Incorporating Contact Network Structure in Cluster Randomized Trials

Scientific Reports

Volumn 5, Issue , 2015, Pages

  Staples, Patrick C ^a   Ogburn, Elizabeth L ^b   Onnela, Jukka Pekka ^a  

^a HARVARD UNIVERSITY   (United States)

^b JOHNS HOPKINS UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; CLUSTER ANALYSIS; COMMUNICABLE DISEASE; HUMAN; MOBILE PHONE; PROBABILITY; RANDOMIZED CONTROLLED TRIAL (TOPIC); SOCIAL SUPPORT; STATISTICS AND NUMERICAL DATA;

ALGORITHMS; CELL PHONES; CLUSTER ANALYSIS; COMMUNICABLE DISEASES; HUMANS; PROBABILITY; RANDOMIZED CONTROLLED TRIALS AS TOPIC; SOCIAL SUPPORT;

EID: 84949257685     PISSN: None     EISSN: 20452322     Source Type: Journal    
DOI: 10.1038/srep17581     Document Type: Article

References (44)

1. Lipsey, M. W. Design sensitivity: Statistical power for experimental research vol. 19 (Sage, 1990).
2. Button, K. S. et al. Power failure: why small sample size undermines the reliability of neuroscience. Nature Reviews Neuroscience 14, 365-376 (2013).
3. Ioannidis, J. P. Why most published research findings are false. PLoS medicine 2, e124 (2005).
4. Murray, D. M. Design and analysis of group-randomized trials vol. 29 (Oxford University Press, 1998).
5. Donner, A. & Klar, N. Design and analysis of cluster randomization trials in health research vol. 220 (London Arnold Publishers, 2000).
6. Hayes, R. & Moulton, L. Cluster randomised trials (Chapman & Hall/CRC, 2009).
7. Eldridge, S. & Kerry, S. A practical guide to cluster randomised trials in health services research vol. 120 (John Wiley & Sons, 2012).
8. Crespi, C. M., Wong, W. K. & Mishra, S. I. Using second-order generalized estimating equations to model heterogeneous intraclass correlation in cluster-randomized trials. Statistics in medicine 28, 814-827 (2009).
9. Wang, R., Goyal, R., Lei, Q., Essex, M. & De Gruttola, V. Sample size considerations in the design of cluster randomized trials of combination hiv prevention. Clinical Trials 1740774514523351 (2014).
10. Gilbody, S., Bower, P., Torgerson, D. & Richards, D. Cluster randomized trials produced similar results to individually randomized trials in a meta-analysis of enhanced care for depression. Journal of clinical epidemiology 61, 160-168 (2008).
11. Sobel, M. E. What do randomized studies of housing mobility demonstrate? causal inference in the face of interference. Journal of the American Statistical Association 101, 1398-1407 (2006).
12. Hemming, K., Girling, A. J., Sitch, A. J., Marsh, J. & Lilford, R. J. Sample size calculations for cluster randomised controlled trials with a fixed number of clusters. BMC Medical Research Methodology 11, 1471-2288 (2011).
13. Ukoumunne, O. C. et al. Methods in health service research: evaluation of health interventions at area and organisation level. BMJ: British Medical Journal 319, 376 (1999).
14. Hayes, R., Alexander, N. D., Bennett, S. & Cousens, S. Design and analysis issues in cluster-randomized trials of interventions against infectious diseases. Statistical Methods in Medical Research 9, 95-116 (2000).
15. Zhou, T., Liu, J.-G., Bai, W.-J., Chen, G. & Wang, B.-H. Behaviors of susceptible-infected epidemics on scale-free networks with identical infectivity. Physical Review E 74, 056109 (2006).
16. Hayes, R. & Bennett, S. Simple sample size calculation for cluster-randomized trials. International journal of epidemiology 28, 319-326 (1999).
17. Erdös, P. & Rényi, A. The evolution of random graphs. Publ. Math. Inst. Hung. Acad. Sci. 5, 17-61 (1960).
18. Barabási, A.-L. & Albert, R. Emergence of scaling in random networks. Science 286, 509-512 (1999).
19. Anderson, C. J., Wasserman, S. & Faust, K. Building stochastic blockmodels. Social Networks 14, 137-161 (1992). Special Issue on Blockmodels.
20. Newman, M. E. J. Mixing patterns in networks. Phys. Rev. E 67, 026126 (2003).
21. Anderson, R. M. & May, R. M. Infectious Diseases of Humans (Oxford University Press, Oxford, UK, 1991).
22. Helleringer, S. & Kohler, H.-P. Sexual network structure and the spread of hiv in africa: evidence from likoma island, malawi. Aids 21, 2323-2332 (2007).
23. Goyal, R., Blitzstein, J. & De Gruttola, V. Sampling networks from their posterior predictive distribution. Network Science 2, 107-131 (2014).
24. Molloy, M. & Reed, B. A critical point for random graphs with a given degree sequence. Random structures & algorithms 6, 161-180 (1995).
25. Hidalgo, C. A. & Rodriguez-Sickert, C. The dynamics of a mobile phone network. Physica A: Statistical Mechanics and its Applications 387, 3017-3024 (2008).
26. Eagle, N., Pentland, A. S. & Lazer, D. Inferring friendship network structure by using mobile phone data. Proceedings of the National Academy of Sciences 106, 15274-15278 (2009).
27. Onnela, J.-P., Arbesman, S., González, M. C., Barabási, A.-L. & Christakis, N. A. Geographic constraints on social network groups. PLoS one 6, e16939 (2011).
28. Keeling, M. J. & Rohani, P. Modeling infectious diseases in humans and animals (Princeton University Press, 2008).
29. Pastor-Satorras, R., Castellano, C., Van Mieghem, P. & Vespignani, A. Epidemic processes in complex networks. Rev. Mod. Phys. 87, 925-979 (2015).
30. Newman, M. E. J. The structure and function of complex networks. SIAM Review 45, 167-256 (2003).
31. Newman, M. E. J. Networks: An Introduction (Oxford University Press, Inc., New York, NY, USA, 2010).
32. Kolaczyk, E. D. Statistical analysis of network data: methods and models (Springer Science & Business Media, 2009).
33. Miegham, P. V. Performance Analysis of Complex Networks and Systems (Cambridge University Press, 2014).
34. de Solla Price, D. J. Networks of scientific papers. Science 149, 510-515 (1965).
35. Clauset, A., Shalizi, C. R. & Newman, M. E. J. Power-law distributions in empirical data. SIAM Review 51, 661-703 (February 2009).
36. Porter, M. A., Onnela, J.-P. & Mucha, P. J. Communities in networks. Notices of the AMS 56, 1082-1097 (2009).
37. Frank, O. & Strauss, D. Markov graphs. Journal of the American Statistical Association 81, 832-842 (1986).
38. Watts, D. J. & Strogatz, S. H. Collective dynamics of 'small-world' networks. Nature 393, 440-442 (1998).
39. van Kleef, E., Robotham, J. V., Jit, M., Deeny, S. R. & Edmunds, W. J. Modelling the transmission of healthcare associated infections: a systematic review. BMC infectious diseases 13, 294 (2013).
40. Murray, D. M., Varnell, S. P. & Blitstein, J. L. Design and analysis of group-randomized trials: a review of recent methodological developments. American Journal of Public Health 94, 423-432 (2004).
41. Good, P. I. Resampling methods (Springer, 2001).
42. Harrington, D. Linear rank tests in survival analysis. Encyclopedia of biostatistics (2005).
43. Pagel, C. et al. Intracluster correlation coefficients and coefficients of variation for perinatal outcomes from five clusterrandomised controlled trials in low and middle-income countries: results and methodological implications. Trials 12, 151 (2011).
44. Turner, R. M., Thompson, S. G. & Spiegelhalter, D. J. Prior distributions for the intracluster correlation coefficient, based on multiple previous estimates, and their application in cluster randomized trials. Clinical Trials 2, 108-118 (2005).