Evidence map›Paper›PMID 20209480›Full record

ArticleStatistics in medicine2010

Proportional hazards models and age-period-cohort analysis of cancer rates.

Philip S Rosenberg, William F Anderson

Abstract readComparative Study
In one paragraph

Article in Statistics in medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

41 citing papers in PubMed.

  1. Gastric cancer incidence among Hispanics in California: patterns by time, nativity, and neighborhood characteristics.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2012
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  13. Comparative age-period-cohort analysis.BMC medical research methodology · 2023
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  17. Time Trends in Ischemic Heart Disease Mortality Attributable to PMInternational journal of environmental research and public health · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Philip S RosenbergBiostatistics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Department of Health and Human Services, Rockville, MD 20852-7244, USA. rosenbep@mail.nih.gov
William F Anderson

Funding

Methods for Epidemiology StudiesZIACP010181 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI ALBERT, PAUL · 2009 to 2025
$34.8M
Methods for Epidemiology StudiesZ01CP010181 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI CHATTERJEE, NILANJAN · 2003 to 2008
$4.8M
Intramural NIH HHS Z01 CP010181Intramural NIH HHS ZIA CP010181
6 · The paper itself

Abstract

Age-period-cohort (APC) analysis is widely used in cancer epidemiology to model trends in cancer rates. We develop methods for comparative APC analysis of two independent cause-specific hazard rates assuming that an APC model holds for each one. We construct linear hypothesis tests to determine whether the two hazards are absolutely proportional or proportional after stratification by cohort, period, or age. When a given proportional hazards model appears adequate, we derive simple expressions for the relative hazards using identifiable APC parameters. To demonstrate the utility of these new methods, we analyze cancer incidence rates in the United States in blacks versus whites for selected cancers, using data from the National Cancer Institute's Surveillance, Epidemiology, and End Results Program. The examples illustrate that each type of proportionality may be encountered in practice.

Indexed as

Proportional Hazards ModelsAdultAgedAged, 80 and overAge FactorsBlack or African AmericanCohort StudiesColorectal NeoplasmsFemaleHumansIncidenceKidney NeoplasmsMaleMiddle AgedMouth NeoplasmsPancreatic Neoplasms

Identifiers

PMID20209480
PMCPMC2904510

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.