mind.md

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• Introduction

• Methods

  • Study cohort
  • Primary outcome and secondary outcomes
  • Statistical methods
    • The doubly robust estimation
    • The gradient boosted model (GBM)
    • inverse probabilities weighting (IPW) model
  • Sensitivity analysis
  • Covariates
  • Comorbidities
  • Vital signs
  • Interventions
  • Laboratory results

• Results

  • fig.1 流程图
  • table 1 Comparison of the basic demographics cohort and the adjusted (weighted) cohort
  • fig.2 The contributions of individual covariates to the final propensity score are illustrated in Fig. 2.
  • Doubly robust analysis
    • table 1 Comparison of the basic demographics cohort and the adjusted (weighted) cohort
  • Primary outcome and sensitivity studies
    • table 2 Primary outcome analysis with five different models
      • (1) doubly robust model with unbalanced covariates
      • (2) doubly robust model with all covariates,
      • (3) propensityscore IPW model
      • (4) propensity score matching model,
      • (5)multivariate logistic regression model
  • Secondary outcomes studies with propensity score
    • table 3 Secondary outcome analysis with propensity score matched cohorts matching

• Discussion

• Conclusions