Survival analysis Part III: multivariate data analysis -- choosing a model and assessing its adequacy and fit.
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Steep Decline and Cessation in Seed Dispersal by Myrmica rubra AntsForaging fidelity as a recipe for a long life: foraging strategy and longevity in male Southern Elephant SealsReporting Recommendations for Tumor Marker Prognostic Studies (REMARK): explanation and elaboration.Survival analysis of time-to-event data in respiratory health research studies.A note on competing risks in survival data analysisSocioeconomic disparities in breast cancer survival: relation to stage at diagnosis, treatment and raceVariables with time-varying effects and the Cox model: some statistical concepts illustrated with a prognostic factor study in breast cancerImaging Biomarkers of Tumor Response in Neuroendocrine Liver Metastases Treated with Transarterial Chemoembolization: Can Enhancing Tumor Burden of the Whole Liver Help Predict Patient Survival?Biostatistics Series Module 9: Survival AnalysisPrediction of dementia in primary care patients.Family history of the cancer on the survival of the patients with gastrointestinal cancer in northern Iran, using frailty models.Outcome after surgical or conservative management of cerebral cavernous malformations.Chemoembolization for hepatocellular carcinoma: comprehensive imaging and survival analysis in a 172-patient cohort.Estimation and external validation of a new prognostic model for predicting recurrence-free survival for early breast cancer patients in the UK.Does the 2013 GOLD classification improve the ability to predict lung function decline, exacerbations and mortality: a post-hoc analysis of the 4-year UPLIFT trial.Survival analysis for economic evaluations alongside clinical trials--extrapolation with patient-level data: inconsistencies, limitations, and a practical guide.Impact of lymph node ratio on the survival of patients with hypopharyngeal squamous cell carcinoma: a population-based analysis.Application of hazard models for patients with breast cancer in Cuba.Transarterial chemoembolization in soft-tissue sarcoma metastases to the liver - the use of imaging biomarkers as predictors of patient survivalImaging response in the primary index lesion and clinical outcomes following transarterial locoregional therapy for hepatocellular carcinoma.Survival analysis part IV: further concepts and methods in survival analysisIdentifying Staging Markers for Hepatocellular Carcinoma before Transarterial Chemoembolization: Comparison of Three-dimensional Quantitative versus Non-three-dimensional Imaging MarkersEarly survival prediction after intra-arterial therapies: a 3D quantitative MRI assessment of tumour response after TACE or radioembolization of colorectal cancer metastases to the liver.Factors associated with mortality in Scottish patients receiving methadone in primary care: retrospective cohort study.Untreated clinical course of cerebral cavernous malformations: a prospective, population-based cohort study.Extremes of an aromatase index predict increased 25-year risk of cardiovascular mortality in older women.The association of fetuin-A with cardiovascular disease mortality in older community-dwelling adults: the Rancho Bernardo study.Stratification of Prognosis of Triple-Negative Breast Cancer Patients Using Combinatorial Biomarkers.Inflammation Enhances the Risks of Stroke and Death in Chronic Chagas Disease Patients.Choice of approach for hepatectomy for hepatocellular carcinoma located in the caudate lobe: isolated or combined lobectomy?Seizure risk with AVM treatment or conservative management: prospective, population-based studyKlebsiella pneumoniae bloodstream infection: epidemiology and impact of inappropriate empirical therapy.Risk of tuberculin conversion among healthcare workers and the adoption of preventive measures.Prognostic factors for the survival of patients with esophageal cancer in Northern Iran.Survival analysis for apparent diffusion coefficient measures in children with embryonal brain tumours.Insulin-like growth factor 1 receptor affects the survival of primary prostate cancer patients depending on TMPRSS2-ERG statusEarlier occurrence and increased explanatory power of climate for the first incidence of potato late blight caused by Phytophthora infestans in Fennoscandia.Comparison of Existing Response Criteria in Patients with Hepatocellular Carcinoma Treated with Transarterial Chemoembolization Using a 3D Quantitative Approach.Decreased Time to Treatment Initiation for Multidrug-Resistant Tuberculosis Patients after Use of Xpert MTB/RIF Test, Latvia.Association between BMI measured within a year after diagnosis of type 2 diabetes and mortality.
P2860
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P2860
Survival analysis Part III: multivariate data analysis -- choosing a model and assessing its adequacy and fit.
description
2003 nî lūn-bûn
@nan
2003 թուականի Օգոստոսին հրատարակուած գիտական յօդուած
@hyw
2003 թվականի օգոստոսին հրատարակված գիտական հոդված
@hy
2003年の論文
@ja
2003年論文
@yue
2003年論文
@zh-hant
2003年論文
@zh-hk
2003年論文
@zh-mo
2003年論文
@zh-tw
2003年论文
@wuu
name
Survival analysis Part III: mu ...... ssessing its adequacy and fit.
@ast
Survival analysis Part III: mu ...... ssessing its adequacy and fit.
@en
type
label
Survival analysis Part III: mu ...... ssessing its adequacy and fit.
@ast
Survival analysis Part III: mu ...... ssessing its adequacy and fit.
@en
prefLabel
Survival analysis Part III: mu ...... ssessing its adequacy and fit.
@ast
Survival analysis Part III: mu ...... ssessing its adequacy and fit.
@en
P2093
P2860
P356
P1476
Survival analysis Part III: mu ...... ssessing its adequacy and fit.
@en
P2093
P2860
P2888
P304
P356
10.1038/SJ.BJC.6601120
P407
P577
2003-08-01T00:00:00Z
2003-08-18T00:00:00Z
P5875
P6179
1019986642