Propensity Score-Based Approaches to Confounding by Indication in Individual Patient Data Meta-Analysis: Non-Standardized Treatment for Multidrug Resistant Tuberculosis

In the absence of randomized clinical trials, meta-analysis of individual patient data (IPD) from observational studies may provide the most accurate effect estimates for an intervention. However, confounding by indication remains an important concern that can be addressed by incorporating individua...

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Veröffentlicht in:	PloS one 2016-03, Vol.11 (3), p.e0151724-e0151724
Hauptverfasser:	Fox, Gregory J, Benedetti, Andrea, Mitnick, Carole D, Pai, Madhukar, Menzies, Dick
Format:	Artikel
Sprache:	eng
Schlagworte:	Antibiotics Antitubercular Agents - therapeutic use Bias Biology and Life Sciences Clinical trials Comparative analysis Complications and side effects Confounding Factors (Epidemiology) Data processing Drug resistance Drug therapy Epidemiology Estimates Fluoroquinolones Fluoroquinolones - therapeutic use Humans Indication Macrolide antibiotics Macrolides - therapeutic use Medical research Medicine and Health Sciences Meta-analysis Methods Models, Theoretical Multidrug resistance Multidrug resistant organisms Observational studies Patient Selection Patients Physical Sciences Precision Medicine Propensity Score Regression analysis Research and Analysis Methods Studies Treatment Outcome Tuberculosis Tuberculosis, Multidrug-Resistant - drug therapy
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