scholarly journals Modeling and predicting the popularity of online contents with Cox proportional hazard regression model

2012 ◽  
Vol 76 (1) ◽  
pp. 134-145 ◽  
Author(s):  
Jong Gun Lee ◽  
Sue Moon ◽  
Kavé Salamatian
Keyword(s):  
Regression Model ◽  
Proportional Hazard ◽  
Hazard Regression ◽  
Cox Proportional Hazard ◽  
Cox Proportional Hazard Regression

scholarly journals PERBANDINGAN MODEL REGRESI COX PROPORTIONAL HAZARD MENGGUNAKAN METODE BRESLOW DAN EFRON (Studi Kasus: Penderita Stroke di RSUD Tugurejo Kota Semarang)

2019 ◽  
Vol 8 (1) ◽  
pp. 93-105
Author(s):  
Eri Setiani ◽  
Sudarno Sudarno ◽  
Rukun Santoso
Keyword(s):  
Blood Pressure ◽  
Systolic Blood Pressure ◽  
Regression Model ◽  
Diastolic Blood Pressure ◽  
Proportional Hazard ◽  
Hazard Regression ◽  
Cox Proportional Hazard ◽  
History Of ◽  
Cox Proportional Hazard Regression ◽  
Sugar Levels

Cox proportional hazard regression is a regression model that is often used in survival analysis. Survival analysis is phrase used to describe analysis of data in the form of times from a well-defined time origin until occurrence of some particular even or end-point. In analysis survival sometimes ties are found, namely there are two or more individual that have together event. This study aims to apply Cox model on ties event using two methods, Breslow and Efron and determine factors that affect survival of stroke patients in Tugurejo Hospital Semarang. Dependent variable in this study is length of stay, then independent variables are gender, age, type of stroke, history of hypertension, systolic blood pressure, diastolic blood pressure, blood sugar levels, and BMI. The two methods give different result, Breslow has four significant variables there are type of stroke, history of hypertension, systolic blood pressure, and diastolic blood pressure, while Efron contains five significant variables such as type of stroke, history of hypertension, systolic blood pressure, diastolic blood pressure and blood sugar levels. From the smallest AIC criteria obtained the best Cox proportional hazard regression model is Efron method. Keywords: Stroke, Cox Proportional Hazard Regression model, Breslow method, Efron method.

scholarly journals FAKTOR-FAKTOR YANG MEMPENGARUHI DAYA TAHAN MAHASISWA TEKNIK SIPIL UIB DALAM MEMPERTAHANKAN STUDINYA

2021 ◽  
Vol 10 (1) ◽  
pp. 1
Author(s):  
MAHFUZ HUDORI
Keyword(s):  
Linear Regression ◽  
Regression Model ◽  
Linear Regression Model ◽  
Engineering Students ◽  
Civil Engineering ◽  
Drop Out ◽  
Proportional Hazard ◽  
Hazard Regression ◽  
Cox Proportional Hazard ◽  
Cox Proportional Hazard Regression

Linear regression model cannot be used to analyze the relationship between survival time and independent variables, it is because the linear regression model is not able to handle censored data. Regression can be used to analyze survival data is cox proportional hazard regression. This research studies factors that influence study time drop out of Civil Engineering students at Universitas International Batam using the cox proportional hazard regression model approach. The independent variable that influenced study time drop out of Civil Engineering students at Universitas International Batam was the Cumulative Achievement Index and Work Status.

scholarly journals AB0292 EFFICACY AND SAFETY OF TWO BIOSIMILAR ETANERCEPT AFTER THE SWITCH FROM THEIR CORRESPONDING ORIGINATOR IN THE TREATMENT OF PATIENTS WITH AUTOIMMUNE ARTHRITIS; A RETROSPECTIVE ANALYSIS IN A REAL LIFE SETTING

2020 ◽  
Vol 79 (Suppl 1) ◽  
pp. 1445.1-1445
Author(s):  
F. Girelli ◽  
A. Ariani ◽  
M. Bruschi ◽  
A. Becciolini ◽  
L. Gardelli ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Disease Duration ◽  
Retention Rate ◽  
Real Life ◽  
Autoimmune Arthritis ◽  
Proportional Hazard ◽  
Hazard Regression ◽  
Cox Proportional Hazard ◽  
Real Life Setting ◽  
Cox Proportional Hazard Regression

Background:The available biosimilars of etanercept are as effective and well tolerated as their bio originator molecule in the naive treatment of chronic autoimmune arthritis. More data about the switching from the bio originator are needed.Objectives:To compare the clinical outcomes of the treatment with etanercept biosimilars (SB4 and GP2015) naïve and after the switch from their corresponding originator in patients affected by autoimmune arthritis in a real life settingMethods:We retrospectively analyzed the baseline characteristics and the retention rate in a cohort of patients who received at least a course of etanercept (originator or biosimilar) in our Rheumatology Units from January 2000 to January 2020. We stratified the study population according to biosimilar use. Descriptive data are presented by medians (interquartile range [IQR]) for continuous data or as numbers (percentages) for categorical data. Drug survival distribution curves were computed by the Kaplan-Meier method and compared by a stratified log-rank test. A Cox proportional hazards regression analysis stratified by indication, drug, age, disease duration, sex, treatment line, biosimilar use and prescription year was performed. P values≤0.05 were considered statistically significant.Results:477 patients (65% female, median age 56 [46-75] years, median disease duration 97 [40.25-178.75] months) treated with etanercept were included in the analysis. 257 (53.9%) were affect by rheumatoid arthritis, 139 (29.1%) by psoriatic arthritis, and 81 (17%) by axial spondylarthritis. 298 (62.5%) were treated with etanercept originator, 97 (20.3%) with SB4, and 82 (17.2%) with GP2015. Among the biosimilars 90/179 (50.3%) patients were naïve to etanercept treatment. Among the 89 switchers we observed 8 treatment discontinuations: one due to surgical infection complication, three due to disease flare, two due to subjective worsening and one due to remission. The overall 6- and 12-month retentions rate were 92.8% and 80.2%. The 6- and 12-month retention rate for etanercept, SB4 and GP2015 were 92.7%, 93.4% and 90.2%, and 82%, 74.5% and 88.1% respectively, without significant differences among the three groups (p=0.374). Patients switching from originator to biosimilars showed and overall higher treatment survival when compared to naive (12-month retention rate 81.2% vs 70.8%, p=0.036). The Cox proportional hazard regression analysis highlighted that the only predictor significantly associated with an overall higher risk of treatment discontinuation was the year of prescription (HR 1.08, 95% CI 1.04 to 1.13; p<0.0001).Conclusion:In our retrospective study etanercept originator and its biosimilars (SB4 and GP2015) showed the same effectiveness. Patients switching from originator to biosimilar showed an significant higher retention rate when compared to naive. The only predictor of treatment discontinuation highlighted by the Cox proportional hazard regression analysis was the year of treatment prescription.Disclosure of Interests:Francesco Girelli: None declared, Alarico Ariani: None declared, Marco Bruschi: None declared, Andrea Becciolini Speakers bureau: Sanofi-Genzyme, UCB and AbbVie, Lucia Gardelli: None declared, Maurizio Nizzoli: None declared

Association between Preoperative Monocyte-to-Lymphocyte Ratio and Late Arteriovenous Fistula Dysfunction in Hemodialysis Patients: A Cohort Study

2021 ◽  
pp. 1-7
Author(s):  
Shouliang Hu ◽  
Dan Wang ◽  
Tean Ma ◽  
Fanli Yuan ◽  
Yong Zhang ◽  
...  
Keyword(s):  
Cohort Study ◽  
Arteriovenous Fistula ◽  
Vessel Diameter ◽  
Transluminal Angioplasty ◽  
Proportional Hazard ◽  
Clinical Value ◽  
Hazard Regression ◽  
Lymphocyte Ratio ◽  
Cox Proportional Hazard ◽  
Cox Proportional Hazard Regression

<b><i>Background:</i></b> Inflammation appears to be at the biological core of arteriovenous fistula (AVF) dysfunction, and the occurrence of AVF dysfunction is related to high death and disability in hemodialysis (HD) patients. Despite several studies on the correlations between AVF dysfunction and inflammatory indicators, how AVF dysfunction is related to the monocyte-to-lymphocyte ratio (MLR) is much unclear. We hypothesize that preoperative MLR is associated with AVF dysfunction in Chinese HD patients. <b><i>Methods:</i></b> In this single-center retrospective cohort study, totally 769 adult HD patients with a new AVF created between 2011 and 2019 were included. Association of preoperative MLR with AVF dysfunction (thrombosis or decrease of normal vessel diameter by &#x3e;50%, requiring either surgical revision or percutaneous transluminal angioplasty) was assessed by multivariable Cox proportional hazard regression. <b><i>Results:</i></b> The patients were aged 55.8 ± 12.2 years and were mostly males (55%). During the average 32-month follow-up (maximum 119 months), 223 (29.0%) patients had permanent vascular access dysfunction. In adjusted multivariable Cox proportional hazard regression analyses, the risk of AVF dysfunction was 4.32 times higher with 1 unit increase in MLR (hazard ratio [HR]: 5.32; 95% confidence interval [CI]: 3.1–9.11). Compared with patients with MLR &#x3c;0.28, HRs associated with an MLR of 0.28–0.41 and ≥0.41 are 1.54 (95% CI: 1.02–2.32) and 3.17 (2.18–4.62), respectively. <b><i>Conclusions:</i></b> A higher preoperative MLR is independently connected with a severer risk of AVF dysfunction in HD patients. Its clinical value should be determined in the future.

scholarly journals Factors that influence the recovery of TB patients using Cox proportional hazard regression

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
ZURNILA MARLI KESUMA ◽  
HIZIR SOFYAN ◽  
LATIFAH RAHAYU ◽  
WARDATUL JANNAH
Keyword(s):  
Control Program ◽  
Proportional Hazard ◽  
Cure Rate ◽  
Hazard Regression ◽  
Cox Proportional Hazard ◽  
National Tuberculosis Control Program ◽  
Record Data ◽  
National Tuberculosis ◽  
The Government ◽  
Cox Proportional Hazard Regression

Tuberculosis (TB) is an infectious disease which is one of the biggest health problems in the world, including Indonesia. The government, through the National Tuberculosis Control program, has made various efforts to control tuberculosis. However, this problem was exacerbated by the dramatic increase in the incidence of tuberculosis. This study aimed to determine the Cox proportional hazard regression model and the factors that affect the cure rate of TB patients. We used medical record data for inpatient TB patients for the period July-December 2017 at dr. Zainoel Abidin Hospital. The results showed that with α = 0.1, the factors that influenced the recovery of TB patients were the type of cough, the symptoms of bloody cough and symptoms of sweating at night.  There were 33.93% of patients who did not work. This category included students, domestic helpers, and those who did not work until they suffered from tuberculosis and were treated at dr. Zainoel Abidin Hospital. The hazard ratio (failure ratio) showed that the tendency or cure rate for TB patients who did not experience cough symptoms was 70% greater than patients who experienced phlegm cough symptoms. The cure rate for TB patients who experienced coughing up blood symptoms was 53% greater than patients without these symptoms. The cure rate for TB patients who experienced  symptoms of sweating at night was 54% greater than patients who did not sweat at night.

Sign in / Sign up

Export Citation Format

Share Document