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Das ABC der medizinischen Statistik

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Das ABC der medizinischen Statistik. / Labenz, J.; Kunz, Cornelia U.
In: Der Urologe. A, Vol. 50, No. 2, 02.2011, p. 233-243; quiz 244.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Labenz, J & Kunz, CU 2011, 'Das ABC der medizinischen Statistik', Der Urologe. A, vol. 50, no. 2, pp. 233-243; quiz 244. https://doi.org/10.1007/s00120-011-2516-8

APA

Labenz, J., & Kunz, C. U. (2011). Das ABC der medizinischen Statistik. Der Urologe. A, 50(2), 233-243; quiz 244. https://doi.org/10.1007/s00120-011-2516-8

Vancouver

Labenz J, Kunz CU. Das ABC der medizinischen Statistik. Der Urologe. A. 2011 Feb;50(2):233-243; quiz 244. doi: 10.1007/s00120-011-2516-8

Author

Labenz, J. ; Kunz, Cornelia U. / Das ABC der medizinischen Statistik. In: Der Urologe. A. 2011 ; Vol. 50, No. 2. pp. 233-243; quiz 244.

Bibtex

@article{bc35ffe2f77c4fa58484dd70433708fb,
title = "Das ABC der medizinischen Statistik",
abstract = "Clinical trials test hypotheses that are accepted or rejected according to a predetermined probability of error (level of significance). Significance does not however mean relevance. Good parameters of relevance are absolute risk reduction and based on this the calculation of the number of patients who need to be treated for one additional patient to benefit. The randomized controlled trial is the gold standard for comparative evaluation of effects. In the ideal scenario it is designed so that a difference established by statistical methods becomes probable. In non-inferiority studies care should be taken that no equivalence is shown but rather that the difference is not greater than a predefined margin of error for differences. Meta-analyses of studies with similar endpoints have the potential to improve the level of evidence. Since the findings of meta-analyses depend on the studies included, critical assessment of the results is essential.",
keywords = "Clinical Trials as Topic, Computer Simulation, Data Interpretation, Statistical, Epidemiologic Methods, Models, Statistical",
author = "J. Labenz and Kunz, {Cornelia U.}",
year = "2011",
month = feb,
doi = "10.1007/s00120-011-2516-8",
language = "German",
volume = "50",
pages = "233--243; quiz 244",
journal = "Der Urologe. A",
issn = "1433-0563",
publisher = "Springer Verlag",
number = "2",

}

RIS

TY - JOUR

T1 - Das ABC der medizinischen Statistik

AU - Labenz, J.

AU - Kunz, Cornelia U.

PY - 2011/2

Y1 - 2011/2

N2 - Clinical trials test hypotheses that are accepted or rejected according to a predetermined probability of error (level of significance). Significance does not however mean relevance. Good parameters of relevance are absolute risk reduction and based on this the calculation of the number of patients who need to be treated for one additional patient to benefit. The randomized controlled trial is the gold standard for comparative evaluation of effects. In the ideal scenario it is designed so that a difference established by statistical methods becomes probable. In non-inferiority studies care should be taken that no equivalence is shown but rather that the difference is not greater than a predefined margin of error for differences. Meta-analyses of studies with similar endpoints have the potential to improve the level of evidence. Since the findings of meta-analyses depend on the studies included, critical assessment of the results is essential.

AB - Clinical trials test hypotheses that are accepted or rejected according to a predetermined probability of error (level of significance). Significance does not however mean relevance. Good parameters of relevance are absolute risk reduction and based on this the calculation of the number of patients who need to be treated for one additional patient to benefit. The randomized controlled trial is the gold standard for comparative evaluation of effects. In the ideal scenario it is designed so that a difference established by statistical methods becomes probable. In non-inferiority studies care should be taken that no equivalence is shown but rather that the difference is not greater than a predefined margin of error for differences. Meta-analyses of studies with similar endpoints have the potential to improve the level of evidence. Since the findings of meta-analyses depend on the studies included, critical assessment of the results is essential.

KW - Clinical Trials as Topic

KW - Computer Simulation

KW - Data Interpretation, Statistical

KW - Epidemiologic Methods

KW - Models, Statistical

U2 - 10.1007/s00120-011-2516-8

DO - 10.1007/s00120-011-2516-8

M3 - Journal article

C2 - 21312087

VL - 50

SP - 233-243; quiz 244

JO - Der Urologe. A

JF - Der Urologe. A

SN - 1433-0563

IS - 2

ER -