Details
Originalsprache | Englisch |
---|---|
Seiten (von - bis) | 817-825 |
Seitenumfang | 9 |
Fachzeitschrift | Biometrical journal |
Jahrgang | 41 |
Ausgabenummer | 7 |
Publikationsstatus | Veröffentlicht - 9 Nov. 1999 |
Abstract
Frequently, p-values are used in reporting epidemiological trend data. Because a p-value is a confounded mixture of effect size and sample size in dichotomous data, LANG, ROTHMAN, and CANN (1998) recommended the slope of a trend line with its standard error and a graphical presentation containing the rate ratios as a function of mid-exposure levels. However, the slope contains the assumption of a dose-response function. This article discusses a proposal based on odds ratios and the corresponding one-sided lower confidence intervals for pair-wise comparisons ('exposure levels with zero exposure') as well as comparisons between incremental exposure levels. The proposed method allows both decisions on the global trend, the lowest-observed-adverse-effect-level (LOAEL) and the non-observed-adverse-effect-level (NOAEL), and a simple exploratory analysis.
ASJC Scopus Sachgebiete
- Mathematik (insg.)
- Statistik und Wahrscheinlichkeit
- Entscheidungswissenschaften (insg.)
- Statistik, Wahrscheinlichkeit und Ungewissheit
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in: Biometrical journal, Jahrgang 41, Nr. 7, 09.11.1999, S. 817-825.
Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Peer-Review
}
TY - JOUR
T1 - Trend tests in epidemiology
T2 - P-values or confidence intervals?
AU - Hothorn, Ludwig A.
PY - 1999/11/9
Y1 - 1999/11/9
N2 - Frequently, p-values are used in reporting epidemiological trend data. Because a p-value is a confounded mixture of effect size and sample size in dichotomous data, LANG, ROTHMAN, and CANN (1998) recommended the slope of a trend line with its standard error and a graphical presentation containing the rate ratios as a function of mid-exposure levels. However, the slope contains the assumption of a dose-response function. This article discusses a proposal based on odds ratios and the corresponding one-sided lower confidence intervals for pair-wise comparisons ('exposure levels with zero exposure') as well as comparisons between incremental exposure levels. The proposed method allows both decisions on the global trend, the lowest-observed-adverse-effect-level (LOAEL) and the non-observed-adverse-effect-level (NOAEL), and a simple exploratory analysis.
AB - Frequently, p-values are used in reporting epidemiological trend data. Because a p-value is a confounded mixture of effect size and sample size in dichotomous data, LANG, ROTHMAN, and CANN (1998) recommended the slope of a trend line with its standard error and a graphical presentation containing the rate ratios as a function of mid-exposure levels. However, the slope contains the assumption of a dose-response function. This article discusses a proposal based on odds ratios and the corresponding one-sided lower confidence intervals for pair-wise comparisons ('exposure levels with zero exposure') as well as comparisons between incremental exposure levels. The proposed method allows both decisions on the global trend, the lowest-observed-adverse-effect-level (LOAEL) and the non-observed-adverse-effect-level (NOAEL), and a simple exploratory analysis.
KW - Dose-response analysis
KW - Exposure study
KW - LOAEL
KW - NOAEL
KW - Trend test
UR - http://www.scopus.com/inward/record.url?scp=0033432583&partnerID=8YFLogxK
U2 - 10.1002/(sici)1521-4036(199911)41:7<817::aid-bimj817>3.3.co;2-3
DO - 10.1002/(sici)1521-4036(199911)41:7<817::aid-bimj817>3.3.co;2-3
M3 - Article
AN - SCOPUS:0033432583
VL - 41
SP - 817
EP - 825
JO - Biometrical journal
JF - Biometrical journal
SN - 0323-3847
IS - 7
ER -