Search results for "MULTISTATE MODELS"

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Clinical states of cirrhosis and competing risks.

2018

The clinical course of cirrhosis is mostly determined by the progressive increase of portal hypertension, hyperdynamic circulation, bacterial translocation and activation of systemic inflammation. Different disease states, encompassing compensated and decompensated cirrhosis and a late decompensated state, are related to the progression of these mechanisms and may be recognised by haemodynamic or clinical characteristics. While these disease states do not follow a predictable sequence, they correspond to varying mortality risk. Acute-on-chronic liver failure may occur either in decompensated or in compensated cirrhosis and is always associated with a high short-term mortality. The increasin…

Liver Cirrhosismedicine.medical_specialtyCirrhosisClinical course of cirrhosiDiseaseCompeting risksSystemic inflammationRisk AssessmentMultistate models for cirrhosi03 medical and health sciences0302 clinical medicineInternal medicinemedicineHumansPortal hypertensionIntensive care medicineCirrhosiHepatologybusiness.industryClinical courseClinical states of cirrhosiCompeting riskHepatologymedicine.diseasePrognosisCumulative incidence function030220 oncology & carcinogenesisHyperdynamic circulationDisease ProgressionPortal hypertension030211 gastroenterology & hepatologymedicine.symptombusinessJournal of hepatology
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A weighted combined effect measure for the analysis of a composite time-to-first-event endpoint with components of different clinical relevance

2018

Composite endpoints combine several events within a single variable, which increases the number of expected events and is thereby meant to increase the power. However, the interpretation of results can be difficult as the observed effect for the composite does not necessarily reflect the effects for the components, which may be of different magnitude or even point in adverse directions. Moreover, in clinical applications, the event types are often of different clinical relevance, which also complicates the interpretation of the composite effect. The common effect measure for composite endpoints is the all-cause hazard ratio, which gives equal weight to all events irrespective of their type …

Statistics and ProbabilityHazard (logic)EpidemiologyEndpoint Determination01 natural sciencesMeasure (mathematics)WIN RATIO010104 statistics & probability03 medical and health sciences0302 clinical medicineResamplingStatisticstime-to-eventHumansComputer Simulation030212 general & internal medicinerelevance weighting0101 mathematicsParametric statisticsEvent (probability theory)MathematicsProportional Hazards Modelsclinical trialsHazard ratiocomposite endpointWeightingPRIORITIZED OUTCOMESTRIALSData Interpretation StatisticalMULTISTATE MODELSINFERENCENull hypothesisMonte Carlo MethodStatistics in Medicine
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