Search results for "ennusteet"

showing 10 items of 64 documents

Predictors of mortality in old age : contribution of self-rated health, physical functions, life satisfaction and social support on survival among ol…

2006

Length of life is perhaps the best single indicator of the health of a population. The purpose of the present series of studies was to explore the potential predictors of mortality in older people with special emphasis on self-rated health, physical functions, life satisfaction and perceived social support.The four studies used prospective data drawn from 1) the Evergreen study, where mortality was followed for 10 years in an entire cohort of the 75- and 80-year-old (N=650) residents of the city of Jyväskylä, Finland, 2) the Functional capacity of men born in 1906-10, 1926-30 and 1946-50 research project from which two oldest age cohorts, 257 residents of the city of Jyväskylä, Finland aged…

kuolleisuuselinikäselviytyminenmielialavaikutuksetelinajanodotehyvinvointivanhuksetsosiaalinen tukipsykososiaalinen tukiennusteetelämänlaatupsykososiaaliset tekijätkoettu terveysfyysinen kuntohenkinen hyvinvointielämänhalutoimintakykytyytyväisyysterveysvaikutuksetikääntyneet
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Efficient design and modeling strategies for follow-up studies with time-varying covariates

2015

Epidemiological studies can often be designed in several ways, some of which may be more optimal than others. Possible designs may differ in the required resources or the ability to provide reliable answers to the questions under study. In addition, once the data are collected, the selected modeling approach may affect how efficiently the data are utilized. The purpose of this dissertation is to investigate efficient designs and analysis meth ods in follow-up studies with longitudinal measurements. A key question is how to select optimally a subcohort for a new longitudinal covariate measurement if we cannot afford to measure the entire cohort. Another key question we consider is how to determine …

kuolleisuustime-varying covariatesdata collectionkustannustehokkuusanalyysimenetelmätennusteetfollow-up studypitkittäistutkimusoptimaalisuusrisk predictiondataaikariippuvat kovariaatitSeurantatutkimustutkimusmenetelmätsydän- ja verisuonitauditcardiovascular disease mortalitylongitudinal measurementssimulointioptimal designepidemiologiakohorttitutkimustutkimusaineistoterveysriskit
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IGF2BP3 Associates with Proliferative Phenotype and Prognostic Features in B-Cell Acute Lymphoblastic Leukemia

2021

Simple Summary Although the prognosis of acute lymphoblastic leukemia (ALL) has improved significantly during the past decades, ALL remains a major cause of pediatric cancer mortality, and more accurate risk-stratification is required. We investigated IGF2BP3, which has previously been associated with aggressive cancers, and found high and subtype-specific expression of IGF2BP3 in B-cell ALL, that was associated with good outcome in high-risk patients. Results suggest that IGF2BP3 could be useful to improve stratification and prognosis of B-ALL. Abstract The oncofetal protein insulin-like growth factor 2 mRNA-binding protein 3 (IGF2BP3) belongs to a family of RNA-binding proteins involved i…

lähetti-RNAmRNAproliferation3122 Cancersleukemiabiomarkkeritennusteetlcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogensinsulin-like growth factor 2 mRNA-binding protein 3 (IGF2BP3)lcsh:RC254-282Articleinsulin-like growth factor 2 mRNA-binding protein 3 (<i>IGF2BP3</i>)akuutti lymfaattinen leukemiapediatric B-cell acute lymphoblastic leukemia1182 Biochemistry cell and molecular biologysyöpätauditproteiinitprognosisproteinCancers
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The “Seili-index” For The Prediction of Chlorophyll-α Levels In The Archipelago Sea of The Northern Baltic Sea, Southwest Finland

2021

AbstractTo build a forecasting tool for the state of eutrophication in the Archipelago Sea, we fitted a Generalized Additive Mixed Model (GAMM) to marine environmental monitoring data, which were collected over the years 2011–2019 by an automated profiling buoy at the Seili ODAS-station. The resulting “Seili-index” can be used to predict the chlorophyll-α (chl-a) concentration in the seawater a number of days ahead by using the temperature forecast as a covariate. An array of test predictions with two separate models on the 2019 data set showed that the index is adept at predicting the amount of chl-a especially in the upper water layer. The visualization with 10 days of chl-a level predict…

mallintaminenklorofylliIndex (economics)ympäristövaikutuksetcyanobacteriachemistry.chemical_compoundwindchlorophyllsyanobakteeritGeneral Environmental Sciencevesistötgeographygeography.geographical_feature_categoryrehevöityminentemperatureGeneralized Additive Mixed Model (GAMM)ennusteetprofling buoymerivesiOceanographyBaltic seachemistryympäristövaikutuksetSaaristomeriChlorophyllArchipelagoennustettavuuslämpötilamallit (mallintaminen)meret
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Species distributions models may predict accurately future distributions but poorly how distributions change: A critical perspective on model validat…

2023

Aim: Species distribution models (SDMs) are widely used to make predictions on how species distributions may change as a response to climatic change. To assess the reliability of those predictions, they need to be critically validated with respect to what they are used for. While ecologists are typically interested in how and where distributions will change, we argue that SDMs have seldom been evaluated in terms of their capacity to predict such change. Instead, typical retrospective validation methods estimate model's ability to predict to only one static time in future. Here, we apply two validation methods, one that predicts and evaluates a static pattern, while the other measures change…

mallintaminenmodel validationTemporal transferabilityforecastingBirdsspecies traitstemporal transferabilitySpecies distribution modellingClimate changelajitEcology Evolution Behavior and SystematicsModel validationFennoscandialand useennusteetlevinneisyyspredictionilmastonmuutoksetspecies distribution modellingclimate changebirdsvalidointiLand use1181 Ecology evolutionary biologylinnutmallit (mallintaminen)Species traitsPredictionForecastingDiversity and Distributions
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Prediction and interpolation of time series by state space models

2015

Artikkeliväitöskirja. Sisältää yhteenveto-osan ja neljä artikkelia. Article dissertation. Contains an introduction part and four articles. A large amount of data collected today is in the form of a time series. In order to make realistic inferences based on time series forecasts, in addition to point predictions, prediction intervals or other measures of uncertainty should be presented. Multiple sources of uncertainty are often ignored due to the complexities involved in accounting them correctly. In this dissertation, some of these problems are reviewed and some new solutions are presented. A state space approach is also advocated for an e cient and exible framework for time series forecas…

mallintaminenstate space modelsPrediction theoryaikasarjattila-avaruusmallitforecastingennusteetpredictionepävarmuusInterpolationaikasarja-analyysiR-kieliTime-series analysistime seriesuncertainty
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Inflammatory proteomics profiling for prediction of incident atrial fibrillation

2023

ObjectiveAtrial fibrillation (AF) has emerged as a common condition in older adults. Cardiovascular risk factors only explain about 50% of AF cases. Inflammatory biomarkers may help close this gap as inflammation can alter atrial electrophysiology and structure. This study aimed to determine a cytokine biomarker profile for this condition in the community using a proteomics approach.MethodsThis study uses cytokine proteomics in participants of the Finnish population-based FINRISK cohort studies 1997/2002. Risk models for 46 cytokines were developed to predict incident AF using Cox regressions. Furthermore, the association of participants’ C reactive protein (CRP) and N-terminal pro B-type n…

matala-asteinen tulehdusc-reaktiivinen proteiinisytokiinitsydän- ja verisuonitauditbiomarkkeritennusteetCardiology and Cardiovascular MedicineeteisvärinäproteomiikkaHeart
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Tertiary lymphoid structures in pulmonary metastases of microsatellite stable colorectal cancer

2023

Tertiary lymphoid structures (TLSs) are ectopic lymphoid aggregates located at sites of chronic inflammation and recognized as prognosticators in several cancers. We aimed to analyse the prognostic effect of TLSs in colorectal cancer (CRC) pulmonary metastases and primary tumours, with a comparison to the CD3+ and CD8+ cell density-based immune cell score (ICS). For TLS density and TLS maximum diameter analysis, 67 pulmonary metastases and 63 primary tumours were stained with haematoxylin and eosin. For ICS scoring and analysis, CD3 and CD8 immunohistochemistry was performed. Excellent interobserver agreement was achieved in all TLS measurements. Of all patients, 36 patients had low TLS den…

microsatellite stable colorectal cancerkasvaimetsyöpätauditennusteetpulmonary metastasiskeuhkottertiary lymphoid structuresetäpesäkkeetpaksusuolisyöpä
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Työtyytyväisyys pankeissa : tutkimus pankkilaisten työtyytyväisyydestä 1990-luvun pankkikriisin ja rakennemuutosten jälkeen

2002

pankitpankkikriisitennusteetpankkialatyötyytyväisyys
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Alder pollen in Finland ripens after a short exposure to warm days in early spring, showing biennial variation in the onset of pollen ripening

2017

We developed a temperature sum model to predict the daily pollen release of alder, based on pollen data collected with pollen traps at seven locations in Finland over the years 2000–2014. We estimated the model parameters by minimizing the sum of squared errors (SSE) of the model, with weights that put more weight on binary recognition of daily presence or absence of pollen. The model results suggest that alder pollen ripens after a couple of warm days in February, while the whole pollen release period typically takes up to 4 weeks. We tested the model residuals against air humidity, precipitation and wind speed, but adding these meteorological features did not improve the model prediction …

pollen seasonMonte Carlo -menetelmätlepätkukintaotorhinolaryngologic diseasesfood and beveragesmodelingMonte Carlo resamplingennusteetAlnusleppäsiitepöly
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