Meta-analysis Workflow

Effect of BCG vaccination on Tuberculosis Test outcomes

Mahmoud Shaaban
Monday 25th

PRISMA Statement


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Quantitative Analysis


  • Extracting data from individual studies
  • Calculating an effect estimate
  • Calculating an average estimate over studies
  • Interpreting and justification results
  • Heterogeneity investigation

Methods


  • Data set & Code (Berkey et al. 1995 & Viechtbauer 2010)

  • Statistical Models (Fixed- & Random-effects Models)

  • Software (R, metafor, LaTeX, markdown & github)

Methods, continue


Data set & Code

(Berkey et al. 1995 & Viechtbauer 2010)

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Methods, continue

Statistical Models

  • General Formula

\[ y_i = \theta_i + e_i \quad and \quad N \sim (0,v_i) \]

  • Fixed-effects Model

\[ \bar \theta_w = \dfrac{\sum w_i \theta_i}{\sum w_i} \quad or \quad \bar\theta_u = \dfrac{\sum \theta_i}{k} \]

  • Random-effects Model

\[ \theta_i = \mu + u_i \quad and \quad N \sim (0,\tau^2) \]

\[ \theta_i = \beta_0 + \beta_1 x_{i1} + ... +\beta_{p'}x_{ip} + u_i \]

Methods, continue

Results

Vaccination with BCG reduces relative risk of tuberculosis

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Results, Continue

Vaccination with BCG is less beneficial in areas near the equator



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Diagnostics

Publication Bias



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Diagnostics, Continue

Influence of individual studies




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Conclusion


  • Vaccination with BCG protects against tuberculosis
  • Vaccination with BCG is less beneficial in areas near the equator
  • The allocation method does’t affect the trials outcomes
  • R is awesome!