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Your search keyword '"Borm GF"' showing total 14 results

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2. Small studies are more heterogeneous than large ones: a meta-meta-analysis.

3. Studies with group treatments required special power calculations, allocation methods, and statistical analyses.

4. Studywise minimization: a treatment allocation method that improves balance among treatment groups and makes allocation unpredictable.

5. A simple method for calculating power based on a prior trial.

6. Updating meta-analyses leads to larger type I errors than publication bias.

7. The evidence provided by a single trial is less reliable than its statistical analysis suggests.

8. Publication bias was not a good reason to discourage trials with low power.

9. Pseudo cluster randomization performed well when used in practice.

10. Objective and perspective determine the choice of composite endpoint.

11. A simple sample size formula for analysis of covariance in randomized clinical trials.

12. A generalized concept of power helped to choose optimal endpoints in clinical trials.

13. Pseudo cluster randomization dealt with selection bias and contamination in clinical trials.

14. An investigation of clinical studies suggests those with multiple objectives should have at least 90% power for each endpoint.

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