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Multivariable logistic regression analysis of variables relating to healed status.

Figshare2021-01-04 更新2026-04-28 收录

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https://figshare.com/articles/dataset/Multivariable_logistic_regression_analysis_of_variables_relating_to_healed_status_/13518254 数据链接链接失效反馈

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Multivariable logistic regression analysis of variables relating to healed status.

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创建时间：

2021-01-04

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Multivariate logistic regression analysis to predict the development of Graves’ disease (GD).

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Univariate and multivariable logistic regression analysis for association of clinical factors with presence of brain metastases at baseline.

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Univariate and multivariable logistic regression analysis for association of clinical factors with presence of brain metastases at baseline.

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Supplementary Material for: A MARKED EOSINOPHILIC INFILTRATION IN MUCOSA COULD BE A BETTER PREDICTIVE FACTOR FOR INTRACTABLE NON-ESOPHAGEAL EOSINOPHILIC GASTROINTESTINAL DISORDERS.

嗜酸性粒细胞性胃肠道疾病

临床预测模型

Introduction：Non-esophageal eosinophilic gastrointestinal disorders (non-EoE EGIDs) are rare, but their prevalence has recently increased. Although it has been reported that one-half of patients with

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Replication Data for: External validation of an admission risk score for predicting inpatient paediatric mortality in two Kenyan public hospitals

临床预测模型

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The data was collected as part of the Clinical Information Network (CIN) project which collects routine admission data from participating hospitals. The data used for this analysis were collected betw

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Multivariable logistic regression analysis of variables relating to healed status.

资源简介：

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