P1.04-62 Nomogram Based on Multivariable Regression Model Estimates the Overall Survival of Nivolumab for Previously Treated Advanced NSCLC

To predict the daily air pollutants, the fractional multivariable model is established. The hybrid model of the grey multivariable regression model with fractional order accumulation model (FGM(0, m)) and support vector regression model (SVR) is used to predict the air pollutants (PM10, PM2.5, and NO2) from December 31, 2018, to January 3, 2019, in Shijiazhuang and Chongqing. The absolute percentage errors (APEs) are used to determine the weights of the FGM(0, m) and SVR. Meanwhile, the Holt–Winters model is used to predict the air quality pollutants for the same location and period. When the mean absolute percent error (MAPE) is 0%–20%, it indicates that the model has good accuracy of fitting and prediction. The MAPE of the hybrid model is less than 20%. It is shown that except for the PM2.5 concentration prediction in Shijiazhuang (13.7%), the MAPE between the forecasting and actual values of the three air pollutants in Shijiazhuang and Chongqing was less than 10%.

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Modelling copper adsorption on olivine process dust using a simple linear multivariable regression model

Minerals Engineering ◽

10.1016/s0892-6875(02)00173-5 ◽

2002 ◽

Vol 15 (10) ◽

pp. 737-744 ◽

Cited By ~ 5

Author(s):

R.A Kleiv ◽

K.L Sandvik

Keyword(s):

Regression Model ◽

Copper Adsorption ◽

Multivariable Regression Model ◽

Multivariable Regression

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Fatty Liver is Associated with Low N-terminal pro-B-type Natriuretic Peptide in a Healthy Population: From the Kangbuk Samsung Health Study

10.21203/rs.3.rs-139845/v1 ◽

2021 ◽

Author(s):

Hyo-In Choi ◽

Mi Yeon Lee ◽

Byeong Kil Oh ◽

Seung Jae Lee ◽

Jeong Gyu Kang ◽

...

Keyword(s):

Insulin Resistance ◽

Regression Model ◽

Natriuretic Peptide ◽

Abdominal Ultrasound ◽

Health Study ◽

Large Set ◽

Model Assessment ◽

Multivariable Regression Model ◽

Multivariable Regression ◽

The Impact

Abstract BackgroundFatty liver (FL), insulin resistance (IR), and obesity often coexist, but data on the independent impacts of these factors on N-terminal pro-B-type natriuretic peptide (NT-proBNP) levels in healthy populations are scarce. We therefore examined the impact of FL, IR and obesity on NT-proBNP levels using a large set of cross-sectional data.MethodsThe associations of FL, IR and obesity with NT-proBNP were analyzed in 39,923 healthy adult participants using Kangbuk Samsung Health Study data. IR was estimated using homeostasis model assessment-estimated insulin resistance (HOMA-IR) index. A multivariable regression model that adjusted for factors that influence NT-proBNP was conducted to identify associations between NT-proBNP and FL on abdominal ultrasound. ResultsA total of 11,704 (29.3%) individuals had FL on abdominal ultrasound. FL, IR and obesity showed independent inverse associations with NT-proBNP after multiple adjustments for baseline characteristics. In a multivariable regression model adjusting for IR and obesity, FL was independently associated with lower levels of NT-proBNP (odds ratio 0.864, 0.849 - 0.880). The combination of FL and IR was a powerful dual predictor, lowering NT-proBNP levels approximately 25% in the generally healthy study population.ConclusionIn this large sample of healthy individuals, FL was independently associated with lower NT-proBNP levels. FL and a high HOMA-IR index are a powerful predictor combination for lower NT-proBNP levels. Further research is needed to elucidate the mechanism underlying the association between FL and NT-proBNP.

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Investigation of timing of surgery and other factors possibly influencing outcome in dogs with acute thoracolumbar disc extrusion: a retrospective study of 1501 cases

Acta Veterinaria Scandinavica ◽

10.1186/s13028-021-00596-w ◽

2021 ◽

Vol 63 (1) ◽

Author(s):

Almut Immekeppel ◽

Stefan Rupp ◽

Stanislas Demierre ◽

Kai Rentmeister ◽

Andrea Meyer-Lindenberg ◽

...

Keyword(s):

Retrospective Study ◽

Regression Model ◽

Clinical Signs ◽

Physical Rehabilitation ◽

Timing Of Surgery ◽

Time Span ◽

Bivariate Analysis ◽

Multivariable Regression Model ◽

Thoracolumbar Region ◽

Multivariable Regression

Abstract Background Intervertebral disc extrusions in the thoracolumbar region are a common spinal neurologic disorder in dogs and usually considered a neurological emergency. Several factors, like timing of surgery, have previously been analysed in order to determine the effect on outcome and time of recovery. Most studies have investigated one defined population of dogs and the influence of a single factor on the overall outcome. In this retrospective study, a large cohort of dogs and the influence of one or combinations of several factors on outcome and time of recovery were analysed. Results The bivariate analysis demonstrated a significant association between the following variables and the time of recovery: the time span between the onset of clinical signs and surgery (Cramers Phi $$\varphi^{\prime}$$ φ ′ = 0.14; P = 0.003), the grade of severity ($$\varphi^{\prime}$$ φ ′ = 0.23; P < 0.001) and the implementation of physical rehabilitation ($$\varphi^{\prime}$$ φ ′ = 0.2; P < 0.001). However, the analysis of a multivariable regression model demonstrated that a significant correlation only exists between the time span between the onset of clinical signs and surgery and the overall outcome (P = 0.007), as well as between the grade of severity and the time of recovery (P < 0.001). The percentage of dogs with lacking deep pain perception (DPP) that had to be euthanised due to their neurological condition, decreased from 20.0 to 2.9% when physical rehabilitation was implemented. Additionally, the proportion of dogs (same group) that improved to reach an ambulatory status increased from 80.0 to 91.4%. Conclusion The results of the bivariate analysis demonstrated several correlations between some variables and overall outcome or time of recovery, whereas the multivariable regression model demonstrated only two associations. The time span between the onset of clinical signs and surgery was significantly associated with the overall outcome. We therefore suggest that a surgical intervention should be performed without unreasonable delay. Due to the correlation between the grade of severity and time of recovery, owners of dogs with more severe neurological deficits prior to surgery should be informed about the presumably prolonged time of recovery.

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Characteristics of US Adults Delaying Dental Care Due to the COVID-19 Pandemic

JDR Clinical & Translational Research ◽

10.1177/2380084420962778 ◽

2020 ◽

Vol 6 (1) ◽

pp. 8-14

Author(s):

A.M. Kranz ◽

G. Gahlon ◽

A.W. Dick ◽

B.D. Stein

Keyword(s):

Regression Model ◽

Dental Care ◽

Health Care Services ◽

Chi Square ◽

Cross Sectional ◽

Dental Visits ◽

Care Services ◽

Multivariable Regression Model ◽

Multivariable Regression ◽

Nationally Representative

Background: Coronavirus disease 2019 (COVID-19) has disrupted the delivery of health care services, including dental care. The objective of this study was to quantify and describe US adults who delayed dental care due to the COVID-19 pandemic. Methods: We analyzed cross-sectional responses collected from a nationally representative and long-running panel survey of US adults conducted in late May and early June 2020 (response rate = 70%). The survey included questions about dental care delayed due to the COVID-19 pandemic, purpose of the delayed dental visits, timing of future dental visits, and demographic information. Pearson’s chi-square tests were used to determine if rates of delayed dental care varied by subgroup. A multivariable regression model, adjusted for age, race, Hispanic ethnicity, census division, and rurality, was estimated to predict the odds of reporting delayed dental care. Results: Nearly half of respondents (46.7%) reported delaying going to the dentist or receiving dental care due to the COVID-19 pandemic. Among adults who reported delaying dental care due to the pandemic, 74.7% reported delaying a checkup, 12.4% reported delaying care to address something that was bothering them, and 10.5% reported delaying care to get planned treatment. About 44.4% of adults reported that they planned to visit the dentist within the next 3 mo. In the multivariable regression model, only living in an urban (vs. rural) area was associated with significantly higher odds of delayed dental care due to the pandemic (odds ratio: 1.5; 95% confidence interval: 1.1, 2.1). Conclusions: Nearly half of US adults reported delaying dental care due to the COVID-19 pandemic during the spring of 2020. Our results offer insight into the experiences of patients seeking dental care this spring and the economic challenges faced by dental providers due to the pandemic. Knowledge Transfer Statement: This article describes US adults who delayed dental care due to the COVID-19 pandemic. Results can be used by clinicians and policymakers to understand delayed care during the pandemic.

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Nomogram based on multivariable regression model estimates the overall survival of patients with nivolumab who were previously treated for advanced non-small cell lung cancer.

Journal of Clinical Oncology ◽

10.1200/jco.2019.37.15_suppl.e20683 ◽

2019 ◽

Vol 37 (15_suppl) ◽

pp. e20683-e20683

Author(s):

Motohiro Tamiya ◽

Akihiro Tamiya ◽

Hirofumi Go ◽

Takako Inoue ◽

Madoka Kimura ◽

...

Keyword(s):

Lung Cancer ◽

Overall Survival ◽

Small Cell Lung Cancer ◽

Advanced Nsclc ◽

Predictive Ability ◽

Small Cell ◽

Small Cell Lung ◽

Previously Treated Patients ◽

Previously Treated ◽

Pre Treatment

e20683 Background: Nivolumab (Nivo) has demonstrated with its efficacy against metastatic non-small cell lung cancer (NSCLC). However, it has been also reported that Nivo does not show beneficial effects in approximately 80% of patients. The predictive ability of biomarkers still is yet unclear; thus identifying biomarkers which better predict overall survival (OS) of such patients treated with Nivo is crucial. In this study, we conducted multivariable cox regression analysis including biomarkers and clinical factors measured at the time of initiating treatment with Nivo to assess predictive ability of OS of patients. Results of the multivariable analysis were elucidated with a nomogram which estimates the OS of Nivo in previously treated patients with advanced NSCLC. Methods: In this study, data for 201 patients treated with nivolumab during 17 December 2015 to 31 July 2016 at three respiratory medical centers in Japan were retrospectively reviewed. We collected clinical data at the time of nivolumab treatment commencement, and we evaluated two programmed cell death ligand 1 (PD-L1) immunohistochemistry (IHC) assay systems (22C3 and 28-8). Results: The median age at the time of administration nivolumab was 68 years, 135 patients were male, 157 patients had a smoking history, and 152 patients had a performance status (PS) score of 0–1. 39 patients had EGFR (37) or ALK (2) mutation positive. For 22C3 and 28-8, 36.3% and 36.8% of patients were negative, 17.4% and 14.4% had PD-L1 status of 1-49%, and 11.9% and 14.9% had PD-L1 status of ≥50%, 34.3% and 33.8% had PD-L1 status of missing, respectively. Kendall’s rank correlation coefficient between 22C3 and 28-8 was 0.8414. The median OS of all patients was 333 (95% confidence interval (CI): 116-520) days. In the multivariate analysis, PS score ≥2 (hazard ratio (HR): 2.23; 95%CI: 1.36-3.66 p < 0.001), high LDH level at baseline (HR: 1.13 95%CI: 1.03-1.24; p = 0.008, and progression disease (PD) of pre-treatment response (HR: 3.64 95%CI: 2.29-5.79 p < 0.001) were significantly associated with poor OS. There was not significant distance between PD-L1 status and OS of Nivo. Based on these analyses, we created the nomogram to estimate the OS of Nivo in previously treated patients with advanced NSCLC. Conclusions: PS score ≥2, high LDH levels at baseline, and PD of pre-treatment response were predictive of poor OS of Nivo, moreover the nomogram might be useful to estimate the OS of Nivo in previously treated patients with advanced NSCLC.

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Uncertain multivariable regression model

Soft Computing ◽

10.1007/s00500-018-3324-5 ◽

2018 ◽

Vol 22 (17) ◽

pp. 5861-5866 ◽

Cited By ~ 11

Author(s):

Yuanlong Song ◽

Zongfei Fu

Keyword(s):

Regression Model ◽

Multivariable Regression Model ◽

Multivariable Regression

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ANALYSIS OF FACTORS AFFECTING THE EFFICIENCY OF HOUSEHOLDS LOANS USING FROM ECONOMIC DEVELOPMENT CAPITAL OF THE WOMEN’S UNION OF DUYEN HAI DISTRICT, TRA VINH PROVINCE

Scientific Journal of Tra Vinh University ◽

10.35382/18594816.1.42.2021.688 ◽

2021 ◽

Vol 1 (42) ◽

pp. 20-24

Author(s):

Nguyen Thi Thanh Nguyen

Keyword(s):

Economic Development ◽

Regression Model ◽

Education Level ◽

Current Situation ◽

Social Policies ◽

Factors Affecting ◽

Research Results ◽

Multivariable Regression Model ◽

Multivariable Regression ◽

Loan Amount

Nowadays, women receive a lot of attention and assistance in production and business. They have been support with loans from the Women’s Union, capital from Vietnam Bank for Social Policies to facilitate family economic development. This study aims to assess the current situation of demand and efficiency of loanusing in Duyen Hai District, Tra Vinh Province. In this study, the method of Multivariable Regression model was used to analyze the factors affecting the efficiency of using such loans. Research results shown that there are four factors that have positive correlation with loans using efficiency, including age, education level, landarea, loan amount. On the contrary, three factors including the number of employees, the main source of income, and the purpose of loan are negatively related to the efficiency of using loans. In addition, the study proposes some solutions to help households in using capital more efficiently and enhancing their standard of lives.

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