In this regard, post-hoc analyses, registry reports, and meta-analyses have provided evidence of a survival benefit associated ... Time to death and estimated survival rates for the conventional survival analysis are shown in table 2. ... A critical analysis of survival in pulmonary arterial hypertension. Eur Respir Rev 2012;21:218-22. doi:10.1183/ ... Survival analysis from the INCREASE study in PH-ILD: evaluating the impact of treatment crossover on overall mortality ...
Fertility progression in Germany: An analysis using flexible nonparametric cure survival models. By Vincent Bremhorst, Michaela ... Anticipatory analysis and its alternatives in life-course research: Part 2: Marriage and first birth Volume 15 - Article 17 ... Anticipatory analysis and its alternatives in life-course research: Part 1: Education and first childbearing Volume 15 - ... Fertility Decisions in the FRG and GDR: An Analysis with Data from the German Fertility and Family Survey Special Collection 3 ...
Does the frailty phenotype at the age of 66 to 71 predict death? A 14-year survival analysis of the Lc65+ study *Sarah ... A 14-year survival analysis of the Lc65+ study. Swiss Med Wkly [Internet]. 2021 Sep. 2 [cited 2023 Sep. 29];151(3536):w30042. ... Survival curves showed a significant effect of (pre-)frailty on the risk of dying for both sexes. The effect of (pre-)frailty ... Prevalence of frailty in 62 countries across the world: a systematic review and meta-analysis of population-level studies. Age ...
Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival AnalysisJeroen ... Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis. Jeroen ... T Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis %A ... Learning Queueing Policies for Organ Transplantation Allocation using Interpretable Counterfactual Survival Analysis. ...
Qualitative analysis of entrainment abundance and survival of fish species or the St-Lawrence-FDR Power Project ...
Epidemiology of breast cancer in women in Jordan: patient characteristics and survival analysis ... Furthermore, the size of the study was sufficiently large to perform survival analysis across different subgroups of breast ... Vahdaninia M, Montazeri A. Breast cancer in Iran: survival analysis. Asian Pacific Journal of Cancer Prevention, 2004, 5(2):223 ... Dickman PW, Hakulinen T. Population-based cancer survival analysis (statistics in practice series). New Jersey, John Wiley, ...
... inhibitor maintenance treatment in the second-line setting experienced a longer time to next treatment and overall survival ... Real-World Analysis Shows Survival Benefit With Second-Line PARP Maintenance Over Active Surveillance in Ovarian Cancer. March ... Disparities in Survival Outcomes Revealed With BluePrint and MammaPrint Subtyping in HR+/HER2- Breast Cancer ... Disparities in Survival Outcomes Revealed With BluePrint and MammaPrint Subtyping in HR+/HER2- Breast Cancer ...
Cancer Research UK Cancer Survival Group. Strel computer program version 1.2 for cancer survival analysis. London School of ... Relative survival is the ratio of the observed probability of survival and the probability of survival that would have been ... The cancer sites included in this study were those incorporated for survival analysis in the annual compendium of clinical and ... Relative survival and the estimation of net survival: elements for further discussion. Stat Med 1990;9:529-38. ...
Therefore, this study aims to establish a population ASCVD prediction model in rural areas of Xinjiang using survival analysis ... A total of 7975 residents (4054 males and 3920 females) aged 30-74 years were included in the analysis. The data set was ... A Cox regression, Lasso-Cox regression, and random survival forest (RSF) model were established in the training set. The model ... Survival analysis is a statistical analysis method that considers the outcome of an event and the time taken for the occurrence ...
Dive into the research topics of Cytogenetic risk groups in acute pediatric leukemia myeloid from the survival analysis in a ... Llimpe, Y. (2021). Cytogenetic risk groups in acute pediatric leukemia myeloid from the survival analysis in a reference ... Llimpe, Y 2021, Cytogenetic risk groups in acute pediatric leukemia myeloid from the survival analysis in a reference hospital ... Cytogenetic risk groups in acute pediatric leukemia myeloid from the survival analysis in a reference hospital in cancer in ...
Prognostic factors for survival in patients with IPF and CTD-ILD. Univariate Cox regression analysis in the overall cohort (IPF ... An Analysis of Connective Tissue Disease-associated Interstitial Lung Disease at a US Tertiary Care Center: Better Survival in ... An Analysis of Connective Tissue Disease-associated Interstitial Lung Disease at a US Tertiary Care Center: Better Survival in ... An Analysis of Connective Tissue Disease-associated Interstitial Lung Disease at a US Tertiary Care Center: Better Survival in ...
Blood-tissue analysis of TP53 polymorphisms and survival of patients with glioma - Journal of Neurosurgical Sciences 2021 ... Blood-tissue analysis of TP53 polymorphisms and survival of patients with glioma. Pier Paolo PANCIANI 1 ✉, Maria T. GIORDANA 2 ... Blood-tissue analysis of TP53 polymorphisms and survival of patients with glioma. J Neurosurg Sci 2021;65:8-13. DOI: 10.23736/ ... RESULTS: No association was observed with glioma susceptibility and overall survival. Two new SNPs were detected: c.97-46 G>A ( ...
One-year survival was 72.7% (8 patients); therefore, three-year survival was 36.4% (4 patients).. Conclusions:. Oncological ... Analysis of overall survival following hepatic resection at a single centre in Poland ... Recent data found in literature indicates improved survival following liver resection with systemic therapy.. Objective:. The ... Insa A, LLuch A, Prosper F, Marguan I, Marginez-Agullo A, Garcia-Conde J. Prognostic factors predicting survival from first ...
Long-term survival after autologous or allogeneic transplantation for T-cell lymphoma: a retrospective analysis of the EBMT- ...
... showing that the risk score can predict patient survival. (C) The survival curve showed that the survival rate of patients in ... Survival analysis and time receiver operating characteristic curves indicate that the prognostic signature has strong ... Moreover, the nomogram shows good performance in predicting the overall survival rate. The tROC analysis shows that the AUCs of ... Statistical analysis. All R language packages for statistical analysis are implemented on the "R v4.0.2" platform. P , 0.05 is ...
... median progression-free survival (mPFS), and median overall survival (mOS) of each treatment arm were surveyed; trials not ... Median post-progression survival (mPPS) was calculated as the difference between mOS and mPFS. Weighted Spearmans cor - ... relation coefficients between post-Cx% and survival outcomes (mOS and mPPS) were calculated. The effect of post-Cx% on survival ... and survival benefit of third-line chemotherapy (3rd-Cx) for advanced gastric cancer (AGC). Methods Phase III trials of ...
This meta-analysis suggests that an obesity survival paradox exists for pneumonia. Because this meta-analysis is based on ... Therefore, we conducted a meta-analysis to assess the associations between increased body mass index (BMI), pneumonia risk, and ... In the dose-response analysis, the estimated summary RR of pneumonia per 5 kg/m2 increase in BMI was 1.04 (95% CI 1.01 to ... This meta-analysis suggests that an obesity survival paradox exists for pneumonia. Because this meta-analysis is based on ...
Use survival analysis to predict survival probabilities for future periods not contained in the survival dataset, like a time- ... I am studying survival analysis and am trying to see if theres a way to probabilistically forecast future outcomes, using ... Using survival analysis, how could I probabilistically forecast events for months 501-1000 for lung1, assuming I only had data ... but I wonder if theres a better solution using survival analysis? A problem with these time-series models is generating ...
Concordance indexes were 0.852, 0.778, and 0.818 for 1-, 3- and 5-year survival. This prognostic model could discriminate high ... Three machine learning algorithms were used to create an Machine learning survival predictive system for CRC. Concordance ... The current study performed differentially expressed analyses between normal tissues and tumor tissues. Univariate Cox ... Survival_Prediction_for_CRC_B1005_1/ , which was valuable for individualized treatment decision before surgery. ...
Epinephrine and short-term survival in cardiogenic shock: an individual data meta-analysis of 2583 patients. Autoři. LEOPOLD ... Epinephrine and short-term survival in cardiogenic shock: an individual data meta-analysis of 2583 patients ... Meta-analysis; Cardiogenic shock; Epinephrine; Prognosis Popis. Catecholamines have been the mainstay of pharmacological ... We performed a meta-analysis of individual data with prespecified inclusion criteria: (1) patients in non-surgical CS treated ...
dataset ,- survival::colon ,, data.table::as.data.table() ,, na.omit() dataset ,- dataset[get(etype) == 2, ] surv_cols ,- c( ... rpart: Survival Analysis. library(mlexperiments) library(mlsurvlrnrs). See https://github.com/kapsner/mlsurvlrnrs/blob/main/R/ ... survival::Surv( event = (dataset[data_split$test, get(status)] ,, as.character() ,, as.integer()), time = dataset[data_split$ ... survival::Surv( event = (dataset[data_split$train, get(status)] ,, as.character() ,, as.integer()), time = dataset[data_split ...
Five-year disease free survival for the whole cohort was 63 % (CI 52.5-73.5 %). Multivariable analysis revealed only ... disease recurrence and survival. HPV16 DNA and HPV16 mRNA were present in 45.2 % and 21.4 % of patients, respectively ... which could contribute to the widely reported improved survival and prognosis. Larger studies are required to validate the ... that HPV16 E6/E7 oncogene and p53 function within tumours were associated with the widely reported improved patient survival ...
The R package survival is required for fitting survival curves.. Draw survival curves without grouping. # Fit survival curves ... Draw survival curves with two groups. Basic plots. # Fit survival curves require("survival") fit<- survfit(Surv(time, status ... Survival curves with multiple groups. # Fit (complexe) survival curves #++++++++++++++++++++++++++++++++++++ require("survival ... Survival analysis focuses on the expected duration of time until occurrence of an event of interest. However, this failure time ...
... ... the FPC scores are shown to be a more powerful prognostic factor than other common summaries when used in survival analysis. ... Here, we illustrate how functional principal component (FPC) analysis provides an effective statistical approach for exploiting ...
Convolutional neural network;survival analysis;histology;region of interest (ROI);high power fields (HPFS);DensNet 121;VGG-19; ... The loss function of Cox-proportional hazard has been used to fit a survival model. For each CNN survival model, a 15-fold ... of the patients and survival time of the patient. Five diverse CNN models have been trained namely, DensNet121, VGG-19, ... emerging role of deep learning in the field of precision medicine and suggest an expanding utility for computational analysis ...
A second decade lifetable survival analysis of the Oxford unicompartmental knee arthroplasty.. ... The 16-year all cause revision cumulative survival rate was 91.0% (CI 6.4, 71 at risk) and survival was maintained to 20 years ... The primary outcome was 20-year survival, a key variable in assessing the longevity of arthroplasty.. RESULTS:. ...
Where possible, we will seek to pool results to conduct a meta-analysis and undertake relevant subgroup analysis including by ... Reliable estimates of survival following a diagnosis of HF are important to guide management and facilitate advanced care ... Most existing research has focused on survival rates for patients admitted to hospital with acute HF. However, the majority of ... This systematic review will provide up to date evidence on the current survival rates and prognostic indicators for patients ...
... our pan-cancer analyses demonstrate a wider application of the IPRP signature for prognostic prediction and analysis of tumor- ... we demonstrate that the IPRP score leads to more consistent and accurate survival prediction performance, compared with 10 ... 7: Pan-cancer analysis of the IPRP score.. A Cox regression analysis of IRPR score across 33 cancer types, where p-values are ... our pan-cancer analyses show its wider application for survival prediction and analysis of tumor immunity in multiple cancer ...
... our pan-cancer analyses demonstrate a wider application of the IPRP signature for prognostic prediction and analysis of tumor- ... we demonstrate that the IPRP score leads to more consistent and accurate survival prediction performance, compared with 10 ... 7: Pan-cancer analysis of the IPRP score.. A Cox regression analysis of IRPR score across 33 cancer types, where p-values are ... our pan-cancer analyses show its wider application for survival prediction and analysis of tumor immunity in multiple cancer ...