Evidence map›Paper›PMID 18945366›Full record

ArticleBMC medical research methodology2008

Simple estimators of the intensity of seasonal occurrence.

M Alan Brookhart, Kenneth J Rothman

Open access · goldAbstract read
In one paragraph

Article in BMC medical research methodology, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
0.2field-weighted citation impact, top 37% of its field
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

28 citing papers in PubMed, 46 citations in OpenAlex.

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  18. Venous Thromboembolism in Denmark: Seasonality in Occurrence and Mortality.TH open : companion journal to thrombosis and haemostasis · 2019
    Article
  19. Excess Deaths Attributable to Influenza-Like Illness in the ESRD Population.Journal of the American Society of Nephrology : JASN · 2019
    Article
  20. Article
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 at 2 institutions in 1 country.

M Alan BrookhartDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital & Harvard Medical School Boston, MA, USA. mbrookhart@partners.org
Kenneth J Rothman
Brigham and Women's Hospital · USResearch Triangle Park Foundation · US

Funding

Hierarchical models of prescription drug use in the elderlyK25AG027400 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BROOKHART, MAURICE ALAN · 2006 to 2010
$653k
NIA NIH HHS AG-027400NIA NIH HHS K25 AG027400
6 · The paper itself

Abstract

backgroundEdwards's method is a widely used approach for fitting a sine curve to a time-series of monthly frequencies. From this fitted curve, estimates of the seasonal intensity of occurrence (i.e., peak-to-low ratio of the fitted curve) can be generated.

methodsWe discuss various approaches to the estimation of seasonal intensity assuming Edwards's periodic model, including maximum likelihood estimation (MLE), least squares, weighted least squares, and a new closed-form estimator based on a second-order moment statistic and non-transformed data. Through an extensive Monte Carlo simulation study, we compare the finite sample performance characteristics of the estimators discussed in this paper. Finally, all estimators and confidence interval procedures discussed are compared in a re-analysis of data on the seasonality of monocytic leukemia.

resultsWe find that Edwards's estimator is substantially biased, particularly for small numbers of events and very large or small amounts of seasonality. For the common setting of rare events and moderate seasonality, the new estimator proposed in this paper yields less finite sample bias and better mean squared error than either the MLE or weighted least squares. For large studies and strong seasonality, MLE or weighted least squares appears to be the optimal analytic method among those considered.

conclusionEdwards's estimator of the seasonal relative risk can exhibit substantial finite sample bias. The alternative estimators considered in this paper should be preferred.

Indexed as

Epidemiologic MethodsSeasonsConfidence IntervalsHumansLeast-Squares AnalysisLeukemia, Monocytic, AcuteLeukemia, MyeloidMonte Carlo Method

Identifiers

PMID18945366
PMCPMC2596789
OpenAlexW2059284898

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.