Cox Regression Analysis
Stratified Cox Regression Analysis of Survival under CIMAvax®EGF Vaccine
... stratified Cox regression analysis to evaluate the effects of some potential prog- nostic factors on the overall survival of patients with non- small cell lung cancer, treated with the CIMAvax ® EGF ...
7
The value of time-averaged serum high-sensitivity C-reactive protein in prediction of mortality and dropout in peritoneal dialysis patients
... one-way analysis of variance (ANOVA), whereas categorical variables were analyzed by chi-square or Fisher’s exact ...Univariate Cox regres- sion analysis was used initially to compare the frequencies ...
13
Original Article Prognostic value of thyroid Hormone T3 in patients with acute cerebral infarction
... statistical analysis of the 28-day survival rates and identification of the Kaplan-Meier survival ...addition, Cox regression analysis was performed to validate the inde- pendent prognostic ...
6
Evidence Based Therapy May Improve Outcome in Glomerulonephritis—A Prospective Field Survey
... forward Cox regression analysis, tubulo-inter- stitial fibrosis had a hazard for the combined end-point of death, dialysis and progression of renal failure of ...
11
Volume 30 - Article 5 | Pages 151–186
... Cox regression analysis of stopping behavior and negative binomial regression of net family size indicated that during the early phase of the Dutch fertility transition (18[r] ...
38
Original Article Downregulation of ring-finger protein 43 in glioma associates with poor prognosis
... Furthermore, Cox regression analysis suggested RNF43 as an independent prognos- tic factor, indicating that RNF43 may be a piv- otal modulator involved in cancer ...survival analysis of ...
7
Protein-coding genes combined with long noncoding RNA as a novel transcriptome molecular staging model to predict the survival of patients with esophageal squamous cell carcinoma
... Univariate cox regression analysis of the GSE63624 dataset revealed that 2404 protein‑coding genes (PCGs) and 635 long non‑coding RNAs (lncRNAs) were associated with the survival of patients with ...
13
Original Article Relation between the expression of aminopeptidase N(APN)/CD13 and the clinical significance in osteosarcomas
... Statistical analysis showed that CD13 expression is related to age (P = ...Multivariate Cox regression analysis, Enneking stages had a statistically significant influence on survival (P < ...
7
Journal Club: Effect of comorbidity on mortality in multiple sclerosis
... MS. Cox regression analysis employed for statistical analysis provides us with a thorough insight into the effect of multiple covariates on the time to death, whereas some other studies ...
5
<p>Construction of a 13-Gene Signature as a Novel Prognostic Marker for Patients with Clear Cell Renal Cell Carcinoma and the Role of XCR1 in Cell Proliferation</p>
... Subgroup analysis also showed a robust prognostic ability of the gene ...Multivariate Cox regression analysis demonstrated that this gene signature was an independent prognostic ...
11
Stevens–Johnson Syndrome and toxic epidermalnecrolysis: a multi-aspect comparative 7-year study from the People’s Republic of China
... Data analysis was performed using the Statistical Pack- age for Social Science (SPSS for Windows, version ...linear regression analysis was used to assess the relation- ship between the maximum ...
9
A new method to analyse the pace of child development: Cox regression validated by a bootstrap resampling procedure
... the Cox regression model, enabling to focus on differences related to the speed by which distinct capabilities are ...multivariate Cox regression model is a critical ...univariate Cox ...
5
Effect of preadmission glucocorticoid therapy on 30-day mortality in critically ill patients: a retrospective study of a mixed ICU population in a tertiary hospital
... univariate Cox regression analysis in Additional file 1: Table S1 were included in multivariate Cox regression analysis: age, sex, body mass index, APACHE II, comorbidity at ICU ...
8
Time-to-Event Prediction with Neural Networks and Cox Regression
... survival analysis that reasons about when a future event will ...survival analysis has predominantly focused on interpretability, potentially at some cost of predictive ...survival analysis is to ...
30
Deriving Penalized Splines For Estimation Of Time Varying Effects In Survival Data
... The polynomial regression in (24) ignores the remainder term Rem (x), it could be mere assumption that Rem (x) is negligible. The idea behind smoothing spline is simply to let data decide how large Rem (x) is ...
7
Low periostin expression predicts poor survival in intestinal type gastric cancer patients
... Seven hundred forty-seven patients in the Second Affiliated Hospital of Wenzhou Medical University (Wenzhou, People’s Republic of China), who underwent surgical resection for GC between December 2006 and July 2011, were ...
12
Time to publication among completed diagnostic accuracy studies: associated with reported accuracy estimates
... multivariable Cox proportional hazards regression analysis to evaluate the unconditional and conditional effect of accuracy estimates on the hazard of publication, adjusting for year of publication, ...
10
Marital status is an independent prognostic factor for tracheal cancer patients: an analysis of the SEER database
... Demographic, clinical, and socioeconomic characteristics were reported as means and standard deviations for continuous variables and percentages for categorical variables. Differences in baseline characteristics were ...
11
Mortality related to hospital-associated infections in a tertiary hospital; repeated cross-sectional studies between 2004-2011
... All types of HAIs were recorded and analysed, includ- ing symptomatic urinary tract infection (UTI), lower re- spiratory tract infection (LRTI), blood stream infection (BSI), and surgical site infection (SSI). HAIs with ...
8
<p>Identification of Novel lncRNA Markers in Glioblastoma Multiforme and Their Clinical Significance: A Study Based on Multiple Sequencing Data</p>
... enrichment analysis based on current newest bioinformatics resources and survival ana- lysis based on both univariate and multivariate Cox regres- sions allowed us to have a better understanding of the ...
12