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Your search keyword '"CLUSTER randomized controlled trials"' showing total 43 results

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43 results on '"CLUSTER randomized controlled trials"'

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1. A Comparison of Variance Estimators for Logistic Regression Models Estimated Using Generalized Estimating Equations (GEE) in the Context of Observational Health Services Research.

2. A hybrid approach to sample size re‐estimation in cluster randomized trials with continuous outcomes.

3. Robust analysis of stepped wedge trials using composite likelihood models.

4. Multiply robust generalized estimating equations for cluster randomized trials with missing outcomes.

5. Planning stepped wedge cluster randomized trials to detect treatment effect heterogeneity.

6. Cluster randomized trial designs for modeling time‐varying intervention effects.

7. Sample size requirements for testing treatment effect heterogeneity in cluster randomized trials with binary outcomes.

8. Bayesian design and analysis of two‐arm cluster randomized trials using assurance.

9. Maximin optimal cluster randomized designs for assessing treatment effect heterogeneity.

10. Sample size for partially nested designs and other nested or crossed designs with a continuous outcome when adjusted for baseline.

11. Sample size considerations for assessing treatment effect heterogeneity in randomized trials with heterogeneous intracluster correlations and variances.

12. Defining and estimating effects in cluster randomized trials: A methods comparison.

13. Sample size calculation for randomized trials via inverse probability of response weighting when outcome data are missing at random.

14. Power analyses for stepped wedge designs with multivariate continuous outcomes.

15. The batched stepped wedge design: A design robust to delays in cluster recruitment.

16. The required size of cluster randomized trials of nonpharmaceutical interventions in epidemic settings.

17. Sample size calculation for cluster randomized trials with zero‐inflated count outcomes.

18. Constrained randomization and statistical inference for multi‐arm parallel cluster randomized controlled trials.

19. Power analysis for stepped wedge trials with multiple interventions.

20. Accounting for unequal cluster sizes in designing cluster randomized trials to detect treatment effect heterogeneity.

21. Response adaptive intervention allocation in stepped‐wedge cluster randomized trials.

22. Ratio estimators of intervention effects on event rates in cluster randomized trials.

23. Power calculation for analyses of cross‐sectional stepped‐wedge cluster randomized trials with binary outcomes via generalized estimating equations.

24. When should matching be used in the design of cluster randomized trials?

25. Sample size considerations for matched‐pair cluster randomization design with incomplete observations of binary outcomes.

26. Contamination: How much can an individually randomized trial tolerate?

27. Information content of stepped wedge designs with unequal cluster‐period sizes in linear mixed models: Informing incomplete designs.

28. Design and analysis of three‐arm parallel cluster randomized trials with small numbers of clusters.

29. Variance formulae for multiphase stepped wedge cluster randomized trial.

30. Incorporating pragmatic features into power analysis for cluster randomized trials with a count outcome.

31. Sample size calculation for cluster randomization trials with a time-to-event endpoint.

32. Sample size calculation in three‐level cluster randomized trials using generalized estimating equation models.

33. Maintaining the validity of inference in small-sample stepped wedge cluster randomized trials with binary outcomes when using generalized estimating equations.

34. Sample size and power calculations for open cohort longitudinal cluster randomized trials.

35. Sample size estimation for stratified individual and cluster randomized trials with binary outcomes.

36. Analysis of counts for cluster randomized trials: Negative controls and test‐negative designs.

37. Novel methods for the analysis of stepped wedge cluster randomized trials.

38. Design and analysis considerations for cohort stepped wedge cluster randomized trials with a decay correlation structure.

39. How many times should a cluster randomized crossover trial cross over?

40. Information content of stepped-wedge designs when treatment effect heterogeneity and/or implementation periods are present.

41. Reconciling randomized trial evidence on proximal versus distal outcomes, with application to trials of influenza vaccination for healthcare workers.

42. Optimal designs in three-level cluster randomized trials with a binary outcome.

43. Discussion of article by Ellenberg and Morris.

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