Search results for "Risk Estimate"

showing 8 items of 8 documents

Riskard 2005. New tools for prediction of cardiovascular disease risk derived from Italian population studies.

2005

Abstract Background and aim The need to update tools for the estimate of cardiovascular risk prompted the “Gruppo di Ricerca per la Stima del Rischio Cardiovascolare in Italia” to produce a new chart and new software called Riskard 2005. Methods and results Data from 9 population studies in 8 Italian regions, for a grand total of 17,153 subjects (12,045 men and 5,108 women) aged 35–74 and for a total exposure of about 194,000 person/years were available. A chart for the estimate of cardiovascular risk (major coronary, cerebrovascular and peripheral artery disease events) in 10 years was produced for men and women aged 45–74 free from cardiovascular diseases. Risk factors employed in the est…

AdultMaleRiskmedicine.medical_specialtyEndocrinology Diabetes and MetabolismPopulationMedicine (miscellaneous)Risk AssessmentDiabetes ComplicationsSex FactorsPredictive Value of TestsRisk FactorsSoftware DesignPrevalenceMedicineHumansRisk factoreducationAgededucation.field_of_studyNutrition and DieteticsFramingham Risk Scorebusiness.industrySmokingAbsolute risk reductionAge FactorsMiddle AgedSurgeryRisk EstimateCholesterolItalyCardiovascular DiseasesRelative riskHypertensionFemaleCardiology and Cardiovascular MedicinebusinessRisk assessmentBody mass indexAlgorithmsDemographyFollow-Up StudiesNutrition, metabolism, and cardiovascular diseases : NMCD
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Long-term radiation exposure in patients undergoing EVAR: Reflecting clinical day-to-day practice to assess realistic radiation burden.

2018

Endovascular repair of aortic aneurysms (EVAR) has become an established treatment option currently applied in an increasing numbers of patients with aortic aneurysms. Advantages include reduced surgical trauma, procedural time, intensive care unit and hospital lengths of stay, blood loss as well as morbidity and mortality.The optimal imaging modalities in EVAR follow-up as well as the appropriate intervals between these follow-ups remain subject of controversial discussion. Objective of this study was the evaluation of the realistic radiation exposure and risk estimate postop EVAR treatment.Of the follow-ups required according to the surveillance schedule during the first year post-EVAR, o…

AdultMalemedicine.medical_specialtyTime FactorsPhysiology030204 cardiovascular system & hematology030218 nuclear medicine & medical imaginglaw.invention03 medical and health sciencesAortic aneurysm0302 clinical medicinelawRisk FactorsPhysiology (medical)medicineHumansIn patientAgedAged 80 and overbusiness.industryTreatment optionsHematologyMiddle AgedRadiation Exposuremedicine.diseaseIntensive care unitTerm (time)Radiation exposureRisk EstimateTreatment OutcomeEmergency medicineFemaleDay to dayCardiology and Cardiovascular MedicinebusinessAortic Aneurysm AbdominalClinical hemorheology and microcirculation
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Multiple primary neoplasms in childhood: data from the German children’s cancer registry

1998

Abstract The German Children’s Cancer Registry (GCCR) has documented all malignancies during the first 15 years of life in Germany since 1980. In a series of 20 388 cancer cases to the end of 1995, 127 children with multiple primary neoplasms up to the age of 15 years were identified. The children were monitored for 82 591 person-years with a mean observation time of 4.1 years. Relative and cumulative risk for the occurrence of second malignant neoplasms were estimated only for the first 15 years of life, as follow-up data beyond childhood are incomplete and valid data on the incidence of cancer in adolescents and adults are not available in Germany. The overall standardised incidence ratio…

Cancer ResearchPediatricsmedicine.medical_specialtyAdolescentMalignancyRisk AssessmentNeoplasms Multiple PrimaryGermanRisk FactorsGermanymedicineHumansRegistriesChildbusiness.industryIncidenceIncidence (epidemiology)Infant NewbornAbsolute risk reductionInfantCancerNeoplasms Second Primarymedicine.diseaselanguage.human_languageCancer registryRisk EstimateOncologyEl NiñoChild PreschoollanguagebusinessEuropean Journal of Cancer
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A novel Stochastic Discretized Weak Estimator operating in non-stationary environments

2012

The task of designing estimators that are able to track time-varying distributions has found promising applications in many real-life problems. A particularly interesting family of distributions are the binomial/multiomial distributions. Existing approaches resort to sliding windows that track changes by discarding old observations. In this paper, we report a novel estimator referred to as the Stochastic Discretized Weak Estimator (SDWE), that is based on the principles of Learning Automata (LA). In brief, the estimator is able to estimate the parameters of a time varying binomial distribution using finite memory. The estimator tracks changes in the distribution by operating on a controlled…

Mathematical optimizationDelta methodMinimum-variance unbiased estimatorEfficient estimatorConsistent estimatorStein's unbiased risk estimateApplied mathematicsEstimatorTrimmed estimatorInvariant estimatorMathematics2012 International Conference on Computing, Networking and Communications (ICNC)
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Finite Sample Efficiency and Drawbacks: An Illustration

2011

Historically, finite-sample efficiency was the first notion of optimality introduced and it is still encountered in introductory statistics texts. The definition has several drawbacks however, one being that it is restricted to the class of unbiased estimators. An example is given to illustrate this.

Mathematical optimizationEfficiencyStein's unbiased risk estimateEstimatorSample (statistics)Class (philosophy)U-statisticMathematicsSSRN Electronic Journal
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Signal Restoration via a Splitting Approach

2012

International audience; In the present study, a novel signal restoration method from noisy data samples is presented and is termed as "signal split (SSplit)" approach. The new method utilizes Stein unbiased risk estimate estimator to split the signal, the Lipschitz exponents to identify noise elements and a heuristic approach for the signal reconstruction. However, unlike many noise removal techniques, the present method works only in the non-orthogonal domain. Signal restoration was performed on each individual part by finding the best compromise between the data samples and the smoothing criteria. Statistical results are quite promising and suggest better performance than the conventional…

Mathematical optimization[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processingsplit or segmentationthresholding02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processingSignalmodulus maxima[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing0202 electrical engineering electronic engineering information engineeringLipschitz exponentMathematicscontinuous wavelet transformSignal reconstructionHeuristicNoise (signal processing)Estimator020206 networking & telecommunicationsLipschitz continuityStein unbiased risk estimatewavelet transform modulus maxima020201 artificial intelligence & image processingAlgorithm[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingSmoothingEnergy (signal processing)
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A Review of Healthcare Failure Mode and Effects Analysis (HFMEA) in Radiotherapy

2016

This paper presents a review of risk analyses in radiotherapy (RT) processes carried out by using Healthcare Failure Mode Effect Analysis (HFMEA) methodology, a qualitative method that proactively identifies risks to patients and corrects medical errors before they occur. This literature review was performed to provide an overview of how to approach the development of HFMEA applications in modern RT procedures, comparing recently published research conducted to support proactive programs to identify risks. On the basis of the reviewed literature, the paper suggests HFMEA shortcomings that need to be addressed.

medicine.medical_specialtyRadiology Nuclear Medicine and ImagingEpidemiologyHealth Toxicology and MutagenesisMEDLINESensitivity and Specificity030218 nuclear medicine & medical imagingrisk estimate03 medical and health sciences0302 clinical medicineNeoplasmsHealth caremedicineHumansMedical physicsHealthcare Failure Mode and Effect Analysisrisk analysiRadiation InjuriesradiotherapySettore ING-IND/19 - Impianti NucleariRadiation medicalMedical Errorsbusiness.industryReproducibility of ResultsSurvival Rate030220 oncology & carcinogenesisbusinessFailure mode and effects analysis
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VI: Konfidenzintervalle - die Alternative zum p-Wert

2003

Confidence intervals combine the ideas of clinical relevance and statistical significance by using one instructive expression, which enables remarkable reduction of table structures and result sections in scientific publications. Confidence interval based conclusions can be transferred from a clinical trial to its underlying study population with respect to a residual statistical error probability, i.e. the significance concept is retained. However, their presentation using the original unit of the clinical endpoint under consideration allows for immediate interpretation of the results' clinical impact. For example, the comparison of two therapy groups based on a binary endpoint becomes fea…

medicine.medical_specialtybusiness.industryInterval (mathematics)Confidence intervalSurgeryClinical trialOphthalmologyRisk EstimateStatistical significanceRelative riskStatisticsClinical endpointMedicineClinical significancebusinessKlinische Monatsblätter für Augenheilkunde
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