Search results for "Biostatistics"

showing 10 items of 124 documents

An Empirical Evaluation of the Utility of Convex Hull and Standard Ellipse Areas for Assessing Population Niche Widths from Stable Isotope Data

2013

Stable isotope analyses are increasingly employed to characterise population niche widths. The convex hull area (TA) in a δ¹³C–δ¹⁵N biplot has been used as a measure of isotopic niche width, but concerns exist over its dependence on sample size and associated difficulties in among-population comparisons. Recently a more robust method was proposed for estimating and comparing isotopic niche widths using standard ellipse areas (SEA), but this approach has yet to be tested with empirical stable isotope data. The two methods measure different kind of isotopic niche areas, but both are now widely used to characterise isotopic niche widths of populations. We used simulated data and an extensive e…

0106 biological sciencesPopulation Dynamicslcsh:MedicinePopulation Modeling01 natural sciencesTheoretical EcologyFood Web StructureStatisticsRange (statistics)lcsh:ScienceFreshwater EcologyCarbon Isotopeseducation.field_of_studyMultidisciplinaryEcologyδ13CEcologyStable isotope ratioStatisticsFishesBiogeochemistryisotopic nicheTrophic Interactionstrophic nicheCommunity Ecologyconvex hullResearch ArticlePopulationNichestable isotopesBiostatistics010603 evolutionary biologyNiche ConstructionNormal distributionBayesian ellipse areavakaat isotoopitAnimals14. Life underwaterStatistical MethodseducationBiologyEcological nicheNitrogen Isotopes010604 marine biology & hydrobiologylcsh:RComputational BiologySpecies InteractionsSample size determinationSample SizeravintolokeroEnvironmental scienceta1181lcsh:QPopulation EcologyEcosystem ModelingMathematicsPLOS ONE
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Using the Intervention Mapping protocol to develop a family-based intervention for improving lifestyle habits among overweight and obese children: st…

2016

Abstract Background In light of the high prevalence of childhood overweight and obesity, there is a need of developing effective prevention programs to address the rising prevalence and the concomitant health consequences. The main aim of the present study is to systematically develop and implement a tailored family-based intervention for improving lifestyle habits among overweight and obese children, aged 6–10 years old, enhancing parental self-efficacy, family engagement and parent-child interaction. A subsidiary aim of the intervention study is to reduce the prevalence of overweight and obesity among those participating in the intervention study. Methods/design The Intervention Mapping p…

0301 basic medicineGerontologyCounselingParentsmedicine.medical_specialtyPediatric ObesityPilot ProjectsHealth PromotionOverweightChildhood obesity03 medical and health sciencesIntervention mappingStudy Protocol0302 clinical medicineIntervention (counseling)Health caremedicineHumansParental involvement030212 general & internal medicineChildhood obesityParent-Child RelationsChildExerciseLife Style030109 nutrition & dieteticsEnergy balance related behaviorbusiness.industryNorwayPublic healthlcsh:Public aspects of medicinePublic Health Environmental and Occupational Healthlcsh:RA1-1270Feeding Behaviormedicine.diseaseFamily lifeIntervention Mapping protocolResearch DesignChild PreschoolPhysical therapyFamily TherapyFemaleBiostatisticsmedicine.symptombusinessBMC Public Health
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Early food for future health: a randomized controlled trial evaluating the effect of an eHealth intervention aiming to promote healthy food habits fr…

2017

Childhood overweight and obesity is a global public health challenge. Primary prevention initiatives targeting parents have been called for to encourage a positive feeding environment and healthy eating habits that may lay a good foundation for future health. At the same time, there is a need for interventions which combine accessibility and scalability with cost effectiveness. Today’s parents are extensive Internet-users, but only a few randomized controlled trials have investigated the use of Internet to promote healthy eating habits in early childhood. In Early Food for Future Health we have developed and will evaluate an Internet-based tool for parents of children between 6 and 12 month…

0301 basic medicineGerontologyMalemedicine.medical_specialtyPediatricsPediatric ObesityCost effectivenessChildhood overweight and obesityParental feeding practicesPsychological interventionHealth Promotionlaw.invention03 medical and health sciencesStudy Protocol0302 clinical medicineRandomized controlled triallawIntervention (counseling)Surveys and QuestionnairesmedicineeHealthHumans030212 general & internal medicineEarly childhood030109 nutrition & dieteticsbusiness.industryNorwaylcsh:Public aspects of medicinePublic healthPublic Health Environmental and Occupational HealthInfantlcsh:RA1-1270Feeding BehaviorChild eating behaviorTelemedicineChild PreschoolFemaleBiostatisticsDiet HealthybusinessFollow-Up StudiesProgram Evaluation
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Towards development of a statistical framework to evaluate myotonic dystrophy type 1 mRNA biomarkers in the context of a clinical trial

2020

AbstractMyotonic dystrophy type 1 (DM1) is a rare genetic disorder, characterised by muscular dystrophy, myotonia, and other symptoms. DM1 is caused by the expansion of a CTG repeat in the 3’-untranslated region of DMPK. Longer CTG expansions are associated with greater symptom severity and earlier age at onset. The primary mechanism of pathogenesis is thought to be mediated by a gain of function of the CUG-containing RNA, that leads to trans-dysregulation of RNA metabolism of many other genes. Specifically, the alternative splicing (AS) and alternative polyadenylation (APA) of many genes is known to be disrupted. In the context of clinical trials of emerging DM1 treatments, it is important…

0301 basic medicineMicroarrayPhysiologyMicroarraysBioinformaticsBiochemistryMachine Learning0302 clinical medicineMathematical and Statistical TechniquesMedicine and Health SciencesMyotonic DystrophyMuscular dystrophyOligonucleotide Array Sequence AnalysisClinical Trials as TopicMultidisciplinaryMusclesQStatisticsRGenetic disorderMuscle AnalysisBody FluidsNucleic acidsBloodBioassays and Physiological AnalysisTreatment OutcomeGenetic DiseasesPhysical SciencesMedicineRegression AnalysisAnatomyDatabases Nucleic AcidResearch Articlemusculoskeletal diseasesGenetic Markerscongenital hereditary and neonatal diseases and abnormalitiesScienceContext (language use)Linear Regression AnalysisBiostatisticsResearch and Analysis MethodsPolyadenylationMyotonic dystrophyMyotonin-Protein Kinase03 medical and health sciencesmedicineGeneticsHumansRNA MessengerStatistical MethodsLeast-Squares AnalysisGeneClinical GeneticsModels Geneticbusiness.industryAlternative splicingBiology and Life Sciencesmedicine.diseaseMyotoniaAlternative Splicing030104 developmental biologyRNA processingRNAGene expressionbusinessTrinucleotide repeat expansionTrinucleotide Repeat Expansion030217 neurology & neurosurgeryBiomarkersMathematicsForecastingPLoS ONE
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Evaluation of tumor immune contexture among intrinsic molecular subtypes helps to predict outcome in early breast cancer

2021

BackgroundThe prognosis of early breast cancer is linked to clinic-pathological stage and the molecular characteristics of intrinsic tumor cells. In some patients, the amount and quality of tumor-infiltrating immune cells appear to affect long term outcome. We aimed to propose a new tool to estimate immune infiltrate, and link these factors to patient prognosis according to breast cancer molecular subtypes.MethodsWe performed in silico analyses in more than 2800 early breast cancer transcriptomes with corresponding clinical annotations. We first developed a new gene expression deconvolution algorithm that accurately estimates the quantity of immune cell populations (tumor immune contexture,…

0301 basic medicineOncologyCancer Researchmedicine.medical_specialtyMyeloid2435In silicoImmunologyCellbiostatisticsBreast NeoplasmsTranscriptome03 medical and health sciences0302 clinical medicineBreast cancerImmune systemLymphocytes Tumor-InfiltratingInternal medicinemedicineBiomarkers TumorImmunology and Allergytumor microenvironmentHumans1506Stage (cooking)RC254-282Neoplasm StagingPharmacologyClinical/Translational Cancer ImmunotherapyTumor microenvironmentbusiness.industryGene Expression ProfilingNeoplasms. Tumors. Oncology. Including cancer and carcinogensmedicine.diseasePrognosisSurvival AnalysisGene Expression Regulation Neoplastic030104 developmental biologymedicine.anatomical_structureOncology030220 oncology & carcinogenesistumor biomarkersMolecular MedicineFemalebusinessAlgorithmsUnsupervised Machine LearningJournal for Immunotherapy of Cancer
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The IASLC Lung Cancer Staging Project: Proposals for Revision of the TNM Stage Groupings in the Forthcoming (Eighth) Edition of the TNM Classificatio…

2016

AbstractThe IASLC Staging and Prognostic Factors Committee has collected a new database of 94,708 cases donated from 35 sources in 16 countries around the globe. This has now been analysed by our statistical partners at Cancer Research And Biostatistics and, in close collaboration with the members of the committee proposals have been developed for the T, N, and M categories of the 8th edition of the TNM Classification for lung cancer due to be published late 2016. In this publication we describe the methods used to evaluate the resultant Stage groupings and the proposals put forward for the 8th edition.

0301 basic medicinePulmonary and Respiratory Medicinemedicine.medical_specialtyPathologyLung NeoplasmsStagingMedizinPrognostic factors1102 Cardiovascular Medicine And HaematologyLung cancer; Prognostic factors; Staging03 medical and health sciences0302 clinical medicineSeer programmedicineHumansOncology & CarcinogenesisStage (cooking)Lung cancerNeoplasm Stagingbusiness.industryGeneral surgeryInternational Association for the Study of Lung Cancer Staging and Prognostic Factors Committee Advisory Boards and Participating Institutions1103 Clinical SciencesPrognosismedicine.diseaseInternational Association for the Study of Lung Cancer Staging and Prognostic Factors Committee Advisory Boards and Participating Institutions030104 developmental biologyOncology030220 oncology & carcinogenesisNeoplasm stagingBiostatisticsLung cancer stagingLung cancerbusinessSEER Program
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Stagewise pseudo-value regression for time-varying effects on the cumulative incidence

2015

In a competing risks setting, the cumulative incidence of an event of interest describes the absolute risk for this event as a function of time. For regression analysis, one can either choose to model all competing events by separate cause-specific hazard models or directly model the association between covariates and the cumulative incidence of one of the events. With a suitable link function, direct regression models allow for a straightforward interpretation of covariate effects on the cumulative incidence. In practice, where data can be right-censored, these regression models are implemented using a pseudo-value approach. For a grid of time points, the possibly unobserved binary event s…

0301 basic medicineStatistics and ProbabilityCarcinoma HepatocellularTime FactorsEpidemiologyComputer scienceFeature selectionBiostatistics01 natural sciences010104 statistics & probability03 medical and health sciencesRisk FactorsStatisticsCovariateEconometricsHumansComputer SimulationCumulative incidenceRegistries0101 mathematicsEvent (probability theory)Models StatisticalIncidenceLiver NeoplasmsAbsolute risk reductionRegression analysisRegression030104 developmental biologyRegression AnalysisJackknife resamplingAlgorithmsStatistics in Medicine
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Pathways of care for HIV infected children in Beira, Mozambique: pre-post intervention study to assess impact of task shifting

2018

Abstract Background In 2013, Mozambique implemented task-shifting (TS) from clinical officers to maternal and child nurses to improve care for HIV positive children < 5 years old. A retrospective, pre-post intervention study was designed to evaluate effectiveness of a new pathway of care in a sample of Beira District Local Health Facilities (LHFs), the primary, local, community healthcare services. Methods The study was conducted by accessing registries of At Risk Children Clinics (ARCCs) and HIV Health Services. Two time periods, pre- and post-intervention, were compared using a set of endpoints. Variables distribution was explored using descriptive statistics. T-student, Mann Whitney and …

0301 basic medicinemedicine.medical_specialtyReferralHIV InfectionsHIV infected childrenSettore MED/42 - Igiene Generale E ApplicataPost-intervention03 medical and health sciences0302 clinical medicineHIV exposed infants; HIV infected children; Human immunodeficiency virus; Paediatric HIV care and treatment; Pathways of care; Task-shiftingIntervention (counseling)EpidemiologyHealth caremedicineHumansHealth Workforce030212 general & internal medicineHuman immunodeficiency viruReferral and ConsultationMozambiqueRetrospective StudiesDescriptive statisticsbusiness.industryHuman immunodeficiency virusPublic healthlcsh:Public aspects of medicinePaediatric HIV care and treatmentPublic Health Environmental and Occupational HealthInfantHIV exposed infantlcsh:RA1-1270030112 virologyTask-shiftingHIV exposed infantsCD4 Lymphocyte CountChild PreschoolFamily medicineHealth Services ResearchBiostatisticsbusinessDelivery of Health CarePathways of careResearch ArticleBMC Public Health
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Aportaciones al análisis bayesiano semiparamétrico de datos de supervivencia

1998

:MATEMÁTICAS [UNESCO]Biology BiostatisticsUNESCO::MATEMÁTICAS
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Modelos de clasificación regulares

1984

:MATEMÁTICAS [UNESCO]Biology BiostatisticsUNESCO::MATEMÁTICAS
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