Evidence map›Paper›PMID 24300323›Full record

ArticleCanadian journal of public health = Revue canadienne de sante publique2013

Methodological issues in analyzing small populations using CCHS cycles based on the official language minority studies.

Ewa Makvandi, Louise Bouchard, Pierre-Jerôme Bergeron, Golnaz Sedigh

Abstract read
In one paragraph

Article in Canadian journal of public health = Revue canadienne de sante publique, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

4 authors.

Ewa MakvandiRRASFO, University of Ottawa. ewa.makvandi@gmail.com.
Louise Bouchard
Pierre-Jerôme Bergeron
Golnaz Sedigh

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Statistical analyses for small populations or small domains of interest can be challenging. To obtain reliable estimates, only very large surveys such as the Canadian Community Health Survey can be considered. However, despite its good geographical and temporal coverage, the analysis of small populations in smaller regions (e.g., health regions) and in regards to specific health issues remains challenging. We will look at the methodological issues in analysis of small populations in relation to sampling and non-sampling survey errors that affect the precision and accuracy of the estimates. Francophone minorities in Canada will be used to illustrate the issues throughout the paper.

Indexed as

Health SurveysLanguageMinority GroupsResearch DesignCanadaCross-Sectional StudiesData Interpretation, StatisticalHumansReproducibility of ResultsSelection BiasHealth surveylanguagemethodsminority healthsample size

Identifiers

PMID24300323
PMCPMC6973667

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.