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  1. 1621
    por John, Ulrich, Hanke, Monika
    Publicado 2016
    “…Methods: The vital statistics data were analyzed using a joinpoint regression analysis stratified by age and sex. …”
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    Age- and Sex-Specific Trends in Lung Cancer Mortality over 62 Years in a Nation with a Low Effort in Cancer Prevention
  2. 1622
    por Okui, Tasuku
    Publicado 2021
    “…This study aimed to identify differences in the trends of artificial and spontaneous fetal mortality rates between working and jobless households depending on ages, periods, and birth cohorts in Japan. Vital Statistics data from 1995 to 2019 and age groups in 5–year increments from 15 to 19 years through 45 to 49 years were used. …”
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    An Analysis of the Trend of Fetal Mortality Rates among Working and Jobless Households in Japan, 1995–2019
  3. 1623
    por Abbiendi, G., Ainsley, C., Akesson, P.F., Alexander, G., Allison, John, Anagnostou, G., Anderson, K.J., Arcelli, S., Asai, S., Axen, D., Azuelos, G., Bailey, I., Barberio, E., Barlow, R.J., Batley, R.J., Behnke, T., Bell, Kenneth Watson, Bell, P.J., Bella, G., Bellerive, A., Benelli, G., Bethke, S., Biebel, O., Bloodworth, I.J., Boeriu, O., Bock, P., Bohme, J., Bonacorsi, D., Boutemeur, M., Braibant, S., Brigliadori, L., Brown, Robert M., Burckhart, H.J., Cammin, J., Carnegie, R.K., Caron, B., Carter, A.A., Carter, J.R., Chang, C.Y., Charlton, David G., Clarke, P.E.L., Clay, E., Cohen, I., Couchman, J., Csilling, A., Cuffiani, M., Dado, S., Dallavalle, G.Marco, Dallison, S., De Roeck, A., De Wolf, E.A., Dervan, P., Desch, K., Dienes, B., Dixit, M.S., Donkers, M., Dubbert, J., Duchovni, E., Duckeck, G., Duerdoth, I.P., Etzion, E., Fabbri, F., Feld, L., Ferrari, P., Fiedler, F., Fleck, I., Ford, M., Frey, A., Furtjes, A., Futyan, D.I., Gagnon, P., Gary, J.W., Gaycken, G., Geich-Gimbel, C., Giacomelli, G., Giacomelli, P., Glenzinski, D., Goldberg, J., Graham, K., Gross, E., Grunhaus, J., Gruwe, M., Gunther, P.O., Gupta, A., Hajdu, C., Hamann, M., Hanson, G.G., Harder, K., Harel, A., Harin-Dirac, M., Hauschild, M., Hauschildt, J., Hawkes, C.M., Hawkings, R., Hemingway, R.J., Hensel, C., Herten, G., Heuer, R.D., Hill, J.C., Hoffman, Kara Dion, Homer, R.J., Horvath, D., Hossain, K.R., Howard, R., Huntemeyer, P., Igo-Kemenes, P., Ishii, K., Jawahery, A., Jeremie, H., Jones, C.R., Jovanovic, P., Junk, T.R., Kanaya, N., Kanzaki, J., Karapetian, G., Karlen, D., Kartvelishvili, V., Kawagoe, K., Kawamoto, T., Keeler, R.K., Kellogg, R.G., Kennedy, B.W., Kim, D.H., Klein, K., Klier, A., Kluth, S., Kobayashi, T., Kobel, M., Kokott, T.P., Komamiya, S., Kowalewski, Robert V., Kramer, T., Kress, T., Krieger, P., von Krogh, J., Krop, D., Kuhl, T., Kupper, M., Kyberd, P., Lafferty, G.D., Landsman, H., Lanske, D., Lawson, I., Layter, J.G., Leins, A., Lellouch, D., Letts, J., Levinson, L., Lillich, J., Littlewood, C., Lloyd, S.L., Loebinger, F.K., Long, G.D., Losty, M.J., Lu, J., Ludwig, J., Macchiolo, A., Macpherson, A., Mader, W., Marcellini, S., Marchant, T.E., Martin, A.J., Martin, J.P., Martinez, G., Masetti, G., Mashimo, T., Mattig, Peter, McDonald, W.J., McKenna, J., McMahon, T.J., McPherson, R.A., Meijers, F., Mendez-Lorenzo, P., Menges, W., Merritt, F.S., Mes, H., Michelini, A., Mihara, S., Mikenberg, G., Miller, D.J., Moed, S., Mohr, W., Mori, T., Mutter, A., Nagai, K., Nakamura, I., Neal, H.A., Nisius, R., O'Neale, S.W., Oh, A., Okpara, A., Oreglia, M.J., Orito, S., Pahl, C., Pasztor, G., Pater, J.R., Patrick, G.N., Pilcher, J.E., Pinfold, J., Plane, David E., Poli, B., Polok, J., Pooth, O., Quadt, A., Rabbertz, K., Rembser, C., Renkel, P., Rick, H., Rodning, N., Roney, J.M., Rosati, S., Roscoe, K., Rozen, Y., Runge, K., Rust, D.R., Sachs, K., Saeki, T., Sahr, O., Sarkisyan, E.K.G., Sbarra, C., Schaile, A.D., Schaile, O., Scharff-Hansen, P., Schroder, Matthias, Schumacher, M., Schwick, C., Scott, W.G., Seuster, R., Shears, T.G., Shen, B.C., Shepherd-Themistocleous, C.H., Sherwood, P., Skuja, A., Smith, A.M., Snow, G.A., Sobie, R., Soldner-Rembold, S., Spagnolo, S., Spano, F., Sproston, M., Stahl, A., Stephens, K., Strom, David M., Strohmer, R., Stumpf, L., Surrow, B., Tarem, S., Tasevsky, M., Taylor, R.J., Teuscher, R., Thomas, J., Thomson, M.A., Torrence, E., Toya, D., Trefzger, T., Tricoli, A., Trigger, I., Trocsanyi, Z., Tsur, E., Turner-Watson, M.F., Ueda, I., Ujvari, B., Vachon, B., Vollmer, C.F., Vannerem, P., Verzocchi, M., Voss, H., Vossebeld, J., Waller, D., Ward, C.P., Ward, D.R., Watkins, P.M., Watson, A.T., Watson, N.K., Wells, P.S., Wengler, T., Wermes, N., Wetterling, D., Wilson, G.W., Wilson, J.A., Wyatt, T.R., Yamashita, S., Zacek, V., Zer-Zion, D.
    Publicado 2001
    “…Correlations among hadrons with the same electric charge produced in Z0 decays are studied using the high statistics data collected from 1991 through 1995 with the OPAL detector at LEP. …”
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    Genuine Correlations of Like-Sign Particles in Hadronic $Z^0$ Decays
  4. 1624
    “…These include finances, regulatory submissions, continuous oversight, training of study personnel, lack of expertise in statistics, data management, and medical writing Nonetheless, doing an IIS is extremely rewarding for the investigator and has the capacity to contribute to evidence and eventually impact policy. …”
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    Investigator-initiated studies: Challenges and solutions
  5. 1625
    “…Content gaps, particularly concerning domestic waste from isolated dwellings, were filled through alternative sources of information, exploiting population density and national statistics data. The dataset is of interest for assessing waste emissions to and fate through European fresh and marine waters also beyond the three pollutants evaluated in this study.…”
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    Domestic waste emissions to European waters in the 2010s
  6. 1626
    “…Using dispersive fits to high-statistics data for the pion vector form factor, we provide an evaluation of the full pion box, a$_{μ}^{π}^{ − box}$  = − 15.9(2) × 10$^{− 11}$. …”
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    Dispersion relation for hadronic light-by-light scattering: two-pion contributions
  7. 1627
    “…Finally, serum glucose and serum and hepatic levels of MDA and TAC were measured and analyzed statistically. Data showed that green tea extract at dose of 200 mg/Kg significantly decreased the serum glucose levels, serum and hepatic MDA concentration and increased the total antioxidant capacity in diabetic rats (p < 0.05). …”
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    Green Tea (Camellia sinensis) Supplementation to Diabetic Rats Improves Serum and Hepatic Oxidative Stress Markers
  8. 1628
    “…In recent years, TB cases increased in the whole world. WHO statistics data shows that the world's annual tuberculosis incidence was 8~10 million with about 3 million deaths. …”
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    The Distribution Frequency of Interferon-Gamma Receptor 1 Gene Polymorphisms in Interferon-γ Release Assay-Positive Patients
  9. 1629
    “…We used a regression discontinuity design to assess impacts of near‐universal Medicare insurance at age 65 on cancer detection and outcomes, using population‐based cancer registries and vital statistics data. Our analysis focused on the three tumor sites for which screening is recommended both before and after age 65: breast, colorectal, and lung cancer. …”
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    Does Medicare Coverage Improve Cancer Detection and Mortality Outcomes?
  10. 1630
    “…Another unique feature is the establishment of mother-baby relationships via Florida vital statistics data. Research usage has been significant, including major studies launched in the National Patient-Centered Clinical Research Network (“PCORnet”), where OneFlorida is 1 of 9 clinical research networks. …”
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    The OneFlorida Data Trust: a centralized, translational research data infrastructure of statewide scope
  11. 1631
    “…The analysis of the datasets produced and their integration call for new algorithms and approaches from fields such as Databases, Statistics, Data Mining, Machine Learning, Optimization, Computer Science and Artificial Intelligence. …”
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    10th International Conference on Practical Applications of Computational Biology & Bioinformatics
  12. 1632
    “…The aim of the ICORS conference, which is being organized annually since 2001, is to bring together researchers interested in robust statistics, data analysis and related areas. The conference is meant for theoretical and applied statisticians, data analysts from other fields, leading experts, junior researchers and graduate students. …”
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    International Conference on Robust Statistics 2015
  13. 1633
    por Saari, Donald G
    Publicado 2019
    “…Mathematics of Finance is ideal for undergraduates from a variety of backgrounds, including mathematics, economics, statistics, data science, and computer science. Students should have experience with the standard calculus sequence, as well as a familiarity with differential equations and probability. …”
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    Mathematics of finance: an intuitive introduction
  14. 1634
    por Ouared, R M
    Publicado 2002
    “…% PS197 \\ \\The Crystal Barrel is a 4$\pi$ spectrometer designed to provide complete and precise information on practically every final state produced in $\bar{p} p $ and $\bar{p}d $ annihilations at low energy and to collect high statistics data samples. Selective triggers can be applied when necessary. \\ \\The physics goal is to identify all light mesons in the mass range from 0.14 to 2.3~GeV/c$^{2}$, to determine their quantum numbers and decay properties and to study the annihilation dynamics. …”
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    The Crystal Barrel: Meson Spectroscopy at LEAR with a 4$\pi$ Detector
  15. 1635
    por Zuniga-Gonzalez, C. A.
    Publicado 2023
    “…METHODS: The panel data was organized with FAO Statistics data. Linear programming with an enveloping data analysis (DEA) approach was used to measure the Malmquist TFP indices to determine the inter-annual productivity and technical efficiency changes by region. …”
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    TFP Bioeconomy Impact post Covid-19 on the agricultural economy
  16. 1636
    por Moro, Alberto, Lonza, Laura
    Publicado 2018
    “…In this paper updated WTW calculations are provided, relying on 2013 statistic data, for the carbon intensity (CI) of the European electricity mix; detail is provided for electricity consumed in each EU Member State (MS). …”
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    Electricity carbon intensity in European Member States: Impacts on GHG emissions of electric vehicles
  17. 1637
    por Vilinová, Katarína
    Publicado 2020
    “…The spatial patterns of breast and prostate cancer in Slovakia were examined by means of spatial autocorrelation analyses with the Local Moran’s I and Anselin Local Moran’s statistics. Data on standardized death rates of breast and prostate cancer in Slovakia between 2001 and 2018 were used. …”
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    Spatial Autocorrelation of Breast and Prostate Cancer in Slovakia
  18. 1638
    “…By comparing with available statistics data, this study finds the model deviations are well below 5%, which indicates the reliability of the proposed method and robustness of the results. …”
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    What Is the Amount of China’s Building Floor Space from 1996 to 2014?
  19. 1639
    “…We use Eurostat and national statistics data on immigration and ARIMA time-series models to quantify the impact of COVID-19 on immigration flows in 15 high-income countries by forecasting their counterfactual levels in 2020, assuming no pandemic, and comparing these estimates with observed immigration counts. …”
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    Quantifying the impact of COVID-19 on immigration in receiving high-income countries
  20. 1640
    “…In the present study, we examined this hypothesis using Mendelian randomization analysis. We used summary statistics data for single-nucleotide polymorphisms associated with plasma levels of TMAO, and the corresponding data for IBD from a genome-wide association meta-analysis of 59,957 individuals (25,042 diagnosed IBD cases, 34,915 controls). …”
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    Trimethylamine N-oxide and risk of inflammatory bowel disease: A Mendelian randomization study
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