5 research outputs found

    Statistical comparison of possible causes of competition.

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    <p>Marginal against maximum likelihoods on a scale of the all-cause model and all single-cause models. See <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1003416#pcbi-1003416-t001" target="_blank">Table 1</a>. As all mice are independent, the marginal and maximum likelihoods of a model are summed over all mice in all treatment groups. Competitive suppression of the AS clone by the AJ clone can be solely explained by differences in the parameter (Hypothesis H<sub>5</sub>). No other single cause of competition adequately predicts the data. Circles show mean, and error bars show 2 standard errors from 5 independent fits.</p

    Model fits to parasite densities.

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    <p>Fits of the single-cause model (H<sub>5</sub>) with clone-specific to AS (green) and AJ (blue) parasite densities in reconstituted (top panels), nude (middle panels) and wildtype (bottom panels) mice during mixed infections. Crosses are data. The solid lines give the median fits. Grey regions correspond to the 95% posterior intervals of model uncertainty. These plots show that the model fits the data quite well for each individual in all treatment groups.</p

    Model fits to RBC densities.

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    <p>Fits of the single-cause model (H<sub>5</sub>) with clone-specific to RBC densities in reconstituted (top panels), nude (middle panels) and wildtype (bottom panels) mice during mixed infections. Crosses are data. The solid lines give the median fits. Grey regions correspond to the posterior intervals of model uncertainty. These plots show that the model fits the data quite well for each individual in all treatment groups.</p
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