Εμφανίζονται 1 - 13 Αποτελέσματα από 13 για την αναζήτηση '"ГИПОТЕЗА ИССЛЕДОВАНИЯ"', χρόνος αναζήτησης: 0,71δλ Περιορισμός αποτελεσμάτων
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    Academic Journal

    Συνεισφορές: The study reported in this publication was carried out as part of publicly funded research project No. 056-00026-24-00 and was supported by the Scientific Centre for Expert Evaluation of Medicinal Products (R&D public accounting No. 124022300127-0)., Работа выполнена в рамках государственного задания ФГБУ «НЦЭСМП» Минздрава России № 056-00026-24-00 на проведение прикладных научных исследований (номер государственного учета НИР № 124022300127-0).

    Πηγή: Regulatory Research and Medicine Evaluation; Том 14, № 3 (2024); 338-350 ; Регуляторные исследования и экспертиза лекарственных средств; Том 14, № 3 (2024); 338-350 ; 3034-3453 ; 3034-3062 ; 10.30895/1991-2919-2024-14-3

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Statistical power and analytical quantification. J Chromatogr B Analyt Technol Biomed Life Sci. 2007;847(2):305–8. https://doi.org/10.1016/j.jchromb.2006.10.002; Eng J. Sample size estimation: how many individuals should be studied? Radiology. 2003;227(2):309–13. https://doi.org/10.1148/radiol.2272012051; Cohen J. Statistical power analysis for the behavioral sciences. New York: Routledge; 1988. https://doi.org/10.4324/9780203771587; Lenth RV. Some practical guidelines for effective sample size determination. Am Stat. 2001;55(3):187–93. https://doi.org/10.1198/000313001317098149; Dubey SD. Some thoughts on the one-sided and two-sided tests. J Biopharm Stat. 1991;1(1):139–50. https://doi.org/10.1080/10543409108835011; Bland JM, Altman DG. One and two sided tests of significance. BMJ. 1994;309(6949):248. https://doi.org/10.1136/bmj.309.6949.248; Matthews JN. Introduction to randomized controlled clinical trials. New York: Chapman & Hall; 2006. https://doi.org/10.1201/9781420011302; Lehr R. Sixteen S-squared over D-squared: a relation for crude sample size estimates. Stat Med. 1992;11(8):1099–102. https://doi.org/10.1002/sim.4780110811; Machin D, Campbell MJ. Statistical tables for the design of clinical trials. Blackwell Scientific Publications; 1995. https://doi.org/10.1002/sim.4780071211; Pocock SJ. Clinical trials: a practical approach. Wiley & Sons; 2013. https://doi.org/10.1002/9781118793916; Armitage P, Berry G. Statistical methods in medical research. Oxford: Blackwell Scientific Publications; 2002. https://doi.org/10.1002/9780470773666; Fleiss JL. General design issues in efficacy, equivalency and superiority trials. J Periodontal Res. 1992;27(4 Pt 2):306–13. https://doi.org/10.1111/j.1600-0765.1992.tb01684.x; Christensen Е. Methodology of superiority vs. equivalence trials and non-inferiority trials. J Hepatol. 2007;46(5):947–54. https://doi.org/10.1016/j.jhep.2007.02.015; Garrett AD. Therapeutic equivalence: fallacies and falsification. Stat Med. 2003;22(5):741–62. https://doi.org/10.1002/sim.1360; Blackwelder WC. “Proving the null hypothesis” in clinical trials. Control Clin Trials. 1982;3(4):345–53. https://doi.org/10.1016/0197-2456(82)90024-1; Greene WL, Concato J, Feinstein AR. Claims of equivalence in medical research: are they supported by the evidence? Ann Intern Med. 2000;132(9):715–22. https://doi.org/10.7326/0003-4819-132-9-200005020-00006; Costa LJ, Xavier AC, Giglio A. Negative results in cancer clinical trials — equivalence or poor accrual? Control Clin Trials. 2004;25(5):525–33. https://doi.org/10.1016/j.cct.2004.08.001; Dimick JB, Diener-West M, Lipsett PA. Negative results of randomized clinical trials published in the surgical literature: equivalency or error? Arch Surg. 2001;136(7):796–800. https://doi.org/10.1001/archsurg.136.7.796; Detsky AS, Sackett DL. When was a “negative” clinical trial big enough? How many patients you needed depends on what you found. Arch Intern Med. 1985;145(4):709–12. https://doi.org/10.1001/archinte.1985.00360040141030; Djulbegovic B, Clarke M. Scientific and ethical issues in equivalence trials. JAMA. 2001;285(9):1206–8. https://doi.org/10.1001/jama.285.9.1206; Jones B, Jarvis P, Lewis JA, Ebbutt AF. Trials to assess equivalence: the importance of rigorous methods. BMJ. 1996;313(7048):36–9. https://doi.org/10.1136/bmj.313.7048.36; Lange S, Freitag G. Choice of delta: requirements and reality — results of a systematic review. Biomed J. 2005;47(1):12–27. https://doi.org/10.1002/bimj.200410085; Durrleman S, Simon R. Planning and monitoring of equivalence studies. Biometrics. 1990;46(2):329–36. https://doi.org/10.2307/2531438; Ebbutt AF, Frith L. Practical issues in equivalence trials. Stat Med. 1998;17(15–16):1691–701. https://doi.org/10.1002/(sici)1097-0258(19980815/30)17:15/16%3C1691::aid-sim971%3E3.0.co;2-j; Wiens BL. Choosing an equivalence limit for noninferiority or equivalence studies. Control Clin Trials. 2002;23(1):2–14. https://doi.org/10.1016/s0197-2456(01)00196-9; Chan A-W, Hróbjartsson A, Haahr MT, Gøtzsche PC, Altman DG. Empirical evidence for selective reporting of outcomes in randomized trials: comparison of protocols to published articles. JAMA. 2004;291(20):2457–65. https://doi.org/10.1001/jama.291.20.2457; Thomas L, Krebs CJ. A Review of statistical power analysis software. Bull Ecol Soc Am. 1997;78(2):128–39.; Lindley DV. The choice of sample size. Statistician. 1997;46(2):129–38. https://doi.org/10.1111/1467-9884.00068; Lindley DV. A statistical paradox. Biometrika. 1957;44(1/2):187–92. https://doi.org/10.2307/2333251; Gittins J, Pezeshk H. A behavioral Bayes method for determining the size of a clinical trial. Drug Inf J. 2000;34(2):355–63. https://doi.org/10.1177/009286150003400204; Gittins J, Pezeshk H. How large should a clinical trial be? J R Stat Soc Series D Stat. 2000;49(2):177–87. https://doi.org/10.1111/1467-9884.00228; O’Hagan A, Stevens JW, Campbell MJ. Assurance in clinical trial design. Pharm Stat. 2005;4(3):187–201. https://doi.org/10.1002/pst.175; Шредер ОВ, Бунятян НД, Горячев ДВ, Сюбаев РД, Енгалычева ГН, Кузнецова АД, Косенко ВВ. Математическое прогнозирование эффективности лекарственных средств в доклинических исследованиях. Ведомости Научного центра экспертизы средств медицинского применения. Регуляторные исследования и экспертиза лекарственных средств. 2022;12(3):315–30. https://doi.org/10.30895/1991-2919-2022-12-3-315-330; Каркищенко НН. Альтернативы биомедицины. Т. 1. Основы биомедицины и фармакомоделирования. М.: Межакадемическое издательство ВПК; 2007. EDN: SOPUYN; Senn S. Determining the sample size. In: Statistical issues in drug development. John Wiley & Sons; 2007. https://doi.org/10.1002/9781119238614.ch13; Julious SA. Designing clinical trials with uncertain estimates of variability. Pharm Stat. 2004;3(4):261–8. https://doi.org/10.1002/pst.139; https://www.vedomostincesmp.ru/jour/article/view/599

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    Academic Journal

    Συνεισφορές: Российский научный фонд

    Πηγή: The Education and science journal; № 5 (2015); 4-14 ; EDUCACIÓN Y CIENCIA; № 5 (2015); 4-14 ; Образование и наука; № 5 (2015); 4-14 ; 2310-5828 ; 1994-5639 ; 10.17853/1994-5639-2015-5

    Περιγραφή αρχείου: application/pdf

    Relation: https://www.edscience.ru/jour/article/view/413/397; Загвязинский В. И., Атаханов Р. Методология и методы психолого-педагогического исследования. Москва: Академия, 2008.; Загвязинский В. И. Исследовательская деятельность педагога. Москва: Академия, 2006.; Краевский В. В., Бережнова Е. В. Методология педагогики. Новый этап. Москва, 2006.; Новиков А. М. Как работать над диссертацией: пособие для начинающего педагога-исследователя. Москва, 2003.; Закирова А. Ф. Выдвижение гипотезы в научном исследовании по проблемам образования // Разработка концепции педагогического исследования: содержание, логика, механизмы научного творчества. Тюмень, 2014.; Сычкова Н. В. Формирование у будущих учителей умений исследовательской деятельности в условиях классического университета: автореф. дис. … д-ра пед. наук. Магнитогорск, 2002. С. 36.; https://www.edscience.ru/jour/article/view/413

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    Electronic Resource