Masarykova univerzita

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Filtrování publikací

    2023

  1. Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations
    SHERRATT, Katharine, Hugo GRUSON, Rok GRAH, Helen JOHNSON, Rene NIEHUS, Bastian PRASSE, Frank SANDMANN, Jannik DEUSCHEL, Daniel WOLFFRAM, Sam ABBOTT, Alexander ULLRICH, Graham GIBSON, Evan L RAY, Nicholas G REICH, Daniel SHELDON, Yijin WANG, Nutcha WATTANACHIT, Lijing WANG, Jan TRNKA, Guillaume OBOZINSKI, Tao SUN, Dorina THANOU, Loic POTTIER, Ekaterina KRYMOVA, Jan H MEINKE, Maria Vittoria BARBAROSSA, Neele LEITHÄUSER, Jan MOHRING, Johanna SCHNEIDER, Jaroslaw WŁAZŁO, Jan FUHRMANN, Berit LANGE, Isti RODIAH, Prasith BACCAM, Heidi GURUNG, Steven STAGE, Bradley SUCHOSKI, Jozef BUDZINSKI, Robert WALRAVEN, Inmaculada VILLANUEVA, Vit TUCEK, Martin SMID, Milan ZAJÍČEK, Cesar Pérez ÁLVAREZ, Borja REINA, Nikos I BOSSE, Sophie R MEAKIN, Lauren CASTRO, Geoffrey FAIRCHILD, Isaac MICHAUD, Dave OSTHUS, Pierfrancesco Alaimo Di LORO, Antonello MARUOTTI, Veronika ECLEROVÁ, Andrea KRAUS, David KRAUS, Lenka PŘIBYLOVÁ, Bertsimas DIMITRIS, Michael Lingzhi LI, Soni SAKSHAM, Jonas DEHNING, Sebastian MOHR, Viola PRIESEMANN, Grzegorz REDLARSKI, Benjamin BEJAR, Giovanni ARDENGHI, Nicola PAROLINI, Giovanni ZIARELLI, Wolfgang BOCK, Stefan HEYDER, Thomas HOTZ, David E SINGH, Miguel GUZMAN-MERINO, Jose L AZNARTE, David MORIÑA, Sergio ALONSO, Enric ÁLVAREZ, Daniel LÓPEZ, Clara PRATS, Jan Pablo BURGARD, Arne RODLOFF, Tom ZIMMERMANN, Alexander KUHLMANN, Janez ZIBERT, Fulvia PENNONI, Fabio DIVINO, Marti CATALÀ, Gianfranco LOVISON, Paolo GIUDICI, Barbara TARANTINO, Francesco BARTOLUCCI, Giovanna Jona LASINIO, Marco MINGIONE, Alessio FARCOMENI, Ajitesh SRIVASTAVA, Pablo MONTERO-MANSO, Aniruddha ADIGA, Benjamin HURT, Bryan LEWIS, Madhav MARATHE, Przemyslaw POREBSKI, Srinivasan VENKATRAMANAN, Rafal P BARTCZUK, Filip DREGER, Anna GAMBIN, Krzysztof GOGOLEWSKI, Magdalena GRUZIEL-SŁOMKA, Bartosz KRUPA, Antoni MOSZYŃSKI, Karol NIEDZIELEWSKI, Jedrzej NOWOSIELSKI, Maciej RADWAN, Franciszek RAKOWSKI, Marcin SEMENIUK, Ewa SZCZUREK, Jakub ZIELIŃSKI, Jan KISIELEWSKI, Barbara PABJAN, Holger KIRSTEN, Yuri KHEIFETZ, Markus SCHOLZ, Przemyslaw BIECEK, Marcin BODYCH, Maciej FILINSKI, Radoslaw IDZIKOWSKI, Tyll KRUEGER, Tomasz OZANSKI, Johannes BRACHER a Sebastian FUNK. Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations. eLife. eLife Sciences Publications Ltd, 2023. ISSN 2050-084X. doi:10.7554/eLife.81916.
    Podrobněji: https://is.muni.cz/publication/2277717/cs

    2. 2022

  2. Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
    CRAMER, EY, EL RAY, VK LOPEZ, J. BRACHER, A. BRENNEN, AJC RIVADENEIRA, A. GERDING, T. GNEITING, KH HOUSE, YX HUANG, D. JAYAWARDENA, AH KANJI, A. KHANDELWAL, K. LE, A. MUHLEMANN, J. NIEMI, A. SHAH, A. STARK, YJ WANG, N. WATTANACHIT, MW ZORN, Gu YY, S. JAIN, N. BANNUR, A. DEVA, M. KULKARNI, S. MERUGU, A. RAVAL, S. SHINGI, A. TIWARI, J. WHITE, NF ABERNETHY, S. WOODY, M. DAHAN, S. FOX, K. GAITHER, M. LACHMANN, LA MEYERS, JG SCOTT, M. TEC, A. SRIVASTAVA, GE GEORGE, JC CEGAN, ID DETTWILLER, WP ENGLAND, MW FARTHING, RH HUNTER, B. LAFFERTY, I. LINKOV, ML MAYO, MD PARNO, MA ROWLAND, BD TRUMP, Y. ZHANG-JAMES, S. CHEN, SV FARAONE, J. HESS, CP MORLEY, A. SALEKIN, DL WANG, SM CORSETTI, TM BAER, MC EISENBERG, K. FALB, YT HUANG, Martin ET, E. MCCAULEY, RL MYERS, T. SCHWARZ, D. SHELDON, GC GIBSON, R. YU, LY GAO, Y. MA, DX WU, XF YAN, XY JIN, YX WANG, YQ CHEN, LH GUO, YT ZHAO, QQ GU, JH CHEN, LX WANG, P. XU, WT ZHANG, DF ZOU, H. BIEGEL, J. LEGA, S. MCCONNELL, VP NAGRAJ, SL GUERTIN, C. HULME-LOWE, SD TURNER, YF SHI, XG BAN, R. WALRAVEN, QJ HONG, S. KONG, A. VAN DE WALLE, JA TURTLE, M. BEN-NUN, S. RILEY, P. RILEY, U. KOYLUOGLU, D. DESROCHES, P. FORLI, B. HAMORY, C. KYRIAKIDES, H. LEIS, J. MILLIKEN, M. MOLONEY, J. MORGAN, N. NIRGUDKAR, G. OZCAN, N. PIWONKA, M. RAVI, C. SCHRADER, E. SHAKHNOVICH, D. SIEGEL, R. SPATZ, C. STIEFELING, B. WILKINSON, A. WONG, S. CAVANY, G. ESPANA, S. MOORE, R. OIDTMAN, A. PERKINS, David KRAUS, Andrea KRAUS, ZF GAO, J. BIAN, W. CAO, JL FERRES, CZ LI, TY LIU, X. XIE, S. ZHANG, S. ZHENG, A. VESPIGNANI, M. CHINAZZI, JT DAVIS, K. MU, APY PIONTTI, XY XIONG, A. ZHENG, J. BAEK, V. FARIAS, A. GEORGESCU, R. LEVI, D. SINHA, J. WILDE, G. PERAKIS, MA BENNOUNA, D. NZE-NDONG, D. SINGHVI, I. SPANTIDAKIS, L. THAYAPARAN, A. TSIOURVAS, A. SARKER, A. JADBABAIE, D. SHAH, N. DELLA PENNA, LA CELI, S. SUNDAR, R. WOLFINGER, D. OSTHUS, L. CASTRO, G. FAIRCHILD, I. MICHAUD, D. KARLEN, M. KINSEY, LC MULLANY, K. RAINWATER-LOVETT, L. SHIN, K. TALLAKSEN, S. WILSON, EC LEE, J. DENT, KH GRANTZ, AL HILL, J. KAMINSKY, K. KAMINSKY, LT KEEGAN, SA LAUER, JC LEMAITRE, J. LESSLER, HR MEREDITH, J. PEREZ-SAEZ, S. SHAH, CP SMITH, SA TRUELOVE, J. WILLS, M. MARSHALL, L. GARDNER, K. NIXON, JC BURANT, L. WANG, L. GAO, Gu ZL, M. KIM, XY LI, GN WANG, YY WANG, S. YU, RC REINER, R. BARBER, E. GAKIDOU, Hay SI, S. LIM, C. MURRAY, D. PIGOTT, HL GURUNG, P. BACCAM, SA STAGE, BT SUCHOSKI, BA PRAKASH, B. ADHIKARI, JM CUI, A. RODRIGUEZ, A. TABASSUM, JJ XIE, P. KESKINOCAK, J. ASPLUND, A. BAXTER, BE ORUC, N. SERBAN, SO ARIK, M. DUSENBERRY, A. EPSHTEYN, E. KANAL, Le LT, CL LI, T. PFISTER, D. SAVA, R. SINHA, T. TSAI, N. YODER, J. YOON, LY ZHANG, S. ABBOTT, NI BOSSE, S. FUNK, J. HELLEWELL, SR MEAKIN, K. SHERRATT, MY ZHOU, R. KALANTARI, TK YAMANA, S. PEI, J. SHAMAN, ML LI, D. BERTSIMAS, OS LAMI, S. SONI, HT BOUARDI, T. AYER, M. ADEE, J. CHHATWAL, OO DALGIC, MA LADD, BP LINAS, P. MUELLER, J. XIAO, YJ WANG, QX WANG, SH XIE, DL ZENG, A. GREEN, J. BIEN, L. BROOKS, AJ HU, M. JAHJA, D. MCDONALD, B. NARASIMHAN, C. POLITSCH, S. RAJANALA, A. RUMACK, N. SIMON, RJ TIBSHIRANI, R. TIBSHIRANI, V. VENTURA, L. WASSERMAN, EB O'DEA, JM DRAKE, R. PAGANO, QT TRAN, LST HO, H. HUYNH, JW WALKER, RB SLAYTON, MA JOHANSSON, M. BIGGERSTAFF a NG REICH. Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States. Proceedings of the National Academy of Sciences of the United States of America. WASHINGTON: National Academy of Sciences, 2022, roč. 119, č. 15, s. "e2113561119", 12 s. ISSN 0027-8424. doi:10.1073/pnas.2113561119.
    Podrobněji: https://is.muni.cz/publication/1875231/cs

    3. 2021

  3. No need for secondary Pneumocystis jirovecii pneumonia prophylaxis in adult people living with HIV from Europe on ART with suppressed viraemia and a CD4 cell count greater than 100 cells/µL
    ATKINSON, Andrew, Jose M. MIRO, Amanda MOCROFT, Peter REISS, Ole KIRK, Philippe MORLAT, Jade GHOSN, Christoph STEPHAN, Cristina MUSSINI, Anastasia ANTONIADOU, Katja DOERHOLT, Enrico GIRARDI, Stéphane DE WIT, David KRAUS, Marcel ZWAHLEN a Hansjakob FURRER. No need for secondary Pneumocystis jirovecii pneumonia prophylaxis in adult people living with HIV from Europe on ART with suppressed viraemia and a CD4 cell count greater than 100 cells/µL. Journal of the International AIDS Society. John Wiley & Sons Ltd, 2021, roč. 24, č. 6, s. "e25726", 8 s. ISSN 1758-2652. doi:10.1002/jia2.25726.
    Podrobněji: https://is.muni.cz/publication/1785277/cs

    4. 2020

  4. MAMES – Monitoring, analýza a management epidemických situací: Popis algoritmizace a implementace epidemických modelů a mapování kapacit
    PAVLÍK, Tomáš, Martin KOMENDA, Lenka PŘIBYLOVÁ, Michal UHER, Ondřej MÁJEK, Andrea KRAUS, David KRAUS, Veronika HAJNOVÁ, Zdeněk POSPÍŠIL, Karel HEJDUK a Ladislav DUŠEK. MAMES – Monitoring, analýza a management epidemických situací: Popis algoritmizace a implementace epidemických modelů a mapování kapacit. Masarykova univerzita, 2020.
    Podrobněji: https://is.muni.cz/publication/1755398/cs
  5. Ridge reconstruction of partially observed functional data is asymptotically optimal
    KRAUS, David a Marco STEFANUCCI. Ridge reconstruction of partially observed functional data is asymptotically optimal. Statistics and Probability Letters. Amsterdam: Elsevier, 2020, roč. 165, OCT 2020, s. 1-5. ISSN 0167-7152. doi:10.1016/j.spl.2020.108813.
    Podrobněji: https://is.muni.cz/publication/1655218/cs

    6. 2019

  6. Classification of functional fragments by regularized linear classifiers with domain selection
    KRAUS, David a Marco STEFANUCCI. Classification of functional fragments by regularized linear classifiers with domain selection. Biometrika. Oxford: Oxford Univ Press, 2019, roč. 106, č. 1, s. 161-180. ISSN 0006-3444. doi:10.1093/biomet/asy060.
    Podrobněji: https://is.muni.cz/publication/1468976/cs
  7. Incidence of Hepatocellular Carcinoma in HIV/HBV-coinfected Patients on Tenofovir therapy: Relevance for Screening Strategies
    WANDELER, Gilles, Etienne MAURON, Andrew ATKINSON, Jean-François DUFOUR, David KRAUS, Peter REISS, Lars PETERS, François DABIS, Jan FEHR, Enos BERNASCONI, Marc van der VALK, Colette SMIT, Lars K GJÆRDE, Jürgen ROCKSTROH, Didier NEAU, Fabrice BONNET a Andri RAUCH. Incidence of Hepatocellular Carcinoma in HIV/HBV-coinfected Patients on Tenofovir therapy: Relevance for Screening Strategies. Journal of Hepatology. Amsterdam: ELSEVIER SCIENCE BV, 2019, roč. 71, č. 2, s. 274-280. ISSN 0168-8278. doi:10.1016/j.jhep.2019.03.032.
    Podrobněji: https://is.muni.cz/publication/1521336/cs
  8. Inferential procedures for partially observed functional data
    KRAUS, David. Inferential procedures for partially observed functional data. Journal of Multivariate Analysis. San Diego: Elsevier, 2019, roč. 173, September, s. 583-603. ISSN 0047-259X. doi:10.1016/j.jmva.2019.05.002.
    Podrobněji: https://is.muni.cz/publication/1534363/cs

    9. 2017

  9. Ethnicity predicts viral rebound after travel to the tropics in HIV-infected travelers to the tropics in the Swiss HIV Cohort Study
    GEBRESELASSIE, H.M., David KRAUS, C.A. FUX, S. HAUBITZ, A. SCHERRER, C. HATZ, O. VEIT, M. STOECKLE, J. FEHR, S. DE LUCIA, M. CAVASSINI, E. BERNASCONI, P. SCHMID, H. FURRER a C. STAEHELIN. Ethnicity predicts viral rebound after travel to the tropics in HIV-infected travelers to the tropics in the Swiss HIV Cohort Study. HIV MEDICINE. HOBOKEN, USA: WILEY, 2017, roč. 18, č. 8, s. 564-572. ISSN 1464-2662. doi:10.1111/hiv.12491.
    Podrobněji: https://is.muni.cz/publication/1387797/cs

    10. 2016

  10. The J-Curve in HIV: Low and Moderate Alcohol Intake Predicts Mortality but Not the Occurrence of Major Cardiovascular Events
    WANDELER, G, David KRAUS, J FEHR, A CONEN, A CALMY, C ORASCH, M BATTEGAY, P SCHMID, E BERNASCONI a H FURRER. The J-Curve in HIV: Low and Moderate Alcohol Intake Predicts Mortality but Not the Occurrence of Major Cardiovascular Events. JAIDS: Journal of Acquired Immune Deficiency Syndromes. PHILADELPHIA: LIPPINCOTT WILLIAMS & WILKINS, 2016, roč. 71, č. 3, s. 302-309. ISSN 1525-4135. doi:10.1097/QAI.0000000000000864.
    Podrobněji: https://is.muni.cz/publication/1343514/cs

    11. 2015

  11. Components and completion of partially observed functional data
    KRAUS, David. Components and completion of partially observed functional data. Journal of the Royal Statistical Society: Series B (Statistical Methodology). London: Blackwell Publishing., 2015, roč. 77, č. 4, s. 777-801. ISSN 1369-7412. doi:10.1111/rssb.12087.
    Podrobněji: https://is.muni.cz/publication/1323996/cs

    12. 2014

  12. Partially observed functional data
    KRAUS, David. Partially observed functional data. In Bongiorno, EG, Goia, A, Salinelli, E, Vieu, P. Contributions in Infinite-Dimensional Statistics and Related Topics. Bologna: Esculapio, 2014. s. 179-184. ISBN 978-88-7488-763-7.
    Podrobněji: https://is.muni.cz/publication/1331184/cs

    13. 2012

  13. Dispersion operators and resistant second-order functional data analysis
    KRAUS, David a Victor M. PANARETOS. Dispersion operators and resistant second-order functional data analysis. Biometrika. Oxford: Oxford Univ Press, 2012, roč. 99, č. 4, s. 813-832. ISSN 0006-3444. doi:10.1093/biomet/ass037.
    Podrobněji: https://is.muni.cz/publication/1323998/cs

    14. 2011

  14. Second-order inference for functional data with application to DNA minicircles
    PANARETOS, VM, David KRAUS a JH MADDOCKS. Second-order inference for functional data with application to DNA minicircles. In Frédéric Ferraty. Recent Advances in Functional Data Analysis and Related Topics. Heidelberg: Physica-Verlag/Springer, 2011. s. 245-250. ISBN 978-3-7908-2735-4. doi:10.1007/978-3-7908-2736-1_38.
    Podrobněji: https://is.muni.cz/publication/1331182/cs

    15. 2010

  15. Second-Order Comparison of Gaussian Random Functions and the Geometry of DNA Minicircles
    PANARETOS, Victor M., David KRAUS a John H. MADDOCKS. Second-Order Comparison of Gaussian Random Functions and the Geometry of DNA Minicircles. Journal of the American Statistical Association. Alexandria: Amer Statistical Assoc, 2010, roč. 105, č. 490, s. 670-682. ISSN 0162-1459. doi:10.1198/jasa.2010.tm09239.
    Podrobněji: https://is.muni.cz/publication/1324001/cs

    16. 2009

  16. Adaptive Neyman's smooth tests of homogeneity of two samples of survival data
    KRAUS, David. Adaptive Neyman's smooth tests of homogeneity of two samples of survival data. Journal of Statistical Planning and Inference. Amsterdam: Elsevier Science BV, 2009, roč. 139, č. 10, s. 3559-3569. ISSN 0378-3758. doi:10.1016/j.jspi.2009.04.009.
    Podrobněji: https://is.muni.cz/publication/1324005/cs
  17. Checking proportional rates in the two-sample transformation model
    KRAUS, David. Checking proportional rates in the two-sample transformation model. Kybernetika. Praha: Academia, 2009, roč. 45, č. 2, s. 261-278. ISSN 0023-5954.
    Podrobněji: https://is.muni.cz/publication/1324008/cs

    18. 2008

  18. Identifying nonproportional covariates in the Cox model
    KRAUS, David. Identifying nonproportional covariates in the Cox model. Communications in Statistics - Theory and Methods. Philadelphia: Marcel Dekker, 2008, roč. 37, č. 4, s. 617-625. ISSN 0361-0926. doi:10.1080/03610920701669744.
    Podrobněji: https://is.muni.cz/publication/1324009/cs

    19. 2007

  19. Data-driven smooth tests of the proportional hazards assumption
    KRAUS, David. Data-driven smooth tests of the proportional hazards assumption. Lifetime Data Analysis. Dordrecht: Springer, 2007, roč. 13, č. 1, s. 1-16. ISSN 1380-7870. doi:10.1007/s10985-006-9027-8.
    Podrobněji: https://is.muni.cz/publication/1324011/cs

    20. 2004

  20. Goodness-of-fit inference for the Cox-Aalen additive-multiplicative regression model
    KRAUS, David. Goodness-of-fit inference for the Cox-Aalen additive-multiplicative regression model. Statistics & Probability Letters. Amsterdam: Elsevier Science BV, 2004, roč. 70, č. 4, s. 285-298. ISSN 0167-7152. doi:10.1016/j.spl.2004.10.014.
    Podrobněji: https://is.muni.cz/publication/1324012/cs
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Zobrazeno: 26. 9. 2023 10:21