Skip to main content

Table 4 Change in effect estimates using varying approaches to handle censored observations

From: Use of predicted vital status to improve survival analysis of multidrug-resistant tuberculosis cohorts

Model # Covariate Approach 1: Using initial treatment outcomes Approach 2: Incorporating predicted vital status Approach 3: Using actual vital status Relative Change (Approach 1 & 3) Relative Change (Approach 2 & 3) Reduction in bias from using Approach 2 instead if Approach 1
HR (95% CI) HR (95% CI) HR (95% CI)
1 AR 0.32 (0.15, 0.69)* 0.31 (0.14, 0.66)* 0.26 (0.17, 0.41)** 22.1% 16.7% 5.4%
2 0.24 (0.10, 0.54)* 0.23 (0.10, 0.52)* 0.22 (0.14, 0.36)** 6.3% 3.2% 3.1%
  1. AR Aggressive Regimen; C: Confidence Interval; HR: Hazard Ratio; *p-value: < 0.05; **p-value: < 0.0001
  2. Model 1: Univariate
  3. Model 2: Multivariable: receipt of an aggressive regimen, age, sex, alcohol abuse/dependence, baseline comorbidities, severe clinical status, XDR-TB [used covariates found significant in previous studies for which no data were missing as to not introduce imputation or missing data problems]