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Real world data vs a randomized controlled trial for comparative effectiveness research.
If you change analytical methods of the real world data, can you generate any conclusion that you want?
Yes!
The randomized controlled trial remains the gold standard.
@ASTRO_org #ASTRO21
If you change analytical methods of the real world data, can you generate any conclusion that you want?
Yes!
The randomized controlled trial remains the gold standard.
@ASTRO_org #ASTRO21
Comparative effectiveness research evaluates the efficacy of one treatment relative to another, treatment A vs treatment B.
For example:
Radiation vs surgery for prostate cancer
Ivermectin vs placebo for COVID
Streptomycin for TB (1st RCT!, ncbi.nlm.nih.gov/pmc/articles/P…)
For example:
Radiation vs surgery for prostate cancer
Ivermectin vs placebo for COVID
Streptomycin for TB (1st RCT!, ncbi.nlm.nih.gov/pmc/articles/P…)
Since the 1970s, hospital databases have started to grow to allow for "real world data" analysis, using rudimentary methods like univariate and multivariate analysis
Since 2000s, the creation of large national databases allows for more complex statistics, eg, PSM.
Since 2000s, the creation of large national databases allows for more complex statistics, eg, PSM.
