Applying competing risks regression models: an overview. - Wikidata - wikimedia - TriplyDB

Applying competing risks regression models: an overview.

Applying competing risks regression models: an overview.

http://www.wikidata.org/entity/Q38046436

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Effect of the readmission primary diagnosis and time interval in heart failure patients: analysis of English administrative data.Temporal trend in dementia incidence since 2002 and projections for prevalence in England and Wales to 2040: modelling study Activated Protein C Resistance Does Not Increase Risk for Recurrent Stroke or Death in Stroke Patients APOE-related risk of mild cognitive impairment and dementia for prevention trials: An analysis of four cohorts.Natural history of diseases: Statistical designs and issues.Analysing adverse events by time-to-event models: the CLEOPATRA study.Pyogenic liver abscess in patients with inflammatory bowel disease: a nationwide cohort study.Predictors of Long-Term Mortality and Frequent Re-Hospitalization in Patients with Acute Decompensated Heart Failure and Kidney Dysfunction Treated with Renin-Angiotensin System Blockers.Prospective association between tobacco smoking and death by suicide: a competing risks hazard analysis in a large twin cohort with 35-year follow-up.Association between age and survival in a cohort of Brazilian patients with operable breast cancer.Cardiovascular disease among people with drug use disorders.Survival analysis in the presence of competing risks.Predictors of mortality and ICD shock therapy in primary prophylactic ICD patients-A systematic review and meta-analysis.Survival Without Cardiac Transplantation Among Children With Dilated Cardiomyopathy.An introduction to survival models: in honor of Ross Prentice.Association between Obesity and Cancer: An Analysis Using the Competing Risk Regression Approach

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Applying competing risks regression models: an overview.

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Lifetime Data Analysis

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Applying competing risks regression models: an overview

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Georg Schmidt

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Kurt Ulm

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P2860

Nonparametric Estimation from Incomplete Observations

Risk stratification after acute myocardial infarction by heart rate turbulence

An EM-based semi-parametric mixture model approach to the regression analysis of competing-risks data.

Regression modeling of competing risks data based on pseudovalues of the cumulative incidence function.

Understanding competing risks: a simulation point of view

SAS and R functions to compute pseudo-values for censored data regression.

Simulating competing risks data in survival analysis.

Competing risk regression models for epidemiologic data.

Practical methods for competing risks data: a review.

Parametric mixture models to evaluate and summarize hazard ratios in the presence of competing risks with time-dependent hazards and delayed entry.

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s10985-012-9230-8

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33-58

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scholarly article

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10.1007/S10985-012-9230-8

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1

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19

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Bernhard Haller

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2012-09-26T00:00:00Z

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231210489

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