• CSS and OS were analyzed using Kaplan-Meier curves. (duke.edu)
  • Risk factors for RP recurrence were analysed using a Cox proportional hazards model, and Kaplan-Meier survival curves were drawn. (springer.com)
  • Kaplan-Meier curves were developed to characterise IA persistence. (bmj.com)
  • Kaplan-Meier survival curves and Cox Proportional Hazard Regression Models were computed. (unl.edu)
  • Association between VPH and FI and with 10-year mortality was evaluated using Kaplan Meier curves and Cox proportional hazard models. (lu.se)
  • 94.1%) were calculated from Kaplan-Meier survival curves. (who.int)
  • The T test, Chi square test, Kaplan-Meier survival analysis model, and Multivariate Cox proportional hazards regression model were applied to assess the prognostic significance of SLA, LDH, and serum ALB on the patients with mCRC. (hindawi.com)
  • Cox analysis revealed that TB-related mortality hazard ratios included treatment default (8.9), multidrug resistance (5.7), recently transmitted TB (4.1), weight loss (3.9), and hav- ing less than 6 years of formal education (2). (cdc.gov)
  • 001). The adjusted risks of permanent colostomy (odds ratio [OR] = 1.37, 95% confidence interval [CI] = 1.10 to 1.70), 30-day mortality (OR = 2.64, 95% CI = 1.41 to 4.93), and 2-year mortality (hazard ratio = 1.28, 95% CI = 1.15 to 1.44) were greater for patients at hospitals in the lowest volume quartile than for patients at hospitals in the highest volume quartile. (nih.gov)
  • The unadjusted Kaplan-Meier estimator and adjusted proportional hazards regression models tested the hypothesis that excess mortality is associated with epilepsy. (cdc.gov)
  • Understand models for human mortality, including how to compute and interpret the life table in a variety of contexts and models for forecasting morality. (southampton.ac.uk)
  • Comparison of models of mortality: Binomial, Poisson and multiple-state models. (southampton.ac.uk)
  • Kaplan-Meier and Cox proportional hazards models were used to analyze postdischarge mortality. (cdc.gov)
  • Cox proportional hazards models were used to compare all-cause mortality from all cancers and from specific cancers. (diabetesjournals.org)
  • The current European guidelines propose a three-stratum model to categorise risk as low, intermediate or high, based on the expected 1-year mortality. (uni-koeln.de)
  • The IMPACT study demonstrated that treatment with sipuleucel-T was associated with approximately 20% improved overall survival (hazard ratio 0.78, 95% confidence interval 0.61 to 0.98) 4 . (urotoday.com)
  • Patients with major depression in usual care were more likely to die than were those without depression (hazard ratio 1.90, 95% confidence interval 1.57 to 2.31). (bmj.com)
  • In contrast, patients with major depression in intervention practices were at no greater risk than were people without depression (hazard ratio 1.09, 0.83 to 1.44). (bmj.com)
  • Kaplan-Meier analysis revealed significant difference in the temporal distribution in safety events ( P = 0.023) but not in stroke recurrence ( P = 0.726). (medsci.org)
  • For survival outcomes potential associations were assessed in univariate and multivariate analyses using the Cox proportional hazards model. (cun.es)
  • Unadjusted and propensity-score-adjusted Cox proportional-hazards modeling were used for subgroup analyses. (duke.edu)
  • Survival was assessed using Kaplan-Meier analyses, log-rank testing and Cox proportional hazards models. (uni-koeln.de)
  • Cox proportional hazards modeling, adjusting for confounders and risk factors, resulted in a hazard ratio (omalizumab vs nonomalizumab) of 1.09 (95% CI, 0.87-1.38) for all malignancies and 1.15 (95% CI, 0.83-1.59) for all malignancies excluding NMSC. (rti.org)
  • Additional y, most specimens were col ected shared frailty model, which is an extension of the Cox from cases in Cebu province, including from the independ- proportional hazards model that accounts for clustering, ent cities of Cebu City, Lapu-Lapu City and Mandaue City and the proportional hazards assumption was checked (191 [60.3%] of specimens overall and 48/68 [70.6%] using Schoenfeld residuals. (who.int)
  • The were col ected during the first 2 weeks of February hazard ratios (HRs) for recovery were estimated using a ( Table 1 ). (who.int)
  • Cox proportional hazard models were used to assess the demographic characteristics. (bmj.com)
  • In particular, he combines field methods like capture-mark-recapture and radio telemetry with flexible Bayesian hierarchical models to learn about demographic parameters and the individual, biotic, and environmental variables that affect them. (usgs.gov)
  • For the cohort study, logistic or linear regression modelling will be applied assessing work- and health-related outcomes (primary outcome: working hours) of cancer survivors' partners, and what factors predict these outcomes. (biomedcentral.com)
  • Modelling survival data in medical research. (southampton.ac.uk)
  • Knowing the distribution model of the data helps you to continue with the right analysis. (originlab.com)
  • Therefore, we aimed to investigate the role of prognostic factors on breast cancer survival using Additive Empirical Bayesian model with large data set. (who.int)
  • Histopathological-based models may be used to stratify patients into low- and high-risk classes 9 and further identify patients at risk of aggressive early-stage OSCC, thus contributing to disease predictability in terms of clinical progression and treatment outcomes. (nature.com)
  • Kaplan-Meier plots of time to first confirmed study-emergent primary malignancy were similar for the 2 treatment cohorts. (rti.org)
  • The median age of all cases models were adjusted for morbidity, week of specimen was 33 years (interquartile range [IQR]: 21-46), and 142 col ection of first positive test, age, sex and province. (who.int)
  • Overall survival was examined with the Kaplan-Meier method and a multivariable Cox proportional hazards model. (nih.gov)
  • Survival analysis was performed using the Kaplan-Meier method. (bmj.com)
  • Cox proportional hazards regression analysis was used to identify predictors of loss from treatment. (researchgate.net)
  • At the end of follow-up, the hazard of unfavorable treatment outcome (dead, lost, stopped HAART) for clients who restarted treatment at months 6, 12, 18 and 24 was higher by a factor of 1.9, 2.4, 2.6 and 2.4, as compared to those who never discontinued treatment at those times. (researchgate.net)
  • However, with this model, most patients are categorised as intermediate risk. (uni-koeln.de)
  • Using the three-stratum model, most patients were classified as intermediate risk (76.0% at baseline and 63.9% at first follow-up). (uni-koeln.de)
  • Changes in risk from baseline to follow-up were observed in 31.1% of the patients with the three-stratum model and in 49.2% with the four-stratum model. (uni-koeln.de)
  • From November 2018-June 2019, we prospectively enrolled eligible patients (≥15 years) not on antiretroviral therapy (ART) presenting with WHO-defined AHD into a differentiated model of care for AHD (including rapid ART initiation) and followed them for six months. (cdc.gov)
  • 2] or Kaplan-Meier [3] methods. (who.int)
  • A Cox proportional hazard model identified four risk factors for hypokalaemia: YK administration (not YKCH) (HR 3.093, 95% CI 1.408 to 6.798), co-administration of LPIDs (HR 2.743, 95% CI 1.754 to 4.289), hypoalbuminaemia at baseline (HR 2.145, 95% 1.360 to 3.384), and full dosage administration (7.5 g/day) (HR 1.600, 95% CI 1.005 to 2.549). (bmj.com)
  • The Cox proportional hazard model and Kaplan-Meier curve were used to analyze the efficacy and safety events. (medsci.org)
  • Conclusions Modified risk stratification using a four-stratum model based on refined cut-off levels for functional class, 6MWD and BNP/NT-proBNP was more sensitive to prognostically relevant changes in risk than the original three-stratum model. (uni-koeln.de)