ReviewPLoS pathogens2012
The problem of auto-correlation in parasitology.
Review in PLoS pathogens, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
What it found
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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.
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.
Who cites it
16 citing papers in PubMed, 29 citations in OpenAlex.
- An orally administered drug prevents selection for antibiotic-resistant bacteria in the gut during daptomycin therapy.Evolution, medicine, and public health · 2022Article
- Article
- Habitat and host factors associated with liver fluke (Fasciola hepatica) diagnoses in wild red deer (Cervus elaphus) in the Scottish Highlands.Parasites & vectors · 2019Article
- Population sampling affects pseudoreplication.PLoS biology · 2018Article
- Cryptic genetic variation and adaptation to waterlogging in Caledonian Scots pine,Ecology and evolution · 2018Article
- A nutrient mediates intraspecific competition between rodent malaria parasitesProceedings. Biological sciences · 2017Article
- Quantifying Transmission Investment in Malaria Parasites.PLoS computational biology · 2016Article
- A deep sequencing tool for partitioning clearance rates following antimalarial treatment in polyclonal infections.Evolution, medicine, and public health · 2016Article
- Parasites, stress and reindeer: infection with abomasal nematodes is not associated with elevated glucocorticoid levels in hair or faeces.Conservation physiology · 2016Article
- Understanding genetic variation in in vivo tolerance to artesunate: implications for treatment efficacy and resistance monitoring.Evolutionary applications · 2015Article
- Within-host competition does not select for virulence in malaria parasites; studies with Plasmodium yoelii.PLoS pathogens · 2015Article
- Dynamics of prevalence and diversity of avian malaria infections in wild Culex pipiens mosquitoes: the effects of Wolbachia, filarial nematodes and insecticide resistance.Parasites & vectors · 2014Article
- Rapid response to selection, competitive release and increased transmission potential of artesunate-selected Plasmodium chabaudi malaria parasites.PLoS pathogens · 2014Article
- An experimental test of the effects of behavioral and immunological defenses against vectors: do they interact to protect birds from blood parasites?Parasites & vectors · 2014Article
- Disrupting rhythms in Plasmodium chabaudi: costs accrue quickly and independently of how infections are initiated.Malaria journal · 2013Article
- Stochastic environmental fluctuations drive epidemiology in experimental host-parasite metapopulations.Proceedings. Biological sciences · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 3 countries.
Funding
Abstract
Explaining the contribution of host and pathogen factors in driving infection dynamics is a major ambition in parasitology. There is increasing recognition that analyses based on single summary measures of an infection (e.g., peak parasitaemia) do not adequately capture infection dynamics and so, the appropriate use of statistical techniques to analyse dynamics is necessary to understand infections and, ultimately, control parasites. However, the complexities of within-host environments mean that tracking and analysing pathogen dynamics within infections and among hosts poses considerable statistical challenges. Simple statistical models make assumptions that will rarely be satisfied in data collected on host and parasite parameters. In particular, model residuals (unexplained variance in the data) should not be correlated in time or space. Here we demonstrate how failure to account for such correlations can result in incorrect biological inference from statistical analysis. We then show how mixed effects models can be used as a powerful tool to analyse such repeated measures data in the hope that this will encourage better statistical practices in parasitology.
Indexed as
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What OpenQuestion holds
Registered trials
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.