Search results for "lag time"

showing 9 items of 9 documents

Population Pharmacokinetics of Palbociclib in aReal-World Situation

2021

Palbociclib is an oral cyclin-dependent kinase inhibitor that is used in combination with aromatase inhibitors in the treatment of postmenopausal women with metastatic breast cancer. Its metabolism profile is associated with an important interpatient variability. We performed a population pharmacokinetics study of palbociclib in women routinely followed in a cancer center. One hundred and fifty-one samples were analyzed. The sampling times after administration ranged from 0.9 to 75 h and the samples were taken between 1 and 21 days after the beginning of the palbociclib cycle. Palbociclib was determined using a validated mass spectrometry method. The best model that described the concentrat…

Oncologymedicine.medical_specialtypalbociclibPharmaceutical ScienceRenal functionlcsh:Medicinelcsh:RS1-441Population pharmacokineticsAbsorption (skin)Palbociclib030226 pharmacology & pharmacyArticlelcsh:Pharmacy and materia medica03 medical and health sciences0302 clinical medicineLag timepopulation pharmacokineticsInternal medicineDrug Discoverymedicinereal-world situationDosingPostmenopausal womenbusiness.industrylcsh:Rmedicine.diseaseMetastatic breast cancer030220 oncology & carcinogenesisMolecular MedicinebusinessPharmaceuticals
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Why Moving Averages?

2017

This chapter presents a brief motivation for using moving averages for trend detection, how moving averages are computed, and their two key properties: the average lag (delay) time and smoothness. The most important thing to understand right from the start is that there is a direct relationship between the average lag time and smoothness of a moving average.

Smoothness (probability theory)Lag timeDividend discount modelTrend detectionMoving averageLagStatisticsMathematics
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One-Cell Doubling Evaluation by Living Arrays of Yeast, ODELAY!

2016

Abstract Cell growth is a complex phenotype widely used in systems biology to gauge the impact of genetic and environmental perturbations. Due to the magnitude of genome-wide studies, resolution is often sacrificed in favor of throughput, creating a demand for scalable, time-resolved, quantitative methods of growth assessment. We present ODELAY (One-cell Doubling Evaluation by Living Arrays of Yeast), an automated and scalable growth analysis platform. High measurement density and single-cell resolution provide a powerful tool for large-scale multiparameter growth analysis based on the modeling of microcolony expansion on solid media. Pioneered in yeast but applicable to other colony formin…

0301 basic medicineSystems biologySaccharomyces cerevisiaeCellBioengineeringSaccharomyces cerevisiaeInvestigationsBiologyyeastQH426-470lag time03 medical and health sciencesGenetic HeterogeneityLag timeSingle-cell analysismedicinePopulation Heterogeneitycarrying capacityGeneticsDoubling timeMolecular BiologyThroughput (business)Genetics (clinical)030304 developmental biologyCell Proliferation0303 health sciencesGenomeEcology030306 microbiologyCell growthSystems BiologyCell CycleHuman Genomebiology.organism_classificationYeast030104 developmental biologymedicine.anatomical_structurePhenotypeFungalGene-Environment Interactiongrowth ratefitness assessmentGeneric health relevanceGenome FungalSingle-Cell AnalysisBiological systemG3: Genes, Genomes, Genetics
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Enhanced thrombin generation in patients with cirrhosis-induced coagulopathy.

2010

Summary. Background: Prothrombin time (PT) and the international normalized ratio (INR) are still routinely measured in patients with liver cirrhosis to ‘assess’ their bleeding risk despite the lack of correlation with the two. Thrombin generation (TG) assays are global assays of coagulation that are showing promise in assessing bleeding and thrombosis risks. Aim: To study the relationship between the INR and TG profiles in cirrhosis-induced coagulopathy. Methods: Seventy-three patients with cirrhosis were studied. All TG parameters were compared with those from a normal control group. Contact activation was prevented using corn trypsin inhibitor. TG was also assayed in the presence of Prot…

MaleRiskmedicine.medical_specialtyPathologyCirrhosisHemorrhageGastroenterologyThrombin generationLag timeFibrinolytic AgentsInternal medicinemedicineCoagulopathyHumansIn patientInternational Normalized RatioBlood CoagulationAgedbusiness.industryThrombinAnticoagulantsHematologyBlood Coagulation DisordersMiddle Agedmedicine.diseaseThrombosisFibrosisCoagulationLiverIntercellular Signaling Peptides and ProteinsFemalebusinessPeptidesProtein Cmedicine.drugProtein CJournal of thrombosis and haemostasis : JTH
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ODELAY: A Large-scale Method for Multi-parameter Quantification of Yeast Growth

2017

Growth phenotypes of microorganisms are a strong indicator of their underlying genetic fitness and can be segregated into 3 growth regimes: lag-phase, log-phase, and stationary-phase. Each growth phase can reveal different aspects of fitness that are related to various environmental and genetic conditions. High-resolution and quantitative measurements of all 3 phases of growth are generally difficult to obtain. Here we present a detailed method to characterize all 3 growth phases on solid media using an assay called One-cell Doubling Evaluation of Living Arrays of Yeast (ODELAY). ODELAY quantifies growth phenotypes of individual cells growing into colonies on solid media using time-lapse mi…

0301 basic medicinephenotype assayGeneral Chemical EngineeringSaccharomyces cerevisiaeGenetic FitnessSaccharomyces cerevisiaeyeastBiologylag timeGeneral Biochemistry Genetics and Molecular Biology03 medical and health sciencescarrying capacityGrowth rateMulti parameterMicroscopyGrowth rateGeneral Immunology and Microbiologybusiness.industryGeneral NeuroscienceScale (chemistry)biology.organism_classificationPhenotypeSolid mediumYeastBiotechnologyCellular BiologyPhenotype030104 developmental biologyIssue 125fitness assessmentBiological systembusinessJournal of Visualized Experiments
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Basics of Moving Averages

2017

This chapter introduces the notion of a general weighted moving average and shows that each specific moving average can be uniquely characterized by either a price weighting function or a price-change weighting function. It also demonstrates how to quantitatively assess the average lag time and smoothness of a moving average. Finally, the analysis provided in this chapter reveals two important properties of moving averages when prices trend steadily.

Smoothness (probability theory)Lag timeMoving averageApplied mathematicsFunction (mathematics)WeightingMathematics
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Prevalence and incidence of multiple sclerosis in the city of Monreale, Italy

1997

The prevalence and incidence of multiple sclerosis (MS) in the city of Monreale, southern Italy were ascertained 10 years after a preliminary study in the same area. The study was undertaken in a population of 26,256 people. The patients were classified according to Poser’s criteria. The prevalence of MS on 31 December 1991 was 72.4 per 100,000 population. The incidence of MS for the period 1981–1991 was 3.3/100,000 per year. The mean period between onset and diagnosis of MS was 4.9 years for those patients found during this survey and 9.2 years for those in the first study. This study shows an increase of MS prevalence in Monreale city and a high incidence. The findings parallel the reduct…

AdultMalemedicine.medical_specialtyMultiple SclerosisAdolescentEpidemiologyPopulationAge DistributionLag timeEpidemiologyPrevalencemedicineHumansMultiple sclerosiSex DistributionChildeducationAgededucation.field_of_studybusiness.industryIncidenceMultiple sclerosisIncidence (epidemiology)Infant NewbornInfantMiddle Agedmedicine.diseaseHealth SurveysItalyNeurologyChild PreschoolSettore MED/26 - NeurologiaFemaleNeurology (clinical)businessDemographyJournal of Neurology
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Moving Averages for Market Timing

2016

This paper begins by presenting the moving average methodology of detecting the direction of a trend and identifying turning points in the trend in real time. The paper then proceeds to introduce the general weighted moving average, derives some of its key properties, and discusses how to quantitatively assess the two important characteristics of a moving average: the average lag time and the smoothness. Finally the paper aims to give an overview of some specific types of moving averages used in market timing. These types include regular moving averages, moving averages of moving averages, and mixed moving averages with less lag time. Different types of moving averages are compared to each …

Identification (information)Lag timeSmoothness (probability theory)Moving averageLagStatisticsEconometricsTurning pointMarket timingMoving average crossoverMathematicsSSRN Electronic Journal
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Types of Moving Averages

2017

This chapter presents a detailed review of all ordinary types of moving averages, as well as some exotic types of moving averages. These exotic moving averages include moving averages of moving averages and mixed moving averages with less average lag time. For the majority of moving averages, this chapter computes the closed-form solutions for the average lag time and smoothness. This chapter also demonstrates that the average lag time of a moving average can easily be manipulated; therefore the notion of the average lag time has very little to do with the delay time in the identification of turning points in a price trend.

Identification (information)Smoothness (probability theory)Lag timeMoving averageStatisticsMathematicsDelay time
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