Browsing Centre for Clinical Trials & Methodology by Author "Taljaard, M"
Now showing items 1-5 of 5
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Cluster over individual randomization: are study design choices appropriately justified? Review of a random sample of trials
Eldridge, S; Taljaard, M; Goldstein, C; Giraudeau, B; Nicholls, S; Carroll, K; Phillips Hey, S; Brehaut, J; Jairath, V; London, A (SAGE Publications, 2020-05-05) -
Cluster randomised trials of individual-level interventions were at high risk of bias.
Easter, C; Thompson, JA; Eldridge, S; Taljaard, M; Hemming, K (2021-06-28)OBJECTIVES: To describe the prevalence of risks of bias in cluster-randomised trials of individual-level interventions, according to the Cochrane Risk of Bias tool. STUDY DESIGN AND SETTING: Review undertaken in duplicate ... -
Completeness of reporting and risks of overstating impact in cluster randomised trials: a systematic review
Turner, EL; Platt, AC; Gallis, JA; Tetreault, K; Easter, C; McKenzie, JE; Nash, S; Forbes, AB; Hemming, K; Group, CBOR (Elsevier, 2021-08-01) -
Pilot and feasibility studies for pragmatic trials have unique considerations and areas of uncertainty.
Chan, CL; Taljaard, M; Lancaster, GA; Brehaut, JC; Eldridge, SM (2021-07-03)BACKGROUND AND OBJECTIVE: Feasibility studies are increasingly being used to support the development of, and investigate uncertainties around, future large-scale trials. The future trial can be designed with either a ... -
A tutorial on sample size calculation for multiple-period cluster randomized parallel, cross-over and stepped-wedge trials using the Shiny CRT Calculator.
Hemming, K; Kasza, J; Hooper, R; Forbes, A; Taljaard, M (2020-06-01)It has long been recognized that sample size calculations for cluster randomized trials require consideration of the correlation between multiple observations within the same cluster. When measurements are taken at anything ...