Table 3 Ten most frequently used methods to analyze each dataset
From: Developing a healthcare dataset information resource (DIR) based on Semantic Web
Dataset | Methods | Â | Â | Â | Â |
|---|---|---|---|---|---|
NHANES | EM algorithm | Neural network model | Wilcoxon signed-rank test | Poisson regression | Chi-squared test |
| Â | 29.55% | 19.63% | 16.69% | 15.02% | 14.85% |
| Â | Kruskal-Wallis test | Logistic regression | Log-rank test | Linear regression | T-test |
| Â | 14.32% | 12.56% | 12.17% | 10.04% | 8.51% |
SEER-medicare | Chi-squared test | Logistic regression | Cox regression | Log-rank test | Survival analysis |
| Â | 54.52% | 50.83% | 39.64% | 17.46% | 14.87% |
| Â | T-test | Regression model | Kaplan-Meier survival estimates | Linear regression | Propensity score matching |
| Â | 11.12% | 10.45% | 9.34% | 8.85% | 7.01% |
Add health | Logistic regression | Chi-squared test | Linear regression | Regression model | Principal component analysis |
| Â | 50.00% | 33.17% | 13.13% | 9.82% | 8.07% |
| Â | ANOVA | Poisson regression | T-test | Propensity score matching | Cox regression |
| Â | 7.49% | 5.74% | 5.06% | 3.40% | 3.40% |
HCUP | Logistic regression | Chi-squared test | Linear regression | T-test | Regression model |
| Â | 57.91% | 48.44% | 20.24% | 18.03% | 15.61% |
| Â | ANOVA | Poisson regression | Cox regression | Mann-Whitney U test | Bootstrap |
| Â | 9.87% | 9.06% | 7.45% | 7.35% | 4.23% |
MDS | Logistic regression | Chi-squared test | Linear regression | Regression model | T-test |
| Â | 42.12% | 39.73% | 17.29% | 14.90% | 13.53% |
| Â | ANOVA | Cox regression | Mann-Whitney U test | Bootstrap | Survival analysis |
| Â | 13.18% | 9.93% | 7.19% | 4.11% | 3.77% |
CPRD | Logistic regression | Cox regression | Chi-squared test | Poisson regression | Propensity score matching |
| Â | 42.35% | 31.03% | 18.87% | 12.37% | 10.48% |
| Â | Linear regression | Regression model | Survival analysis | T-test | Kaplan-Meier survival estimates |
| Â | 9.85% | 8.60% | 6.08% | 5.66% | 4.61% |
MarketScan | Chi-squared test | Logistic regression | Cox regression | T-test | Poisson regression |
| Â | [-2pt]47.88% | 43.32% | 19.22% | 12.87% | 12.21% |
|  | Propensity score matching | Linear regression | Regression model | ANOVA | Fisher’s exact test |
| Â | 10.91% | 9.93% | 9.77% | 6.68% | 5.86% |
THIN | Logistic regression | Cox regression | Chi-squared test | Poisson regression | Regression model |
| Â | 37.33% | 26.04% | 23.27% | 12.44% | 9.91% |
| Â | Inverse probability weighting | Linear regression | T-test | Survival analysis | Propensity score matching |
| Â | 8.99% | 8.53% | 8.06% | 6.91% | 6.68% |
MIMIC | Logistic regression | Chi-squared test | T-test | Mann-Whitney U test | Regression model |
| Â | 45.39% | 20.39% | 17.76% | 15.79% | 14.47% |
| Â | Support vector machine | Linear regression | Cox regression | Kolmogorov-Smirnov test | K-nearest neighbors |
| Â | 14.47% | 11.84% | 11.18% | 9.87% | 9.21% |
Premier | Chi-squared test | K-means | Decision tree model | Logistic regression | Propensity score matching |
| Â | 41.05% | 38.95% | 27.37% | 21.05% | 14.74% |
| Â | Kruskal-Wallis test | Linear discriminant analysis | Regression model | Linear regression | T-test |
| Â | 13.68% | 11.58% | 11.58% | 8.42% | 8.42% |
Clinformatics | Linear regression | Bootstrap | Regression model | Kruskal-Wallis test | Chi-squared test |
| Â | 44.90% | 28.57% | 20.41% | 14.29% | 12.24% |
| Â | F-test | Cox regression | Logistic regression | ANOVA | Survival analysis |
| Â | 12.24% | 10.20% | 10.20% | 8.16% | 6.12% |
Humedica | Chi-squared test | Logistic regression | Bootstrap | Fisher’s exact test | Cox regression |
| Â | 33.33% | 22.22% | 22.22% | 22.22% | 11.11% |
| Â | T-test | Linear regression | Propensity score matching | Survival analysis | Ensemble learning |
| Â | 11.11% | 11.11% | 11.11% | 11.11% | 11.11% |