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Wyszukujesz frazę ""Models, Statistical"" wg kryterium: Temat


Tytuł :
Temporal Dynamics of Wheat Blast Epidemics and Disease Measurements Using Multispectral Imagery.
Autorzy :
Gongora-Canul C; Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN 47907, U.S.A.
Salgado JD; Department of Plant Pathology, The Ohio State University, Wooster, OH 44691, U.S.A.
Singh D; Department of Plant Pathology, Kansas State University, Manhattan, KS 66506, U.S.A.
Cruz AP; Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN 47907, U.S.A.
Cotrozzi L; Department of Agriculture, Food and Environment, University of Pisa, Italy.
Couture J; Departments of Entomology and Forestry and Natural Resources and Center for Plant Biology, Purdue University, 901 W. State St., West Lafayette, IN 47907, U.S.A.
Rivadeneira MG; Centro de Investigación Agrícola Tropical, Estación Experimental Agrícola de Saavedra-EEAS, Santa Cruz, Bolivia.
Cruppe G; Department of Plant Pathology, Kansas State University, Manhattan, KS 66506, U.S.A.
Valent B; Department of Plant Pathology, Kansas State University, Manhattan, KS 66506, U.S.A.
Todd T; Department of Plant Pathology, Kansas State University, Manhattan, KS 66506, U.S.A.
Poland J; Department of Plant Pathology, Kansas State University, Manhattan, KS 66506, U.S.A.
Cruz CD; Department of Botany and Plant Pathology, Purdue University, West Lafayette, IN 47907, U.S.A.
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Źródło :
Phytopathology [Phytopathology] 2020 Feb; Vol. 110 (2), pp. 393-405. Date of Electronic Publication: 2020 Jan 02.
Typ publikacji :
Journal Article
Journal Info :
Publisher: American Phytopathological Society] Country of Publication: United States NLM ID: 9427222 Publication Model: Print-Electronic Cited Medium: Print ISSN: 0031-949X (Print) Linking ISSN: 0031949X NLM ISO Abbreviation: Phytopathology Subsets: MEDLINE
MeSH Terms :
Magnaporthe*/physiology
Models, Statistical*
Optical Imaging*
Triticum*/microbiology
Bolivia ; Plant Diseases/microbiology ; Time Factors
Czasopismo naukowe
Tytuł :
Postmortem submersion interval in human bodies recovered from fresh water in an area of Mediterranean climate. Application and comparison of preexisting models.
Autorzy :
Palazzo C; DIMEC, University of Bologna, Department of Medical and Surgical Sciences, 40126 Bologna, Italy.
Pelletti G; DIMEC, University of Bologna, Department of Medical and Surgical Sciences, 40126 Bologna, Italy.
Fais P; DIMEC, University of Bologna, Department of Medical and Surgical Sciences, 40126 Bologna, Italy. Electronic address: .
Boscolo-Berto R; Institute of Human Anatomy, Department of Neurosciences, University of Padova, Padova, Italy.
Fersini F; DIMEC, University of Bologna, Department of Medical and Surgical Sciences, 40126 Bologna, Italy.
Gaudio RM; Legal Medicine, Department of Medical Sciences University of Ferrara, Italy.
Pelotti S; DIMEC, University of Bologna, Department of Medical and Surgical Sciences, 40126 Bologna, Italy.
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Źródło :
Forensic Science International [Forensic Sci Int] 2020 Jan; Vol. 306, pp. 110051. Date of Electronic Publication: 2019 Nov 09.
Typ publikacji :
Comparative Study; Journal Article
Journal Info :
Publisher: Elsevier Science Ireland Country of Publication: Ireland NLM ID: 7902034 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-6283 (Electronic) Linking ISSN: 03790738 NLM ISO Abbreviation: Forensic Sci. Int. Subsets: MEDLINE
MeSH Terms :
Cadaver*
Fresh Water*
Immersion*
Models, Statistical*
Postmortem Changes*
Adult ; Climate ; Female ; Humans ; Italy ; Male ; Retrospective Studies ; Temperature
Czasopismo naukowe
Tytuł :
Predicting the current and future distribution of three Coptis herbs in China under climate change conditions, using the MaxEnt model and chemical analysis.
Autorzy :
Li J; College of Medical Technology, State Key Laboratory of Characteristic Chinese Medicine Resources in Southwest China, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
Fan G; College of Medical Technology, State Key Laboratory of Characteristic Chinese Medicine Resources in Southwest China, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China.
He Y; College of Medical Technology, State Key Laboratory of Characteristic Chinese Medicine Resources in Southwest China, Chengdu University of Traditional Chinese Medicine, Chengdu 611137, China. Electronic address: .
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Źródło :
The Science Of The Total Environment [Sci Total Environ] 2020 Jan 01; Vol. 698, pp. 134141. Date of Electronic Publication: 2019 Sep 04.
Typ publikacji :
Journal Article
Journal Info :
Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0330500 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1026 (Electronic) Linking ISSN: 00489697 NLM ISO Abbreviation: Sci. Total Environ. Subsets: MEDLINE
MeSH Terms :
Climate Change*
Coptis*
Environmental Monitoring*
Models, Statistical*
China ; Drugs, Chinese Herbal ; Medicine, Chinese Traditional
Czasopismo naukowe
Tytuł :
A comparison of four risk models for the prediction of cardiovascular complications in patients with a history of atrial fibrillation undergoing non-cardiac surgery.
Autorzy :
McAlister FA; Alberta SPOR Support Unit, University of Alberta, Edmonton, AB, Canada.; General Internal Medicine, University of Alberta, Edmonton, AB, Canada.
Youngson E; Alberta SPOR Support Unit, University of Alberta, Edmonton, AB, Canada.
Jacka M; Critical Care Medicine, University of Alberta, Edmonton, AB, Canada.
Graham M; Cardiology, Department of Medicine, University of Alberta, Edmonton, AB, Canada.
Conen D; Population Health Research Institute, McMaster University, Hamilton, ON, Canada.
Chan M; Department of Anaesthesia and Intensive Care, Chinese University of Hong Kong, Hong Kong.
Szczeklik W; Jagiellonian University Medical College, Department of Intensive Care and Peri-operative Medicine, Kraków, Poland.
Alonso-Coello P; Iberoamerican Cochrane Center, Biomedical Research Institute Sant Pau (IIB-Sant Pau), CIBER de Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain.
Devereaux PJ; Population Health Research Institute, McMaster University, Hamilton, ON, Canada.
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Corporate Authors :
vascular events in non-cardiac surgery patIents cohort evaluation (VISION) investigators
Źródło :
Anaesthesia [Anaesthesia] 2020 Jan; Vol. 75 (1), pp. 27-36. Date of Electronic Publication: 2019 Jul 08.
Typ publikacji :
Comparative Study; Journal Article; Multicenter Study
Journal Info :
Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 0370524 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1365-2044 (Electronic) Linking ISSN: 00032409 NLM ISO Abbreviation: Anaesthesia Subsets: Core Clinical (AIM); MEDLINE
MeSH Terms :
Models, Statistical*
Surgical Procedures, Operative*
Cardiovascular Diseases/*complications
Cardiovascular Diseases/*diagnosis
Aged ; Atrial Fibrillation/complications ; Cohort Studies ; Female ; Humans ; Male ; Reproducibility of Results ; Risk Assessment ; Severity of Illness Index
Czasopismo naukowe
Tytuł :
Effect of Wind on Horizontal Displacement of Fatal Fall from a Height.
Autorzy :
Tsai WT; Department of Engineering Science and Ocean Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei, 10617, Taiwan.
Hu CI; Department of Engineering Science and Ocean Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei, 10617, Taiwan.
Chang CY; Graduate Institute of Interdisciplinary Legal Studies, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei, 10617, Taiwan.
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Źródło :
Journal Of Forensic Sciences [J Forensic Sci] 2020 Jan; Vol. 65 (1), pp. 255-258. Date of Electronic Publication: 2019 Aug 14.
Typ publikacji :
Journal Article
Journal Info :
Publisher: Blackwell Pub Country of Publication: United States NLM ID: 0375370 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1556-4029 (Electronic) Linking ISSN: 00221198 NLM ISO Abbreviation: J. Forensic Sci. Subsets: MEDLINE
MeSH Terms :
Accidental Falls*
Models, Biological*
Models, Statistical*
Wind*
Forensic Sciences/*methods
Biophysical Phenomena ; Body Height ; Body Mass Index ; Female ; Humans ; Male
Czasopismo naukowe
Tytuł :
Statistical Modeling of Distribution Patterns: A Markov Random Field Implementation and Its Application on Areas of Endemism.
Autorzy :
Salinas NR; Division of Invertebrate Zoology, American Museum of Natural History, New York City, NY 10024, USA.; Instituto de Hidrología, Meteorología y Estudios Ambientales IDEAM, Calle 25D #96B-70, Bogotá D.C., Colombia.
Wheeler WC; Division of Invertebrate Zoology, American Museum of Natural History, New York City, NY 10024, USA.
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Źródło :
Systematic Biology [Syst Biol] 2020 Jan 01; Vol. 69 (1), pp. 76-90.
Typ publikacji :
Journal Article; Research Support, Non-U.S. Gov't
Journal Info :
Publisher: Oxford University Press Country of Publication: England NLM ID: 9302532 Publication Model: Print Cited Medium: Internet ISSN: 1076-836X (Electronic) Linking ISSN: 10635157 NLM ISO Abbreviation: Syst. Biol. Subsets: MEDLINE
MeSH Terms :
Animal Distribution*
Models, Statistical*
Algorithms ; Animals ; Computer Simulation ; Markov Chains
Czasopismo naukowe
Tytuł :
Statistical learning approaches in the genetic epidemiology of complex diseases.
Autorzy :
Boulesteix AL; Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-University, Munich, Germany. .
Wright MN; Leibniz Institute for Prevention Research and Epidemiology-BIPS, Bremen, Germany.; Section of Biostatistics, Department of Public Health, University of Copenhagen, Copenhagen, Denmark.
Hoffmann S; Institute for Medical Information Processing, Biometry and Epidemiology, Ludwig-Maximilians-University, Munich, Germany.
König IR; Institute of Medical Biometry and Statistics, University of Lübeck, Lübeck, Germany.
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Źródło :
Human Genetics [Hum Genet] 2020 Jan; Vol. 139 (1), pp. 73-84. Date of Electronic Publication: 2019 May 02.
Typ publikacji :
Journal Article; Review
Journal Info :
Publisher: Springer Verlag Country of Publication: Germany NLM ID: 7613873 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1203 (Electronic) Linking ISSN: 03406717 NLM ISO Abbreviation: Hum. Genet. Subsets: MEDLINE
MeSH Terms :
Algorithms*
Machine Learning*
Models, Statistical*
Molecular Epidemiology*
Disease/*genetics
Artificial Intelligence ; Humans
Czasopismo naukowe
Tytuł :
Impact analysis of age on radiation casualty estimations for nuclear detonation scenarios.
Autorzy :
Bellman J; Applied Research Associates Inc, Arlington, VA, USA.
Wilkinson E; Applied Research Associates Inc, Arlington, VA, USA.
Dant T; Applied Research Associates Inc, Arlington, VA, USA.
Thurman A; Applied Research Associates Inc, Arlington, VA, USA.
Stricklin D; Applied Research Associates Inc, Arlington, VA, USA.
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Źródło :
International Journal Of Radiation Biology [Int J Radiat Biol] 2020 Jan; Vol. 96 (1), pp. 12-21. Date of Electronic Publication: 2018 Oct 29.
Typ publikacji :
Journal Article; Research Support, U.S. Gov't, Non-P.H.S.
Journal Info :
Publisher: Taylor & Francis Country of Publication: England NLM ID: 8809243 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1362-3095 (Electronic) Linking ISSN: 09553002 NLM ISO Abbreviation: Int. J. Radiat. Biol. Subsets: MEDLINE; Space Life Sciences
MeSH Terms :
Models, Statistical*
Nuclear Weapons*
Radiation Exposure*
Mass Casualty Incidents/*statistics & numerical data
Adult ; Age Factors ; Aged ; Child ; Child, Preschool ; Civil Defense ; Female ; Humans ; Infant ; Infant, Newborn ; Male ; Middle Aged ; Radiation Dosage ; Young Adult
Czasopismo naukowe
Tytuł :
OPENMENDEL: a cooperative programming project for statistical genetics.
Autorzy :
Zhou H; Department of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, USA. .
Sinsheimer JS; Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, USA. .
Bates DM; Department of Statistics, University of Wisconsin, Madison, USA.
Chu BB; Department of Biomathematics, David Geffen School of Medicine at UCLA, Los Angeles, USA.
German CA; Department of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, USA.
Ji SS; Department of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, USA.
Keys KL; Department of Medicine, University of California, San Francisco, USA.
Kim J; Department of Biostatistics, UCLA Fielding School of Public Health, Los Angeles, USA.
Ko S; Department of Statistics, Seoul National University, Seoul, South Korea.
Mosher GD; Departments of Statistics and Computer Science, University of California, Riverside, USA.
Papp JC; Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, USA.
Sobel EM; Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, USA.
Zhai J; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, USA.
Zhou JJ; Department of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, USA.
Lange K; Department of Biomathematics, David Geffen School of Medicine at UCLA, Los Angeles, USA. .
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Źródło :
Human Genetics [Hum Genet] 2020 Jan; Vol. 139 (1), pp. 61-71. Date of Electronic Publication: 2019 Mar 26.
Typ publikacji :
Journal Article; Review
Journal Info :
Publisher: Springer Verlag Country of Publication: Germany NLM ID: 7613873 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1203 (Electronic) Linking ISSN: 03406717 NLM ISO Abbreviation: Hum. Genet. Subsets: MEDLINE
MeSH Terms :
Genome, Human*
Genome-Wide Association Study*
Models, Statistical*
Programming Languages*
Computational Biology/*methods
Algorithms ; Humans ; Polymorphism, Single Nucleotide ; Software
Czasopismo naukowe
Tytuł :
A space-time geostatistical model for probabilistic estimation of harmful algal bloom biomass and areal extent.
Autorzy :
Fang S; Department of Civil, Construction, & Environmental Engineering, North Carolina State University, Campus Box 7908, Raleigh, NC 27695, USA. Electronic address: .
Del Giudice D; Department of Civil, Construction, & Environmental Engineering, North Carolina State University, Campus Box 7908, Raleigh, NC 27695, USA.
Scavia D; School for Environment and Sustainability, University of Michigan, 440 Church St., Ann Arbor, MI 48104, USA.
Binding CE; Water Science and Technology Directorate, Environment and Climate Change Canada, 867 Lakeshore Rd, Burlington, Ontario L7S 1A1, Canada.
Bridgeman TB; Department of Environmental Sciences and Lake Erie Center, University of Toledo, 6200 Bayshore Drive, Oregon, OH 43616, USA.
Chaffin JD; F. T. Stone Laboratory and Ohio Sea Grant, The Ohio State University, 878 Bayview Ave, Put-in-Bay, OH 43456, USA.
Evans MA; U.S. Geological Survey, Great Lakes Science Center, 1451 Green Rd, Ann Arbor, MI 48105, USA.
Guinness J; Department of Statistics and Data Science, Cornell University, 1178 Comstock Hall, Ithaca, NY 14853, USA.
Johengen TH; Cooperative Institute for Great Lakes Research (CIGLR), University of Michigan, 4840 South State Road, Ann Arbor, MI 48108, USA.
Obenour DR; Department of Civil, Construction, & Environmental Engineering, North Carolina State University, Campus Box 7908, Raleigh, NC 27695, USA; Center for Geospatial Analytics, North Carolina State University, Campus Box 7106, Raleigh, NC 27695, USA.
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Źródło :
The Science Of The Total Environment [Sci Total Environ] 2019 Dec 10; Vol. 695, pp. 133776. Date of Electronic Publication: 2019 Aug 08.
Typ publikacji :
Journal Article
Journal Info :
Publisher: Elsevier Country of Publication: Netherlands NLM ID: 0330500 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-1026 (Electronic) Linking ISSN: 00489697 NLM ISO Abbreviation: Sci. Total Environ. Subsets: MEDLINE
MeSH Terms :
Harmful Algal Bloom*
Models, Statistical*
Environmental Monitoring/*methods
Water Pollution/*statistics & numerical data
Czasopismo naukowe
Tytuł :
A hybrid model for evaluating exposure of the general population in Israel to air pollutants.
Autorzy :
Levy I; Division of Air Quality and Climate Change, Ministry of Environmental Protection, 125 Menachem Begin Road, 61071, Tel Aviv, Israel.
Karakis I; Public Health Services, Ministry of Health, 39 Yirmiyahu Street, 9446724, Jerusalem, Israel.; Ashkelon Academic College, Ashkelon, Israel.
Berman T; Public Health Services, Ministry of Health, 39 Yirmiyahu Street, 9446724, Jerusalem, Israel.; Department of Health Promotion, School of Public Health, Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Amitay M; School of Engineering, Ruppin Academic Center, Emek Hefer, Israel.; Research Center for Health Informatics, Ruppin Academic Center, Emek Hefer, Israel.
Barnett-Itzhaki Z; Public Health Services, Ministry of Health, 39 Yirmiyahu Street, 9446724, Jerusalem, Israel. .; School of Engineering, Ruppin Academic Center, Emek Hefer, Israel. .; Research Center for Health Informatics, Ruppin Academic Center, Emek Hefer, Israel. .; Bioinformatics Department, School of Life and Health Science, Jerusalem College of Technology, Jerusalem, Israel. .
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Źródło :
Environmental Monitoring And Assessment [Environ Monit Assess] 2019 Dec 03; Vol. 192 (1), pp. 4. Date of Electronic Publication: 2019 Dec 03.
Typ publikacji :
Journal Article
Journal Info :
Publisher: Springer Country of Publication: Netherlands NLM ID: 8508350 Publication Model: Electronic Cited Medium: Internet ISSN: 1573-2959 (Electronic) Linking ISSN: 01676369 NLM ISO Abbreviation: Environ Monit Assess Subsets: MEDLINE
MeSH Terms :
Models, Statistical*
Air Pollutants/*analysis
Environmental Exposure/*statistics & numerical data
Air Pollution/analysis ; Air Pollution/statistics & numerical data ; Environmental Exposure/analysis ; Environmental Monitoring ; Humans ; Israel ; Mortality, Premature ; Particulate Matter/analysis ; Time Factors
Czasopismo naukowe
Tytuł :
Modeling residual biomass from mechanized wood harvesting with data measured by forest harvester.
Autorzy :
Rodrigues CK; Programa de Pós-Graduação em Ciências Florestais, Universidade Estadual do Centro-Oeste/UNICENTRO, PR 153, Km 7, 84500-000 Irati, PR, Brazil.
Lopes ES; Programa de Pós-Graduação em Ciências Florestais, Universidade Estadual do Centro-Oeste/UNICENTRO, PR 153, Km 7, 84500-000 Irati, PR, Brazil.
Figueiredo Filho A; Programa de Pós-Graduação em Ciências Florestais, Universidade Estadual do Centro-Oeste/UNICENTRO, PR 153, Km 7, 84500-000 Irati, PR, Brazil.
Pelissari AL; Departamento de Ciências Florestais, Universidade Federal do Paraná/UFPR, Av. Prof. Lothário Meissner, 632, 80210-170 Curitiba, PR, Brazil.
Silva MKC; Programa de Pós-Graduação em Ciências Florestais, Universidade Estadual do Centro-Oeste/UNICENTRO, PR 153, Km 7, 84500-000 Irati, PR, Brazil.
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Źródło :
Anais Da Academia Brasileira De Ciencias [An Acad Bras Cienc] 2019 Dec 02; Vol. 91 (4), pp. e20190194. Date of Electronic Publication: 20191202 (Print Publication: 2019).
Typ publikacji :
Journal Article
Journal Info :
Publisher: Academia Brasileira De Ciencias Country of Publication: Brazil NLM ID: 7503280 Publication Model: eCollection Cited Medium: Internet ISSN: 1678-2690 (Electronic) Linking ISSN: 00013765 NLM ISO Abbreviation: An. Acad. Bras. Cienc. Subsets: MEDLINE
MeSH Terms :
Biomass*
Forests*
Models, Statistical*
Wood*
Forestry/*methods
Czasopismo naukowe
Tytuł :
Statistical modeling of STR capillary electrophoresis signal.
Autorzy :
Karkar S; Center for Computational and Integrative Biology, Rutgers University, Camden, 08102, NJ, USA.
Alfonse LE; Biomedical Forensic Sciences Program, Boston University School of Medicine, Boston, 02118, MA, USA.
Grgicak CM; Center for Computational and Integrative Biology, Rutgers University, Camden, 08102, NJ, USA.; Biomedical Forensic Sciences Program, Boston University School of Medicine, Boston, 02118, MA, USA.; Department of Chemistry, Rutgers University, Camden, 08102, NJ, USA.
Lun DS; Center for Computational and Integrative Biology, Rutgers University, Camden, 08102, NJ, USA. .; Department of Computer Science, Rutgers University, Camden, 08102, NJ, USA. .; Department of Plant Biology, Rutgers University, New Brunswick, 08901, NJ, USA. .
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Źródło :
BMC Bioinformatics [BMC Bioinformatics] 2019 Dec 02; Vol. 20 (Suppl 16), pp. 584. Date of Electronic Publication: 2019 Dec 02.
Typ publikacji :
Journal Article
Journal Info :
Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE
MeSH Terms :
Models, Statistical*
Electrophoresis, Capillary/*methods
Microsatellite Repeats/*genetics
Alleles ; DNA/genetics ; Humans ; Probability ; Software
Czasopismo naukowe
Tytuł :
Development and validation of prediction models for hypertension risks in rural Chinese populations.
Autorzy :
Xu F; Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Zhu J; Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Sun N; Department of Management Information Systems, Terry College of Business, University of Georgia, Athens, Georgia, USA.
Wang L; Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Xie C; Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Tang Q; Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Mao X; Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Fu X; Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
Brickell A; College of Medicine, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA.
Hao Y; People's Hospital of Zhengzhou, Zhengzhou, Henan, PR China.
Sun C; Department of Social Medicine and Health Management, College of Public Health, Zhengzhou University, Zhengzhou, Henan, PR China.
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Źródło :
Journal Of Global Health [J Glob Health] 2019 Dec; Vol. 9 (2), pp. 020601.
Typ publikacji :
Journal Article
Journal Info :
Publisher: Edinburgh University Global Health Society Country of Publication: Scotland NLM ID: 101578780 Publication Model: Print Cited Medium: Internet ISSN: 2047-2986 (Electronic) Linking ISSN: 20472978 NLM ISO Abbreviation: J Glob Health Subsets: MEDLINE
MeSH Terms :
Models, Statistical*
Hypertension/*epidemiology
Rural Population/*statistics & numerical data
Adult ; Aged ; China/epidemiology ; Female ; Humans ; Male ; Middle Aged ; Prospective Studies ; Reproducibility of Results ; Risk Assessment
Czasopismo naukowe
Tytuł :
A new framework to test parent-child and full sibling relationships with population substructure.
Autorzy :
Kooakachai M; University of Colorado Denver, Department of Mathematical & Statistical Sciences, 1201 Larimer Street, Denver, Colorado, 80204, USA; Chulalongkorn University, Department of Mathematics and Computer Science, Faculty of Science, Bangkok, 10330, Thailand. Electronic address: .
LaBerge G; Denver Police Crime Laboratory, 1371 Cherokee St. Denver, Colorado, 80204, USA; University of Colorado Anschutz Medical Center, Human Medical Genetics Program, 13001 E 17th Pl., Aurora, Colorado, 80045, USA. Electronic address: .
Santorico SA; University of Colorado Denver, Department of Mathematical & Statistical Sciences, 1201 Larimer Street, Denver, Colorado, 80204, USA; University of Colorado Anschutz Medical Center, Human Medical Genetics Program, 13001 E 17th Pl., Aurora, Colorado, 80045, USA; Department of Biostatistics and Informatics, Colorado School of Public Health, University of Colorado, Aurora, Colorado, 80045, USA; Division of Biomedical Informatics & Personalized Medicine, University of Colorado School of Medicine, Aurora, Colorado, 80045, USA. Electronic address: .
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Źródło :
Forensic Science International [Forensic Sci Int] 2019 Dec; Vol. 305, pp. 110012. Date of Electronic Publication: 2019 Oct 25.
Typ publikacji :
Journal Article
Journal Info :
Publisher: Elsevier Science Ireland Country of Publication: Ireland NLM ID: 7902034 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-6283 (Electronic) Linking ISSN: 03790738 NLM ISO Abbreviation: Forensic Sci. Int. Subsets: MEDLINE
MeSH Terms :
DNA Fingerprinting*
Models, Statistical*
Parents*
Pedigree*
Siblings*
Continental Population Groups/genetics ; Forensic Genetics ; Gene Frequency ; Genotype ; Humans ; Models, Genetic
Czasopismo naukowe
Tytuł :
Evaluation of geostatistical techniques and their hybrid in modelling of groundwater quality index in the Marand Plain in Iran.
Autorzy :
Rostami AA; Department of Water Engineering, University of Tabriz, Tabriz, Iran.
Isazadeh M; Department of Water Engineering, University of Tabriz, Tabriz, Iran. .
Shahabi M; Department of Soil Science, University of Tabriz, Tabriz, Iran.
Nozari H; Department of Water Engineering, Bu-Ali Sina University, Hamedan, Iran.
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Źródło :
Environmental Science And Pollution Research International [Environ Sci Pollut Res Int] 2019 Dec; Vol. 26 (34), pp. 34993-35009. Date of Electronic Publication: 2019 Oct 29.
Typ publikacji :
Journal Article
Journal Info :
Publisher: Springer Country of Publication: Germany NLM ID: 9441769 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1614-7499 (Electronic) Linking ISSN: 09441344 NLM ISO Abbreviation: Environ Sci Pollut Res Int Subsets: MEDLINE
MeSH Terms :
Models, Statistical*
Environmental Monitoring/*methods
Water Pollution/*statistics & numerical data
Agriculture ; Drinking Water ; Groundwater/chemistry ; Iran ; Spatial Analysis ; Spatial Regression ; Water Quality/standards ; Water Supply/statistics & numerical data ; Water Wells
Czasopismo naukowe
Tytuł :
Effect heterogeneity and variable selection for standardizing causal effects to a target population.
Autorzy :
Huitfeldt A; Norwegian Institute of Public Health, Oslo, Norway. .; PharmacoEpidemiology and Drug Safety Research Group, Department of Pharmacy, and PharmaTox Strategic Initiative, Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway. .
Swanson SA; Department of Epidemiology, Erasmus MC, Rotterdam, Netherlands.; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA.
Stensrud MJ; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA.; Department of Biostatistics, University of Oslo, Oslo, Norway.
Suzuki E; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA.; Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.
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Źródło :
European Journal Of Epidemiology [Eur J Epidemiol] 2019 Dec; Vol. 34 (12), pp. 1119-1129. Date of Electronic Publication: 2019 Oct 26.
Typ publikacji :
Journal Article
Journal Info :
Publisher: Kluwer Academic Publishers Country of Publication: Netherlands NLM ID: 8508062 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1573-7284 (Electronic) Linking ISSN: 03932990 NLM ISO Abbreviation: Eur. J. Epidemiol. Subsets: MEDLINE
MeSH Terms :
Health Services Needs and Demand*
Models, Statistical*
Randomized Controlled Trials as Topic*
Reference Standards*
Humans ; Models, Theoretical ; Patient Selection
Czasopismo naukowe
Tytuł :
Development and validation of a risk stratification model for immediate microvascular breast reconstruction.
Autorzy :
Roy M; Division of Plastic and Reconstructive Surgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.; Division of Plastic and Reconstructive Surgery, Department of Surgical Oncology, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Sebastiampillai S; Division of Plastic and Reconstructive Surgery, Department of Surgical Oncology, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Haykal S; Division of Plastic and Reconstructive Surgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.; Division of Plastic and Reconstructive Surgery, Department of Surgical Oncology, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Zhong T; Division of Plastic and Reconstructive Surgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.; Division of Plastic and Reconstructive Surgery, Department of Surgical Oncology, University Health Network, University of Toronto, Toronto, Ontario, Canada.
Hofer SOP; Division of Plastic and Reconstructive Surgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.; Division of Plastic and Reconstructive Surgery, Department of Surgical Oncology, University Health Network, University of Toronto, Toronto, Ontario, Canada.
O'Neill AC; Division of Plastic and Reconstructive Surgery, Department of Surgery, University of Toronto, Toronto, Ontario, Canada.; Division of Plastic and Reconstructive Surgery, Department of Surgical Oncology, University Health Network, University of Toronto, Toronto, Ontario, Canada.
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Źródło :
Journal Of Surgical Oncology [J Surg Oncol] 2019 Dec; Vol. 120 (7), pp. 1177-1183. Date of Electronic Publication: 2019 Sep 28.
Typ publikacji :
Journal Article; Validation Study
Journal Info :
Publisher: Wiley-Liss Country of Publication: United States NLM ID: 0222643 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1096-9098 (Electronic) Linking ISSN: 00224790 NLM ISO Abbreviation: J Surg Oncol Subsets: MEDLINE
MeSH Terms :
Models, Statistical*
Breast Neoplasms/*surgery
Mammaplasty/*adverse effects
Postoperative Complications/*etiology
Risk Assessment/*methods
Breast Neoplasms/blood supply ; Breast Neoplasms/pathology ; Female ; Follow-Up Studies ; Humans ; Middle Aged ; Prognosis ; Prospective Studies ; Retrospective Studies
Czasopismo naukowe
Tytuł :
A general statistic to test an optimally weighted combination of common and/or rare variants.
Autorzy :
Zhang J; Department of Mathematics, University of North Texas, Denton, Texas.
Wu B; Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, Minnesota.
Sha Q; Department of Mathematical Sciences, Michigan Technological University, Houghton, Michigan.
Zhang S; Department of Mathematical Sciences, Michigan Technological University, Houghton, Michigan.
Wang X; Department of Mathematics, University of North Texas, Denton, Texas.
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Źródło :
Genetic Epidemiology [Genet Epidemiol] 2019 Dec; Vol. 43 (8), pp. 966-979. Date of Electronic Publication: 2019 Sep 09.
Typ publikacji :
Journal Article; Research Support, N.I.H., Extramural
Journal Info :
Publisher: Wiley-Liss Country of Publication: United States NLM ID: 8411723 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1098-2272 (Electronic) Linking ISSN: 07410395 NLM ISO Abbreviation: Genet. Epidemiol. Subsets: MEDLINE
MeSH Terms :
Genetic Variation*
Genome-Wide Association Study*
Models, Genetic*
Models, Statistical*
Computer Simulation ; High-Throughput Nucleotide Sequencing ; Humans ; Phenotype
Czasopismo naukowe
Tytuł :
Early Warning Models to Estimate the 30-Day Mortality Risk After Stent Placement for Patients with Malignant Biliary Obstruction.
Autorzy :
Zhou HF; Center of Interventional Radiology and Vascular Surgery, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao Road, Nanjing, 210009, China.
Lu J; Center of Interventional Radiology and Vascular Surgery, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao Road, Nanjing, 210009, China.
Zhu HD; Center of Interventional Radiology and Vascular Surgery, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao Road, Nanjing, 210009, China.
Guo JH; Center of Interventional Radiology and Vascular Surgery, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao Road, Nanjing, 210009, China.
Huang M; Department of Minimally Invasive Interventional Radiology, Yunnan Tumor Hospital, The Third Affiliated Hospital of Kunming Medical University, Kunming, 650106, China.
Ji JS; Department of Radiology, Lishui Central Hospital, Wenzhou Medical University, Lishui, 323000, China.
Lv WF; Department of Interventional Radiology, Anhui Provincial Hospital, The First Affiliated Hospital of University of Science and Technology of China (USTC), Hefei, 230001, China.
Li YL; Department of Interventional Medicine, The Second Hospital of Shandong University, Jinan, 250033, China.
Xu H; Department of Interventional Radiology, Affiliated Hospital of Xuzhou Medical University, Xuzhou, 221002, China.
Chen L; Center of Interventional Radiology and Vascular Surgery, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao Road, Nanjing, 210009, China.
Zhu GY; Center of Interventional Radiology and Vascular Surgery, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao Road, Nanjing, 210009, China.
Teng GJ; Center of Interventional Radiology and Vascular Surgery, Department of Radiology, Zhongda Hospital, Medical School, Southeast University, 87 Dingjiaqiao Road, Nanjing, 210009, China. .
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Źródło :
Cardiovascular And Interventional Radiology [Cardiovasc Intervent Radiol] 2019 Dec; Vol. 42 (12), pp. 1751-1759. Date of Electronic Publication: 2019 Sep 03.
Typ publikacji :
Journal Article; Multicenter Study
Journal Info :
Publisher: Springer Verlag Country of Publication: United States NLM ID: 8003538 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-086X (Electronic) Linking ISSN: 01741551 NLM ISO Abbreviation: Cardiovasc Intervent Radiol Subsets: MEDLINE
MeSH Terms :
Models, Statistical*
Stents*
Biliary Tract Neoplasms/*complications
Cholestasis/*etiology
Cholestasis/*mortality
Pancreatic Neoplasms/*complications
Aged ; Aged, 80 and over ; Biliary Tract/pathology ; Biliary Tract Neoplasms/mortality ; Cholestasis/surgery ; Female ; Humans ; Male ; Middle Aged ; Pancreatic Neoplasms/mortality ; Reproducibility of Results ; Retrospective Studies ; Risk Assessment
Czasopismo naukowe

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