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Multinomial conditional logit regression illustrating influence of attributes on utility in the antibacterial prophylaxis sencario.

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NIAID Data Ecosystem2026-03-07 收录
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https://figshare.com/articles/dataset/_Multinomial_conditional_logit_regression_illustrating_influence_of_attributes_on_utility_in_the_antibacterial_prophylaxis_sencario_/227409
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*Significant at 5% level. Table represents β coefficients (95% confidence interval) and P values from multinomial conditional logit regression. The regression coefficients for each attribute level represent the mean part-worth utility of that attribute level in the respondent sample. Pseudo R2 reflects model fit with higher pseudo R2 reflecting better fit. Abbreviation: HCP – healthcare provider; CI – confidence interval; BID – twice daily; TID – three times daily.
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2012-10-17
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