Multi-level Mediation Confidence Interval Random Effect in R

Huang, S., MacKinnon, D. P., Perrino, T., Gallo, C. G., Cruden, G., & Brown, C. H. (2016). A statistical method for synthesizing mediation analyses using the product of coefficient approach across multiple trials. Statistical Methods & Applications, 25(4), 565-579. doi: 10.1007/s10260-016-0354-y. PMID: 28239330; PMCID:PMC5321206.
         »Find it online: https://www.ncbi.nlm.nih.gov/pubmed/28239330

Sustainment Measurement System

Palinkas, L. A., Spear, S. E., Mendon, S. J., Villamar,J., Valente, T., Chou, C.-P., Landsverk, J., Kellam, S.G., & Brown, C. H. (2016). Measuring sustainment of prevention programs and initiatives: a study protocol. Implementation Science, 11(95). doi: 10.1186/s13012-016-0467-6.
PMID: 27422149; PMCID: PMC4947241.
         »Find it online: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4947241

Systems Science and Interview Tool for Implementation Science

Czaja, S. J., Valente, T. W., Nair, S. N., Villamar, J., &Brown, C. H. (2016). Characterizing implementation strategies using a systems engineering survey and interview tool: A comparison across 10 prevention programs for drug abuse and HIV sexual risk behaviors. Implementation Science, (11)70. doi: 10.1186/s13012-016-0433-3. PMID: 27184963; PMCID: PMC4869203.
         »Find it online: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4869203

Machine Learning Tools for Classifying Implementation Stages: Information Extraction Tool (IET)

Wang, D., Ogihara, M., Gallo, C. G., Villamar, J.,Smith, J. D., Vermeer, W., Cruden, G., Benbow, N., &Brown, C. H. (2016). Automatic Classification of Communication Logs into Implementation Stages via Text Analysis. Implementation Science, 11(1), 119. doi: 10.1186/s13012-016-0483-6. PMID: 27600612;PMCID: PMC5011842.
         »Find it online: https://www.ncbi.nlm.nih.gov/pubmed/27600612

Pisani, A. R., Wyman, P. A., Mohr, D. C., Perrino, T.,Gallo, C. G., Villamar, J., Kendziora, K. Howe, G. W.,Sloboda, Z., Brown, C. H. (2016). Human Subjects Protection and Technology in Prevention Science: Selected Opportunities and Challenges. Prevention Science, 17(6), 765-778. doi: 10.1007/s11121-016-0664-1. PMID: 27220838; PMCID: PMC4938846.
         »Find it online: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4938846