Data · dataset · 2024
Klebsiella pneumoniae in the communit
Listed in ScienceDB
Continuous data were indicated with mean±SD (standard deviation) while categorical data were indicated with number and percentage (%).
Description
For comparisons of means between groups, Mann-Whitney U test or student’s independent t-test was used depends on normality assumption. Categorical data were tested using Chi-square test or Fisher’s exact text (if expected value ≤ 5 was found).
Spearman’s correlation coefficient was used to observe the relation among independent variables. Further, univariate and multivariate logistic regression models were used to analyze the association between independent variables and survival results.The independent variables which were significant in univariate were entered into a multivariate model. Two kinds of multivariate models were used, including the enter method and forward (Wald test) method.
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In the enter method, significant variables were recognized as associated factors. In the forward method with Wald test, the combination of independent variables with best explained variation were reported. The estimated odds ratio (OR) and its 95% confidence interval (CI) were reported in all logistic regression results.
The probabilities generated from the final multivariate logistic regression model was further validated by ROC analysis. The AUC and its 95% confidence interval (CI) were reported. All above analyses were performed using IBM SPSS Version 25 (SPSS Statistics V25, IBM Corporation, Somers, New York).
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.15375 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Text 75%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.15375 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:text | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |