Meta-analyses involving cross-over trials: methodological issues.

By Diana Elbourne, Douglas G. Altman, Julian P. T. Higgins, F. Curtin, H. Worthington, A. Vail. International Journal of Epidemiology, 2002

1,557 citations recorded by the source corpus.

Subfields: Food Science, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/ef1ed175d8186f060f45bd5eb2001c6b44acf168

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Food Science

1. John P. A. Ioannidis

In Statistics and Probability

1. David Moher
2. Douglas G. Altman
3. John P. A. Ioannidis
4. J. Tetzlaff
5. K. F. Schulz
6. Mike Clarke
7. P. Gøtzsche
8. A. Liberati

Citations in the corpus

• The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009, result): “Standard deviations may have to be reconstructed from other statistics such as p-values and t statistics [115,116], or occasionally they may be imputed from the standard deviations observed in other studies [117].”
• Algorithm for neuropathic pain treatment: An evidence based proposal (2005, neutral): “Combining cross-over and parallel designed studies in meta-analyses is another concern (Elbourne et al., 2002), and the generally lower NNT value with the tricyclic antidepressants may in part be due to the fact that 19/23 trials were cross-over trials compared to 2/12 of the gabapentin/pregabalin…”