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Πλοήγηση ανά Θέμα "Bayes theorem"

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    • Global, regional, and national sex differences in the global burden of tuberculosis by HIV status, 1990–2019: results from the Global Burden of Disease Study 2019 

      Ledesma J.R., Ma J., Vongpradith A., Maddison E.R., Novotney A., Biehl M.H., Legrand K.E., Ross J.M., Jahagirdar D., Bryazka D., Feldman R., Abolhassani H., Abosetugn A.E., Abu-Gharbieh E., Adebayo O.M., Adnani Q.E.S., Afzal S., Ahinkorah B.O., Ahmad S.A., Ahmadi S., Rashid T.A., Salih Y.A., Aklilu A., Akunna C.J., Al Hamad H., Alahdab F., Alemayehu Y., Alene K.A., Ali B.A., Ali L., Alipour V., Alizade H., Al-Raddadi R.M., Alvis-Guzman N., Amini S., Amit A.M.L., Anderson J.A., Androudi S., Antonio C.A.T., Antony C.M., Anwer R., Arabloo J., Arja A., Asemahagn M.A., Atre S.R., Azhar G.S., Darshan B.B., Babar Z.-U.-D., Baig A.A., Banach M., Barqawi H.J., Barra F., Barrow A., Basu S., Belgaumi U.I., Bhagavathula A.S., Bhardwaj N., Bhardwaj P., Bhattacharjee N.V., Bhattacharyya K., Bijani A., Bikbov B., Boloor A., Briko N.I., Buonsenso D., Nagaraja S.B., Butt Z.A., Carter A., Carvalho F., Charan J., Chatterjee S., Chattu S.K., Chattu V.K., Christopher D.J., Chu D.-T., Claassens M.M., Dadras O., Dagnew A.B., Dai X., Dandona L., Dandona R., Daneshpajouhnejad P., Darwesh A.M., Dhamnetiya D., Dianatinasab M., Diaz D., Doan L.P., Eftekharzadeh S., Elhadi M., Emami A., Enany S., Faraon E.J.A., Farzadfar F., Fernandes E., Desideri L.F., Filip I., Fischer F., Foroutan M., Frank T.D., Garcia-Basteiro A.L., Garcia-Calavaro C., Garg T., Geberemariyam B.S., Ghadiri K., Ghashghaee A., Golechha M., Goodridge A., Gupta B., Gupta S., Gupta V.B., Gupta V.K., Haider M.R., Hamidi S., Hanif A., Haque S., Harapan H., Hargono A., Hasaballah A.I., Hashi A., Hassan S., Hassankhani H., Hayat K., Hezam K., Holla R., Hosseinzadeh M., Hostiuc M., Househ M., Hussain R., Ibitoye S.E., Ilic I.M., Ilic M.D., Irvani S.S.N., Ismail N.E., Itumalla R., Jaafari J., Jacobsen K.H., Jain V., Javanmardi F., Jayapal S.K., Jayaram S., Jha R.P., Jonas J.B., Joseph N., Joukar F., Kabir Z., Kamath A., Kanchan T., Kandel H., Katoto P.D.M.C., Kayode G.A., Kendrick P.J., Kerbo A.A., Khajuria H., Khalilov R., Khatab K., Khoja A.T., Khubchandani J., Kim M.S., Kim Y.J., Kisa A., Kisa S., Kosen S., Koul P.A., Laxminarayana S.L.K., Koyanagi A., Krishan K., Bicer B.K., Kumar A., Kumar G.A., Kumar N., Kumar N., Kwarteng A., Lak H.M., Lal D.K., Landires I., Lasrado S., Lee S.W.H., Lee W.-C., Lin C., Liu X., Lopukhov P.D., Lozano R., Machado D.B., Kunjathur S.M., Madi D., Mahajan P.B., Majeed A., Malik A.A., Martins-Melo F.R., Mehta S., Memish Z.A., Mendoza W., Menezes R.G., Merie H.E., Mersha A.G., Mesregah M.K., Mestrovic T., Mheidly N.M., Misra S., Mithra P., Moghadaszadeh M., Mohammadi M., Mohammadian-Hafshejani A., Mohammed S., Molokhia M., Moni M.A., Al Montasir A., Moore C.E., Nagarajan A.J., Nair S., Nair S., Naqvi A.A., Swamy S.N., Nayak B.P., Nazari J., Kandel S.N., Nguyen T.H., Nixon M.R., Nnaji C.A., Ntsekhe M., Nuñez-Samudio V., Oancea B., Odukoya O.O., Olagunju A.T., Oren E., Mahesh P.A., Parthasarathi R., Kan F.P., Pattanshetty S.M., Paudel R., Paul P., Pawar S., Pepito V.C.F., Perico N., Pirestani M., Polibin R.V., Postma M.J., Pourshams A., Prashant A., Pribadi D.R.A., Radfar A., Rafei A., Rahim F., Rahimi-Movaghar V., Rahman M., Rahman M., Rahmani A.M., Ranasinghe P., Rao C.R., Rawaf D.L., Rawaf S., Reitsma M.B., Remuzzi G., Renzaho A.M.N., Reta M.A., Rezaei N., Rezahosseini O., Rezai M.S., Rezapour A., Roshandel G., Roshchin D.O., Sabour S., Saif-Ur-rahman K.M., Salam N., Kafl H.S., Samaei M., Samy A.M., Saroshe S., Sartorius B., Sathian B., Sawyer S.M., Senthilkumaran S., Seylani A., Shafaat O., Shaikh M.A., Sharaf K., Shetty R.S., Shigematsu M., Shin J.I., Silva J.P., Singh J.K., Sinha S., Skryabin V.Y., Skryabina A.A., Spurlock E.E., Sreeramareddy C.T., Steiropoulos P., Sufyan M.B., Tabuchi T., Tadesse E.G., Tamir Z., Tarkang E.E., Tekalegn Y., Tesfay F.H., Tessema B., Thapar R., Tleyjeh I.I., Tobe-Gai R., Tran B.X., Tsegaye B., Tsegaye G.W., Ullah A., Umeokonkwo C.D., Tahbaz S.V., Vo B., Vu G.T., Waheed Y., Walters M.K., Whisnant J.L., Woldekidan M.A., Wubishet B.L., Jabbari S.H.Y., Yazie T.S.Y., Yeshaw Y., Yi S., Yigit V., Yonemoto N., Yu C., Yunusa I., Zastrozhin M.S., Zastrozhina A., Zhang Z.-J., Zumla A., Mokdad A.H., Salomon J.A., Reiner R.C., Jr., Lim S.S., Naghavi M., Vos T., Hay S.I., Murray C.J.L., Kyu H.H., GBD 2019 Tuberculosis Collaborators (2022)
      Background: Tuberculosis is a major contributor to the global burden of disease, causing more than a million deaths annually. Given an emphasis on equity in access to diagnosis and treatment of tuberculosis in global health ...

    • Hierarchical true prevalence, risk factors and clinical symptoms of tuberculosis among suspects in Bangladesh 

      Khan M.K., Islam MdN., Hassan J., Paul S.K., Islam M.A., Pateras K., Kostoulas P., Ward M.P., Rahman A.K.M.A., Alam MdM. (2022)
      Background The study was aimed to estimate the true prevalence of human tuberculosis (TB); identify risk factors and clinical symptoms of TB; and detect rifampicin (RIF) sensitivity in three study areas of Bangladesh. ...

    • Initial psychometric testing of the coach-adapted version of the empowering and disempowering motivational climate questionnaire: A Bayesian approach 

      Solstad B.E., Stenling A., Ommundsen Y., Wold B., Heuzé J.-P., Sarrazin P., Castillo I., Cruz J., Hall H., Papaioannou A., Duda J.L. (2020)
      The present study examined the psychometric properties of the coach-adapted version of the Empowering and Disempowering Motivational Climate Questionnaire (EDMCQ) using Bayesian structural equation modelling (BSEM). The ...

    • A large-scale genetic association study to evaluate the contribution of Omi/HtrA2 (PARK13) to Parkinson's disease 

      Krüger, R.; Sharma, M.; Riess, O.; Gasser, T.; Van Broeckhoven, C.; Theuns, J.; Aasly, J.; Annesi, G.; Bentivoglio, A. R.; Brice, A.; Djarmati, A.; Elbaz, A.; Farrer, M.; Ferrarese, C.; Gibson, J. M.; Hadjigeorgiou, G. M.; Hattori, N.; Ioannidis, J. P. A.; Jasinska-Myga, B.; Klein, C.; Lambert, J. C.; Lesage, S.; Lin, J. J.; Lynch, T.; Mellick, G. D.; de Nigris, F.; Opala, G.; Prigione, A.; Quattrone, A.; Ross, O. A.; Satake, W.; Silburn, P. A.; Tan, E. K.; Toda, T.; Tomiyama, H.; Wirdefeldt, K.; Wszolek, Z.; Xiromerisiou, G.; Maraganore, D. M. (2011)
      High-profile studies have provided conflicting results regarding the involvement of the Omi/HtrA2 gene in Parkinson's disease (PD) susceptibility. Therefore, we performed a large-scale analysis of the association of common ...

    • Methods of analysis and meta-analysis for identifying differentially expressed genes 

      Kontou P.I., Pavlopoulou A., Bagos P.G. (2018)
      Microarray approaches are widely used high-throughput techniques to assess simultaneously the expression of thousands of genes under certain conditions and study the effects of certain treatments, diseases, and developmental ...

    • Optimal allocation of limited test resources for the quantification of COVID-19 infections 

      Chatzimanolakis M., Weber P., Arampatzis G., Wälchli D., Kičić I., Karnakov P., Papadimitriou C., Koumoutsakos P. (2020)
      The systematic identification of infected individuals is critical for the containment of the COVID-19 pandemic. Currently, the spread of the disease is mostly quantified by the reported numbers of infections, hospitalisations, ...

    • Polymorphic variability in the exon 19 of the RB1 gene and its flanking intronic sequences in HPV16-associated precancerous lesions in the Greek population 

      Tsakogiannis D., Moschonas G.D., Daskou M., Stylianidou Z., Kyriakopoulou Z., Kottaridi C., Dimitriou T.G., Gartzonika C., Markoulatos P. (2018)
      Purpose. The tumour suppressor protein RB plays a decisive role in negative control of the cell cycle, inhibiting tumour development. The present analysis investigated the prevalence of the nucleotide polymorphism A153104G, ...

    • Predictors of school students’ leisure-time physical activity: An extended trans-contextual model using Bayesian path analysis 

      Polet J., Schneider J., Hassandra M., Lintunen T., Laukkanen A., Hankonen N., Hirvensalo M., Tammelin T.H., Hamilton K., Hagger M.S. (2021)
      The present study aimed to examine effects of motivational and social cognition constructs on children’s leisure-time physical activity participation alongside constructs representing implicit processes using an extended ...

    • Reporting guidelines for diagnostic accuracy studies that use Bayesian latent class models (STARD-BLCM) 

      Kostoulas P., Nielsen S.S., Branscum A.J., Johnson W.O., Dendukuri N., Dhand N.K., Toft N., Gardner I.A. (2017)
      [No abstract available]

    • Risk factors and true prevalence of bovine tuberculosis in Bangladesh 

      Islam M.N., Khan M.K., Khan M.F.R., Kostoulas P., Anisur Rahman A.K.M., Alam M.M. (2021)
      Bovine tuberculosis (bTb) is endemic in Bangladesh but the true prevalence has not yet been reported. Our objectives for this study were to determine the true prevalence and identify risk factors for bTb at the animal- and ...

    • Spatio-temporal modelling of foot-and-mouth disease outbreaks 

      Malesios C., Demiris N., Kostoulas P., Dadousis K., Koutroumanidis T., Abas Z. (2016)
      We present and analyse data collected during a severe epidemic of foot-and-mouth disease (FMD) that occurred between July and September 2000 in a region of northeastern Greece with strategic importance since it represents ...

    • STARD-BLCM: Standards for the Reporting of Diagnostic accuracy studies that use Bayesian Latent Class Models 

      Kostoulas P., Nielsen S.S., Branscum A.J., Johnson W.O., Dendukuri N., Dhand N.K., Toft N., Gardner I.A. (2017)
      The Standards for the Reporting of Diagnostic Accuracy (STARD) statement, which was recently updated to the STARD2015 statement, was developed to encourage complete and transparent reporting of test accuracy studies. ...

    • |tPRiors |: a tool for prior elicitation and obtaining posterior distributions of true disease prevalence 

      Pateras K., Kostoulas P. (2022)
      Background: Tests have false positive or false negative results, which, if not properly accounted for, may provide misleading apparent prevalence estimates based on the observed rate of positive tests and not the true ...

    • Tracking the global dispersal of a cosmopolitan insect pest, the peach potato aphid 

      Margaritopoulos, J. T.; Kasprowicz, L.; Malloch, G. L.; Fenton, B. (2009)
      Background. Global commerce and human transportation are responsible for the range expansion of various insect pests such as the plant sucking aphids. High resolution DNA markers provide the opportunity to examine the ...

    • Updating robust reliability using structural test data 

      Papadimitriou, C.; Beck, J. L.; Katafygiotis, L. S. (2001)
      The concept of robust reliability is defined to take into account uncertainties from structural modeling in addition to the uncertain excitation that a structure will experience during its lifetime. A Bayesian probabilistic ...

    • Using Bayesian hierarchical modelling to capture cyanobacteria dynamics in Northern European lakes 

      Mellios N.K., Moe S.J., Laspidou C. (2020)
      Cyanobacteria blooms in lakes and reservoirs currently threaten water security and affect the ecosystem services provided by these freshwater ecosystems, such as drinking water and recreational use. Climate change is ...

    • Using Combined Diagnostic Test Results to Hindcast Trends of Infection from Cross-Sectional Data 

      Rydevik G., Innocent G.T., Marion G., Davidson R.S., White P.C.L., Billinis C., Barrow P., Mertens P.P.C., Gavier-Widén D., Hutchings M.R. (2016)
      Infectious disease surveillance is key to limiting the consequences from infectious pathogens and maintaining animal and public health. Following the detection of a disease outbreak, a response in proportion to the severity ...

    • Wavelet-based signal analysis for heart failure hospitalization prediction 

      Iakovidis D.K., Douska D., Barba E., Koulaouzidis G. (2016)
      Heart failure (HF) is commonly a chronic condition associated with frequent hospital admissions. Early knowledge about a possible deterioration of this condition would enable early treatment for the prevention of adverse ...