigated sufficiently in the general population. Purpose We hypothesized that arterial stiffness could reflect increase of cardiac load and reduced pulmonary function. The present study aimed to investigate whether increased cardiac load and reduced pulmonary function could affect arterial stiffness in the general population. Methods Subjects undergoing their health check-up were enrolled. Plasma B-type natriuretic peptide (BNP) levels and serum high-sensitivity cardiac troponin I (hs-cTnI) levels were measured to evaluate cardiac load and myocardial damage. Radial augmentation index (rAI) was measured to investigate arterial stiffness using HEM-9000AI device. Subjects with an ST-T segment abnormality on the electrocardiogram, renal insufficiency, cancer, active inflammatory disease, or a history of cardiovascular events and pulmonary disease were excluded. Pulmonary function was assessed using spirometry by calculating forced vital capacity (FVC) as a percentage of predicted value (FVC%-predicted), forced expiratory volume in 1 second (FEV1) as a percentage of predicted value (FEV1%-predicted), and the ratio of FEV1 to FVC (FEV1/FVC). Results A total of 1100 subjects aged 57 years were enrolled and their median values of BNP and hs-cTnI were 15.5 and 2.3 pg/ml. The levels of rAI were significantly associated with the levels of BNP after adjustment for possible confounders in multivariate regression analysis, but were not with the levels of hs-TnI. While the parameters of pulmonary function were inversely associated with the levels of rAI and hs-cTnI after adjustment for possible confounders in the multivariate regression analysis, but not with the levels of BNP. The other multivariate regression analyses where BNP, hs-cTnI, parameters of pulmonary function, and the other possible factors were simultaneously included as independent variables revealed that the BNP levels and the FVC%-predicted or FEV1%-predicted, besides age, gender, smoking status, body mass index, blood pressure, heart rate, creatinine, fasting plasma glucose, and triglyceride, were significantly associated with the levels of rAI. Conclusions The significant associations of rAI with BNP and pulmonary function were revealed in the general population. These findings support that arterial stiffness could reflect increased cardiac load and reduced pulmonary function, in apparently healthy individuals. Funding Acknowledgement Type of funding source: None

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