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Konfidenzintervalle und p-Werte in der Urologie: Interpretation und Fehlinterpretation

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Konfidenzintervalle und p-Werte in der Urologie: Interpretation und Fehlinterpretation. / Rink, M; Kluth, L A; Shariat, S F; Dahlem, R; Fisch, M; Dahm, P.

In: UROLOGE, Vol. 52, No. 4, 01.04.2013, p. 546-8.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Rink, M, Kluth, LA, Shariat, SF, Dahlem, R, Fisch, M & Dahm, P 2013, 'Konfidenzintervalle und p-Werte in der Urologie: Interpretation und Fehlinterpretation', UROLOGE, vol. 52, no. 4, pp. 546-8. https://doi.org/10.1007/s00120-013-3148-y

APA

Rink, M., Kluth, L. A., Shariat, S. F., Dahlem, R., Fisch, M., & Dahm, P. (2013). Konfidenzintervalle und p-Werte in der Urologie: Interpretation und Fehlinterpretation. UROLOGE, 52(4), 546-8. https://doi.org/10.1007/s00120-013-3148-y

Vancouver

Rink M, Kluth LA, Shariat SF, Dahlem R, Fisch M, Dahm P. Konfidenzintervalle und p-Werte in der Urologie: Interpretation und Fehlinterpretation. UROLOGE. 2013 Apr 1;52(4):546-8. https://doi.org/10.1007/s00120-013-3148-y

Bibtex

@article{19afe323b81b4702b029884ace1cb57f,
title = "Konfidenzintervalle und p-Werte in der Urologie: Interpretation und Fehlinterpretation",
abstract = "Confidence intervals and p-values are widely used in the urological literature to describe and interpret outcomes. However, several readers, authors and reviewers are unfamiliar with the true interpretation of these values. P-values determine statistical significance of data. Confidence intervals characterize a range of values in which the true effect size is suggested to be with a given degree of certainty. An independent but complementary interpretation of both values is important in studies with and without statistical significance. Based on a clinical case scenario this article discusses the interpretation as well as common pitfalls in interpretation of p-values and confidence intervals. An accurate assessment of these statistical cornerstones is fundamental for a correct interpretation of the urological literature and thus important aspects of evidence-based urology.",
keywords = "Confidence Intervals, Data Interpretation, Statistical, Evidence-Based Medicine, Humans, Outcome Assessment (Health Care), Treatment Outcome, Urologic Diseases",
author = "M Rink and Kluth, {L A} and Shariat, {S F} and R Dahlem and M Fisch and P Dahm",
year = "2013",
month = apr,
day = "1",
doi = "10.1007/s00120-013-3148-y",
language = "Deutsch",
volume = "52",
pages = "546--8",
journal = "UROLOGE",
issn = "0340-2592",
publisher = "Springer",
number = "4",

}

RIS

TY - JOUR

T1 - Konfidenzintervalle und p-Werte in der Urologie: Interpretation und Fehlinterpretation

AU - Rink, M

AU - Kluth, L A

AU - Shariat, S F

AU - Dahlem, R

AU - Fisch, M

AU - Dahm, P

PY - 2013/4/1

Y1 - 2013/4/1

N2 - Confidence intervals and p-values are widely used in the urological literature to describe and interpret outcomes. However, several readers, authors and reviewers are unfamiliar with the true interpretation of these values. P-values determine statistical significance of data. Confidence intervals characterize a range of values in which the true effect size is suggested to be with a given degree of certainty. An independent but complementary interpretation of both values is important in studies with and without statistical significance. Based on a clinical case scenario this article discusses the interpretation as well as common pitfalls in interpretation of p-values and confidence intervals. An accurate assessment of these statistical cornerstones is fundamental for a correct interpretation of the urological literature and thus important aspects of evidence-based urology.

AB - Confidence intervals and p-values are widely used in the urological literature to describe and interpret outcomes. However, several readers, authors and reviewers are unfamiliar with the true interpretation of these values. P-values determine statistical significance of data. Confidence intervals characterize a range of values in which the true effect size is suggested to be with a given degree of certainty. An independent but complementary interpretation of both values is important in studies with and without statistical significance. Based on a clinical case scenario this article discusses the interpretation as well as common pitfalls in interpretation of p-values and confidence intervals. An accurate assessment of these statistical cornerstones is fundamental for a correct interpretation of the urological literature and thus important aspects of evidence-based urology.

KW - Confidence Intervals

KW - Data Interpretation, Statistical

KW - Evidence-Based Medicine

KW - Humans

KW - Outcome Assessment (Health Care)

KW - Treatment Outcome

KW - Urologic Diseases

U2 - 10.1007/s00120-013-3148-y

DO - 10.1007/s00120-013-3148-y

M3 - SCORING: Zeitschriftenaufsatz

C2 - 23511856

VL - 52

SP - 546

EP - 548

JO - UROLOGE

JF - UROLOGE

SN - 0340-2592

IS - 4

ER -