Parametric Bivariate Regression Analysis Based on Censored Samples: A Weibull Model

2004 ◽  
Vol 19 (1) ◽  
Author(s):  
David D. Hanagal
Keyword(s):  
Regression Analysis ◽  
Weibull Model ◽  
Censored Samples ◽  
Bivariate Regression ◽  
Bivariate Regression Analysis

Family Matters: The Support of Parents to Change Black Male’s Attitudes Towards HIV

2020 ◽  
pp. 0192513X2095704
Author(s):  
Donte T. Boyd ◽  
Camille R. Quinn ◽  
Bernadine Waller ◽  
Gabbrielle Aquino
Keyword(s):  
Regression Analysis ◽  
African American Males ◽  
Self Efficacy ◽  
Linear Regression Analysis ◽  
Intervention Programs ◽  
Adult Health ◽  
Negative Attitudes ◽  
National Longitudinal Study ◽  
Bivariate Regression ◽  
Bivariate Regression Analysis

This study explored the associations between family (mother and father support), peers, and individual factors (self-efficacy) and how these relationships influence HIV attitudes among African American males 12 to 19 years of age, with an average age of 16 years. For this study, we used restricted data obtained from Wave I of the National Longitudinal Study of Adolescent to Adult Health (ADD Health). Descriptive statistics suggest that most of the sample had negative attitudes towards HIV. Bivariate regression analysis followed by a linear regression analysis was conducted to identify the factors that were associated with HIV attitudes. Major findings from regression analysis indicate that mother support, father support, self-efficacy, and age, predicted HIV attitudes. Mother support positively predicted positive HIV attitudes and surprisingly, father support negatively predicted HIV attitudes. Our findings can be used to better inform HIV prevention and intervention programs to help Black males stay healthy.

CUSTOMERS’ EMOTIONAL RESPONSES TO EMPLOYEES’ DISPLAYED POSITIVE EMOTIONS

2012 ◽  
Vol 02 (06) ◽  
pp. 40-46
Author(s):  
Mukucha Paul
Keyword(s):  
Regression Analysis ◽  
Positive Emotions ◽  
Emotional Responses ◽  
Observational Methods ◽  
Emotional States ◽  
Emotional Displays ◽  
Bivariate Regression ◽  
Analyse Data ◽  
Bivariate Regression Analysis

The study sought to determine the customers’ emotional responses to employee displayed emotions at lunar parks in Zimbabwe. Hundred adult consumers were surveyed soon after an observation of the employee-consumer interaction. Employee emotional displays were measured using observational methods and customers’ emotional states were assessed using the PAD scale. Bivariate regression analysis was used to analyse data. The study revealed that employee displayed emotions positively influences customers’ emotional states of pleasure, arousal, and dominance. Unlike the findings from previous studies the dominance dimension was found to relevant to the lunar park services.

scholarly journals Indikator Lingkungan Intern Pada Kinerja Keuangan Dengan Intellectual Capital Dan Size Sebagai Variabel Moderasi Dan Mediasi

2017 ◽  
Vol 5 (1) ◽  
Author(s):  
FETY ROCHYAWATI
Keyword(s):  
Regression Analysis ◽  
Financial Performance ◽  
Firm Size ◽  
Intellectual Capital ◽  
Random Sampling ◽  
Manufacturing Industry ◽  
Bivariate Regression ◽  
Bivariate Regression Analysis ◽  
The Relationship

The purpose of this study was to determine whether there the effect of trust, participation, strategic relevance towards financial performance, to determine whether firm size able to mediate the relationship between trust, participation, strategic relevance with financial performance and to determine whether intellectual capital able to moderate the relationship between trust, participation, strategic relevance with financial performance.The research sample consisted of 60 respondents manufacturing industry. The methodof data collectionis done using purposive random sampling. The methodof hypothesis testingused is bivariate regression analysis, mediation regression dan regression moderation.The result of this study showed that there the effect between trust and participation towards financial performance, while strategic relevance can not affect financial performance. Firm size not able to mediate the relationship between trust and strategic relevance with financial performance, while the relationship between participation with financial performance able mediated firm size. The relationship between trust, participation, strategic relevance with financial performance not able strengthened with intellectual capital.

scholarly journals Clinical characteristics of 199 discharged patients with COVID-19 in Fujian Province: A multicenter retrospective study between January 22nd and February 27th, 2020

PLoS ONE ◽  
2020 ◽  
Vol 15 (11) ◽  
pp. e0242307
Author(s):  
Sijiao Wang ◽  
Zhisheng Chen ◽  
Yijian Lin ◽  
Li Lin ◽  
Qunying Lin ◽  
...  
Keyword(s):  
Old Age ◽  
Clinical Characteristics ◽  
Laboratory Data ◽  
Oxygenation Index ◽  
Fujian Province ◽  
Median Hospital Stay ◽  
Illness Onset ◽  
Discharged Patients ◽  
Bivariate Regression ◽  
Bivariate Regression Analysis

Background Coronavirus disease 2019 (COVID-19) has quickly spread throughout the country and the world since first broke out in Wuhan, China. The outbreak that started from January 22, 2020, in Fujian Province has been controlled as the number of indigenous cases has not increased since March. We aimed to describe the clinical characteristics of patients with COVID-19 in Fujian Province, China. Methods In this retrospective, multicenter study, we collected and analyzed the epidemiological, clinical, and laboratory data of all cases confirmed by nucleic acid tests in five designated hospitals in Fujian Province between January 22 and February 27, 2020. All patients were followed up until discharge. COVID-19 severity was classified as mild, moderate, severe, or critical. Results Of 199 discharged patients with COVID-19, 105 patients were male, with a median age of 46.3 years, and 17 patients were severe, and 5 patients were critical on admission. Hypertension and diabetes were the most common comorbidities. The symptoms at illness onset were mainly fever (76.4%), cough (60.8%), and myalgia or fatigue (27.6%). A total of 96.5% of patients had abnormal imaging findings on chest computed tomography. Lymphopenia (37.2%) and hypoxemia (13.6%) were observed. Acute respiratory distress syndrome and respiratory failure occurred in 9 patients (4.5%) and 8 patients (4.0%) respectively. One patient died and the others were cured and discharged with the median hospital stay of 19 days. Old age was negatively correlated with lymphocyte count (r = - 0.296, p < 0.001) and oxygenation index (r = - 0.263, p = 0.001). Bivariate regression analysis revealed that old age (≥ 75 years), hypertension, diabetes, and lymphopenia were correlated with the severity of COVID-19. Conclusions Patients in Fujian Province were mostly nonsevere cases with mild or moderate symptoms, and had a lower mortality than patients in Wuhan (4.3%-15%). Older age, hypertension, diabetes, and lymphopenia were risk factors for severity of COVID-19.

scholarly journals Varicocele treatment: A 2-centers comparison between non microsurgical open correction, laparoscopic approach and retrograde percutaneous sclerotization on 463 cases

2013 ◽  
Vol 85 (3) ◽  
pp. 143 ◽  
Author(s):  
Giangiacomo Ollandini ◽  
Giovanni Liguori ◽  
Stanislav Ziaran ◽  
Tomáš Málek ◽  
Giorgio Mazzon ◽  
...  
Keyword(s):  
Sperm Count ◽  
Laparoscopic Approach ◽  
Sperm Parameters ◽  
Age Related ◽  
Number Of Patients ◽  
Significant Difference ◽  
Bivariate Regression ◽  
Open Surgical Procedure ◽  
Bivariate Regression Analysis

Objectives: To determine whether there are differences in sperm parameters improvement after different varicocele correction techniques. To determine the role of age in sperm parameters improvement. Methods: 2 different European centers collected pre- and postoperative sperm parameters of patients undergoing varicocele correction. Among 463 evaluated patients, 367 were included. Patients were divided in procedure-related and age-related groups. Ivanissevich inguinal open surgical procedure (OS), lymphatic-sparing laparoscopic approach (LSL) and retrograde percutaneous transfemoral sclerotization (RPS) were performed. As outcome measurements sperm count (millions/mL, SC) and percentage of mobile sperms were analyzed. Univariate and multivariate regression between the defined groups; bivariate regression analysis between age and sperm count and motility. Results: Number of patients: OS 78; LSL 85; RPS 204. Mean age 30.2 (SD 6.83); postoperative SC increased from 18.2 to 30.1 (CI 95% 27.3-32.9; p &lt; 0,001); motility from 25.6 to 32.56% (30.9-34.2; p &lt; 0.001). OS: SC varied from 16.9 to 18.2 (p &lt; 0.001); sperm motility from 29% to 33% (p &lt; 0.001). LSL: SC from 15.5 to 17.2 (p &lt; 0.001); motility from 27 to 31% (p &lt; 0.001). RPS: SC from 18.9 to 36.2 (p &lt; 0.001); motility from 24% to 32% (p &lt; 0.001). Univariate and multivariate analysis confirmed the significant difference of SC variation in RPS, compared to the other groups (p &lt; 0.001). No significance between LSL and OS (p = 0.826). No significant differences regarding motility (p = 0.8). Conclusions: Varicocele correction is confirmed useful in improving sperm parameters; sclerotization technique leads to a better sperm improvement compared to other studied procedures; improvement in seminal parameters is not affected by age of the patients treated.

scholarly journals The ABC of linear regression analysis: What every author and editor should know

2021 ◽  
Vol 47 ◽  
Author(s):  
Ksenija Bazdaric ◽  
Dina Sverko ◽  
Ivan Salaric ◽  
Anna Martinovic ◽  
Marko Lucijanic
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Linear Regression Analysis ◽  
Statistical Technique ◽  
Multiple Linear Regressions ◽  
Simple Linear Regression ◽  
Proportional Change ◽  
Bivariate Regression ◽  
Causal Language ◽  
Linear Regressions

Regression analysis is a widely used statistical technique to build a model from a set of data on two or more variables. Linear regression is based on linear correlation, and assumes that change in one variable is accompanied by a proportional change in another variable. Simple linear regression, or bivariate regression, is used for predicting the value of one variable from another variable (predictor); however, multiple linear regression, which enables us to analyse more than one predictor or variable, is more commonly used. This paper explains both simple and multiple linear regressions illustrated with an example of analysis and also discusses some common errors in presenting the results of regression, including inappropriate titles, causal language, inappropriate conclusions, and misinterpretation.

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