Penn State Penn State: College of the Liberal Arts
Gene Environment Interplay
Across the Lifespan
  1. Project
    2.  | Blozis, S. A., Ge., X., Xu, S., Natsuaki, M. N., Shaw, D. S., Neiderhiser, J., Scaramella, L., Leve, L. D., & Reiss, D. (2013). Sensitivity analysis of multiple informant models when data are not missing at random. Structural Equation Modeling, 20(2), 283-298. DOI: 10.1080/10705511.2013.769393. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4162658/

Blozis, S. A., Ge., X., Xu, S., Natsuaki, M. N., Shaw, D. S., Neiderhiser, J., Scaramella, L., Leve, L. D., & Reiss, D. (2013). Sensitivity analysis of multiple informant models when data are not missing at random. Structural Equation Modeling, 20(2), 283-298. DOI: 10.1080/10705511.2013.769393. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4162658/

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Blozis, S. A., Ge., X., Xu, S., Natsuaki, M. N., Shaw, D. S., Neiderhiser, J., Scaramella, L., Leve, L. D., & Reiss, D. (2013). Sensitivity analysis of multiple informant models when data are not missing at random. Structural Equation Modeling, 20(2), 283-298. DOI: 10.1080/10705511.2013.769393.
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4162658/

Skills

Posted on

October 13, 2021