scholarly journals PENERAPAN REGRESI COX PROPORTIONAL HAZARD UNTUK MENDUGA FAKTOR-FAKTOR YANG MEMENGARUHI LAMA MENCARI KERJA

2013 ◽  
Vol 2 (3) ◽  
pp. 7
Author(s):  
I GEDE ARI SUDANA ◽  
NI LUH PUTU SUCIPTAWATI ◽  
LUH PUTU IDA HARINI
Keyword(s):  
Survival Analysis ◽  
Censored Data ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Proportional Hazard ◽  
Hazard Regression ◽  
Cox Proportional Hazards Regression ◽  
Cox Proportional Hazard ◽  
Proportional Hazards Regression ◽  
Cox Proportional Hazard Regression

Survival analysis is a statistical method that accommodates the collection of censored data. One of popular method in survival analysis is the Cox Proportional Hazard Regression. The Cox Proportional Hazard Regression can be used to see old looking for work where data may contain censored data. This article aims investigate the characteristics of job seekers and the variables that affect old looking for work. To establish the best model using Stepwise Selection method. Prior to that the assumption of Cox Proportional Hazards Regression is tested using log minus log curve. The results obtained from Cox Proportional Hazards Regression model is as follows  

scholarly journals ANALISIS KETAHANAN HIDUP PENDERITA DENGUE HEMORRHAGIC FEVER (DEMAM BERDARAH) DENGAN REGRESI COX KEGAGALAN PROPORSIONAL (Studi Kasus : Rumah Sakit Islam Nahdlatul Ulama Demak)

2021 ◽  
Vol 10 (3) ◽  
pp. 367-376
Author(s):  
Putri Qodar Ummayah ◽  
Sudarno Sudarno ◽  
Budi Warsito
Keyword(s):  
Survival Analysis ◽  
Dengue Fever ◽  
Dengue Hemorrhagic Fever ◽  
Recovery Time ◽  
Hemorrhagic Fever ◽  
Proportional Hazard ◽  
Hazard Regression ◽  
Cox Proportional Hazard ◽  
Cox Proportional Hazard Regression ◽  
The Relationship

Dengue hemorrhagic fever is an acute febrile disease caused by the dengue virus, which enters the human bloodstream through the bite of a mosquito of the genus Aedes Aegypti or Aedes Albopictus. Based on World Health Organization (WHO) records, it is estimated that 500,000 dengue hemorrhagic fever patients require hospital treatment every year and most of the sufferers are children. To analyze the relationship between recovery time in dengue fever patients and the factors that influence it using regression analysis, the dependent variable is the failure time and the function of the response variable tends to fail constant so to find out the relationship using Cox proportional hazard regression. Cox proportional hazard regression is a regression model that is often used in survival analysis. Survival analysis is a method used to describe data analysis in terms of time from the time of origin defined until a certain event occurs. In this study, the recovery time of dengue fever patients as a function of failure is proportional. The observations used by the researchers for each patient were not the same. The population of this study were all patients with dengue fever. The data used was obtained from the medical record section for data on the length of hospitalization of patients regarding the recovery of patients with dengue fever. The conclusion of the research shows that the factors that affect the recovery time of dengue fever patients are hematocrit, platelets, immunoglobulin G, and immunoglobulin M. 

scholarly journals A novel long non-coding RNA, AC012456.4, as a valuable and independent prognostic biomarker of survival in oral squamous cell carcinoma

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e5307 ◽  
Author(s):  
Xuegang Hu ◽  
Zailing Qiu ◽  
Jianchai Zeng ◽  
Tingting Xiao ◽  
Zhihong Ke ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Survival Analysis ◽  
Oral Squamous Cell Carcinoma ◽  
Proportional Hazards ◽  
Prognostic Biomarker ◽  
Cox Proportional Hazards ◽  
Regression Analyses ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression ◽  
Kaplan Meier

Oral squamous cell carcinoma (OSCC) is a major malignant cancer of the head and neck. Long non-coding RNAs (lncRNAs) have emerged as critical regulators during the development and progression of cancers. This study aimed to identify a lncRNA-related signature with prognostic value for evaluating survival outcomes and to explore the underlying molecular mechanisms of OSCC. Associations between overall survival (OS), disease-free survival (DFS) and candidate lncRNAs were evaluated by Kaplan–Meier survival analysis and univariate and multivariate Cox proportional hazards regression analyses. The robustness of the prognostic significance was shown via the Gene Expression Omnibus (GEO) database. A total of 2,493 lncRNAs were differentially expressed between OSCC and control samples (fold change >2, p < 0.05). We used Kaplan–Meier survival analysis to identify 21 lncRNAs for which the expression levels were associated with OS and DFS of OSCC patients (p < 0.05) and found that down-expression of lncRNA AC012456.4 especially contributed to poor DFS (p = 0.00828) and OS (p = 0.00987). Furthermore, decreased expression of AC012456.4 was identified as an independent prognostic risk factor through multivariate Cox proportional hazards regression analyses (DFS: p = 0.004, hazard ratio (HR) = 0.600, 95% confidence interval(CI) [0.423–0.851]; OS: p = 0.002, HR = 0.672, 95% CI [0.523–0.863). Gene Set Enrichment Analysis (GSEA) indicated that lncRNA AC012456.4 were significantly enriched in critical biological functions and pathways and was correlated with tumorigenesis, such as regulation of cell activation, and the JAK-STAT and MAPK signal pathway. Overall, these findings were the first to evidence that AC012456.4 may be an important novel molecular target with great clinical value as a diagnostic, therapeutic and prognostic biomarker for OSCC patients.

scholarly journals Learning curve for minimally invasive oesophagectomy of oesophageal cancer and survival analysis

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Yunpeng Zhao ◽  
Lei Shan ◽  
Chuanliang Peng ◽  
Bo Cong ◽  
Xiaogang Zhao
Keyword(s):  
Regression Analysis ◽  
Survival Analysis ◽  
Minimally Invasive ◽  
Learning Curve ◽  
Proportional Hazards ◽  
Cox Proportional Hazards ◽  
Short Term ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression ◽  
Minimally Invasive Oesophagectomy

Abstract Purpose Minimally invasive oesophagectomy is a technically demanding procedure, and the learning curve for this procedure should be explored. A survival analysis should also be performed. Methods A total of 214 consecutive patients who underwent minimally invasive oesophagectomy were retrospectively reviewed. To evaluate the development of thoracoscopic-laparoscopic oesophagectomy and compare mature minimally invasive oesophagectomy and open oesophagectomy, we comprehensively studied the clinical and surgical parameters. The cumulative sum (CUSUM) plot was used to evaluate the learning curve for systemic lymphadenectomy. Cox proportional hazards regression analysis was performed to explore the clinical factors affecting survival. Results The bleeding volume, operation time, and postoperative mortality within 3 months significantly decreased after 20 patients. The rise point for node dissection was visually determined to occur at patient 57 in the CUSUM plots. Patients who underwent mature thoracoscopic-laparoscopic oesophagectomy had better surgical data and short-term benefits than patients who underwent an open procedure. Cox proportional hazards regression analysis showed that the maximum diameter of the tumour cross-sectional area and the number of positive nodes significantly influenced survival. Conclusions The results suggest that thoracoscopic-laparoscopic oesophagectomy has short-term benefits. There was no evidence that it was associated with a significantly better prognosis for patients with oesophageal cancer. ClinicalTrials Gov ID: NCT04217239; January 2, 2020 retrospectively registered.

scholarly journals Clinical Implication of Systemic Immune-Inflammation Index and Prognostic Nutritional Index in Skull Base Chordoma Patients

2021 ◽  
Vol 11 ◽  
Author(s):  
Mingxuan Li ◽  
Jiwei Bai ◽  
Shuai Wang ◽  
Yixuan Zhai ◽  
Shuheng Zhang ◽  
...  
Keyword(s):  
Survival Analysis ◽  
Skull Base ◽  
Proportional Hazards ◽  
Prognostic Nutritional Index ◽  
Cox Proportional Hazards ◽  
Cox Proportional Hazards Regression ◽  
Proportional Hazards Regression ◽  
Nutritional Index ◽  
Kaplan Meier ◽  
Skull Base Chordoma

Inflammation associated markers and nutritional indexes are associated with survival, and act as novel prognostic grading systems in patients with cancer, though the role of these markers in chordoma remains unclear. The current study aimed to characterize systemic immune-inflammation index (SII) and prognostic nutritional index (PNI), and their relationship with clinicopathological data and survival in skull base chordoma. Our retrospective study enrolled 183 patients with primary skull base chordoma who received surgical treatment. Clinicopathological data and preoperative blood tests including neutrophil, lymphocyte, platelet counts and albumin level were collected from medical records. Neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), SII, PNI were calculated and the optimal cut-off values of these markers were used for further survival analysis via Kaplan–Meier survival analysis and Cox proportional hazards regression analysis. The value of NLR, PLR, SII, and PNI in skull base chordoma ranged from 0.44–6.48, 45.36–273.94, 113.37–1761.45, and 43.40–70.65, respectively. PNI was significantly correlated with patients' sex (p = 0.005) and age (p = 0.037). SII was positively correlated with NLR and PLR, but negatively correlated with PNI. The median overall survival (OS) time was 74.0 months and Kaplan–Meier survival analysis indicated that all four indexes were associated with OS. Multivariable Cox proportional hazards regression analysis identified that high SII was an independent prognostic factor for poor OS. More importantly, patients with high SII and PNI had the worst outcomes and combined use of SII and PNI increased the predictive ability for patients' survival in skull base chordoma. Our results suggest SII and PNI may be effective prognostic indicators of OS for patients with primary skull base chordoma after surgical resection.

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