TY - JOUR
T1 - Generalizing the information content for stepped wedge designs
T2 - A marginal modeling approach
AU - Li, Fan
AU - Kasza, Jessica
AU - Turner, Elizabeth L.
AU - Rathouz, Paul J.
AU - Forbes, Andrew B.
AU - Preisser, John S.
N1 - Funding Information:
Australian Research Council Discovery Project, Grant/Award Number: DP210101398; Patient‐Centered Outcomes Research Institute, Grant/Award Number: ME‐2019C1‐16196 Funding information
Funding Information:
Research in this article was funded through a Patient‐Centered Outcomes Research Institute (PCORI Award ME‐2019C1‐16196), and an Australian Research Council Discovery Project (DP210101398). The statements presented in this article are solely the responsibility of the authors and do not necessarily represent the views of PCORI, its Board of Governors or Methodology Committee. Dr. Preisser has received a stipend for service as a merit reviewer from PCORI. Dr. Preisser did not serve on the Merit Review panel that reviewed his project. The authors thank Zibo Tian for helpful discussions and computational assistance with the R Shiny App. We also thank the editor, associate editor and two anonymous referees for their valuable suggestions, which greatly improved the exposition of this work. ® ® ® ®
Publisher Copyright:
© 2022 The Authors. Scandinavian Journal of Statistics published by John Wiley & Sons Ltd on behalf of The Board of the Foundation of the Scandinavian Journal of Statistics.
PY - 2022
Y1 - 2022
N2 - Stepped wedge trials are increasingly adopted because practical constraints necessitate staggered roll-out. While a complete design requires clusters to collect data in all periods, resource and patient-centered considerations may call for an incomplete stepped wedge design to minimize data collection burden. To study incomplete designs, we expand the metric of information content to discrete outcomes. We operate under a marginal model with general link and variance functions, and derive information content expressions when data elements (cells, sequences, periods) are omitted. We show that the centrosymmetric patterns of information content can hold for discrete outcomes with the variance-stabilizing link function. We perform numerical studies under the canonical link function, and find that while the patterns of information content for cells are approximately centrosymmetric for all examined underlying secular trends, the patterns of information content for sequences or periods are more sensitive to the secular trend, and may be far from centrosymmetric.
AB - Stepped wedge trials are increasingly adopted because practical constraints necessitate staggered roll-out. While a complete design requires clusters to collect data in all periods, resource and patient-centered considerations may call for an incomplete stepped wedge design to minimize data collection burden. To study incomplete designs, we expand the metric of information content to discrete outcomes. We operate under a marginal model with general link and variance functions, and derive information content expressions when data elements (cells, sequences, periods) are omitted. We show that the centrosymmetric patterns of information content can hold for discrete outcomes with the variance-stabilizing link function. We perform numerical studies under the canonical link function, and find that while the patterns of information content for cells are approximately centrosymmetric for all examined underlying secular trends, the patterns of information content for sequences or periods are more sensitive to the secular trend, and may be far from centrosymmetric.
KW - centrosymmetry
KW - cluster randomized trials
KW - generalized estimating equations
KW - symmetric block correlation structure
KW - variance-stabilizing link function
UR - http://www.scopus.com/inward/record.url?scp=85139624394&partnerID=8YFLogxK
U2 - 10.1111/sjos.12615
DO - 10.1111/sjos.12615
M3 - Article
AN - SCOPUS:85139624394
SN - 0303-6898
JO - Scandinavian Journal of Statistics
JF - Scandinavian Journal of Statistics
ER -