Participant selection algorithm. by Alex Gough (16734033)

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Probability of second result being 10 mg/L different than first result. by Alex Gough (16734033)

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Coefficient of variation by patient median CRP (mg/L) with 95% confidence intervals. by Alex Gough (16734033)

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Heat map showing the coefficient of variation for multivariable analysis according to median CRP result, sex, age, ethnicity, deprivation and BMI. by Alex Gough (16734033)

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Associations between pre-assessment self-report measures and EMA (14-day) ratings. by Chan-Young Ahn (22683343)

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Feature importance scores of the predictors. by Chan-Young Ahn (22683343)

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Confusion Matrix for Binary Classification. by Chan-Young Ahn (22683343)

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Descriptive statistics of demographic and clinical characteristics. by Chan-Young Ahn (22683343)

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Multilevel logistic regression models with each negative emotions as a predictor. by Chan-Young Ahn (22683343)

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Acute and convalescent data for serological assays, colored by probability of infection found during model testing for Model 9. a) Geometric mean titers of a haemagglutination inhi... by Marco Hamins-Puértolas (15238661)

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Acute and convalescent samples from cohort study data for serological assays, colored by whether they are predicted as infections using Model 9. by Marco Hamins-Puértolas (15238661)

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Relationship between estimated probability of a dengue virus infection (DENV) found during model testing for Model 9 (incorporating paired IgG, IgM, GM HAI, and acute GM HAI serolo... by Marco Hamins-Puértolas (15238661)

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Distribution of paired serological data that fall into probability buckets when using Model 9 (incorporating paired IgG, IgM, GM HAI, and acute GM HAI serological data) and the num... by Marco Hamins-Puértolas (15238661)

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Parameters found in Bayesian estimation framework, definition, and prior distribution. by Marco Hamins-Puértolas (15238661)

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(A) Estimated intercept for titer boost when acute titers are initially low for each assay. by Marco Hamins-Puértolas (15238661)

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Simulated serological data using serosim and subsequent results using the full mixture model on (a) HAI, (b) IgG and (c) IgM data with additional observational noise. by Marco Hamins-Puértolas (15238661)

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Acute and convalescent samples from cohort study data for serological assays, colored by the number of serological assays (RT-PCR, HAI, and EIA) that interpret the individual as ha... by Marco Hamins-Puértolas (15238661)

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Comparison between simulation based estimates for boosts in GM HAI, IgG, and IgM that is experienced after an infection event as a function of acute GM HAI, IgG, and IgM titers ind... by Marco Hamins-Puértolas (15238661)

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Comparison of each accuracy metric (sensitivity, specificity, F1, and area under the curve for reporter operator curve (AUC ROC)) on each model. Models are defined by which assays... by Marco Hamins-Puértolas (15238661)

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Relative observational noise by assay and dataset. by Marco Hamins-Puértolas (15238661)

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