An asymptotically unbiased estimator of exposed versus non-exposed odds ratio from reported dose-response data.

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Abstract

Summary effect measures in meta-analysis of published epidemiological cohort or case control studies are often based on odds ratios reported for several exposure levels with varying arrangements and number of levels across primary studies. Usually only two-way contingency tables together with exposure specific adjusted odds ratios and corresponding standard errors are presented in articles. An a symptotically unbiased estimate of exposed versus non-exposed adjusted odds ratio from reported dose-response data is proposed. This estimate is based on the weighted sum of the exposure specific odds ratios, with the prevalences of the control group as weights. Large sample variance is derived accounting for the dependency between exposure specific adjusted odds ratios. The exposed versus non-exposed adjusted odds ratio could then be used in systematic reviewing.
Original languageEnglish
Pages (from-to)311-323
Number of pages13
JournalStatistical Methods in Medical Research
Volume10
DOIs
Publication statusPublished - 1 Jan 2001

Cite this

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title = "An asymptotically unbiased estimator of exposed versus non-exposed odds ratio from reported dose-response data.",
abstract = "Summary effect measures in meta-analysis of published epidemiological cohort or case control studies are often based on odds ratios reported for several exposure levels with varying arrangements and number of levels across primary studies. Usually only two-way contingency tables together with exposure specific adjusted odds ratios and corresponding standard errors are presented in articles. An a symptotically unbiased estimate of exposed versus non-exposed adjusted odds ratio from reported dose-response data is proposed. This estimate is based on the weighted sum of the exposure specific odds ratios, with the prevalences of the control group as weights. Large sample variance is derived accounting for the dependency between exposure specific adjusted odds ratios. The exposed versus non-exposed adjusted odds ratio could then be used in systematic reviewing.",
author = "E.S. Tan and M.P.A. Zeegers",
year = "2001",
month = "1",
day = "1",
doi = "10.1191/096228001680678313",
language = "English",
volume = "10",
pages = "311--323",
journal = "Statistical Methods in Medical Research",
issn = "0962-2802",
publisher = "SAGE Publications Ltd",

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An asymptotically unbiased estimator of exposed versus non-exposed odds ratio from reported dose-response data. / Tan, E.S.; Zeegers, M.P.A.

In: Statistical Methods in Medical Research, Vol. 10, 01.01.2001, p. 311-323.

Research output: Contribution to journalArticleAcademicpeer-review

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T1 - An asymptotically unbiased estimator of exposed versus non-exposed odds ratio from reported dose-response data.

AU - Tan, E.S.

AU - Zeegers, M.P.A.

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N2 - Summary effect measures in meta-analysis of published epidemiological cohort or case control studies are often based on odds ratios reported for several exposure levels with varying arrangements and number of levels across primary studies. Usually only two-way contingency tables together with exposure specific adjusted odds ratios and corresponding standard errors are presented in articles. An a symptotically unbiased estimate of exposed versus non-exposed adjusted odds ratio from reported dose-response data is proposed. This estimate is based on the weighted sum of the exposure specific odds ratios, with the prevalences of the control group as weights. Large sample variance is derived accounting for the dependency between exposure specific adjusted odds ratios. The exposed versus non-exposed adjusted odds ratio could then be used in systematic reviewing.

AB - Summary effect measures in meta-analysis of published epidemiological cohort or case control studies are often based on odds ratios reported for several exposure levels with varying arrangements and number of levels across primary studies. Usually only two-way contingency tables together with exposure specific adjusted odds ratios and corresponding standard errors are presented in articles. An a symptotically unbiased estimate of exposed versus non-exposed adjusted odds ratio from reported dose-response data is proposed. This estimate is based on the weighted sum of the exposure specific odds ratios, with the prevalences of the control group as weights. Large sample variance is derived accounting for the dependency between exposure specific adjusted odds ratios. The exposed versus non-exposed adjusted odds ratio could then be used in systematic reviewing.

U2 - 10.1191/096228001680678313

DO - 10.1191/096228001680678313

M3 - Article

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EP - 323

JO - Statistical Methods in Medical Research

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SN - 0962-2802

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