Evidence map›Paper›PMID 22943299›Full record

ReviewTropical medicine & international health : TM & IH2012

Review: analysis of parasite and other skewed counts.

Neal Alexander

Abstract readReview
In one paragraph

Review in Tropical medicine & international health : TM & IH, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 2 pooled it
–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

42 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  6. Review
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  11. Experimental removal of nematode parasites increases growth, sprint speed, and mating success in brown anole lizards.Journal of experimental zoology. Part A, Ecological and integrative physiology · 2022
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  12. Article
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  14. Distribution of different species of metacercariae in two freshwater fishes:Journal of parasitic diseases : official organ of the Indian Society for Parasitology · 2022
    Article
  15. Article
  16. The Role of Nile Tilapia (Frontiers in veterinary science · 2021
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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

1 author.

Neal AlexanderLondon School of Hygiene and Tropical Medicine, London, UK. neal.alexander@lshtm.ac.uk

Funding

Medical Research Council G0700837Medical Research Council G0700837(82267)Medical Research Council G7508177Wellcome Trust
6 · The paper itself

Abstract

objectiveTo review methods for the statistical analysis of parasite and other skewed count data.

methodsStatistical methods for skewed count data are described and compared, with reference to a 10-year period of Tropical Medicine and International Health (TMIH). Two parasitological datasets are used for illustration.

resultsThe review of TMIH found 90 articles, of which 89 used descriptive methods and 60 used inferential analysis. A lack of clarity is noted in identifying the measures of location, in particular the Williams and geometric means. The different measures are compared, emphasising the legitimacy of the arithmetic mean for the skewed data. In the published articles, the t test and related methods were often used on untransformed data, which is likely to be invalid. Several approaches to inferential analysis are described, emphasising (1) non-parametric methods, while noting that they are not simply comparisons of medians, and (2) generalised linear modelling, in particular with the negative binomial distribution. Additional methods, such as the bootstrap, with potential for greater use are described.

conclusionsClarity is recommended when describing transformations and measures of location. It is suggested that non-parametric methods and generalised linear models are likely to be sufficient for most analyses.

Indexed as

AnimalsHumansLinear ModelsParasite LoadParasitesParasitologyResearch Design

Identifiers

PMID22943299
PMCPMC3468795

What OpenQuestion holds

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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.