A multivariate logisticmodel was used to identify predictors of fetal complications.
2
Conclusion: The logisticmodel that we developed meets high standards for discrimination and calibration.
3
The propensity score was used as a covariate in a logisticmodel for mortality.
4
The model is a modification of the Olson conditional logisticmodel for affected relative pairs.
5
We developed a multivariable logisticmodel to identify factors associated with candidaemia in patients with candiduria.
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We calculated prevalence ratios by fitting a logisticmodel and estimating predicted probabilities using marginal standardization.
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A multiple logisticmodel was used to measure the factors influencing men's involvement in antenatal care services.
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Variables associated with a high BU likelihood in a multivariate logisticmodel were included in the Buruli score.
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However, this association was no longer found to be significant after adjusting for lifestyle factors in the logisticmodel.
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Adjusted risks of conversion and severe postoperative morbidity after laparoscopic resection were computed, according to a multivariate regression logisticmodel.
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The selected variables were assigned an integer or half-integer risk score proportional to the estimated coefficient from the logisticmodel.
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ARS was developed based on the weighting scores of the parameters of all the predicted variables in the logisticmodel.
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The effects of different elements of exposure to hardwood (duration, level, period) were studied in detail with a logisticmodel.
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The logisticmodel linking cumulative AUC with ACR20 adequately characterized the time course of clinical improvement in patients with rheumatoid arthritis receiving etanercept.
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Results: Convenient expressions for D 50,i and γ 50,i were provided for the Poisson and the logisticmodel.
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Results: The multiple logisticmodel revealed that the risk of morbidity was increased by longer operation time, major hepatic resection, and preoperative cardiovascular disease.