Dinh, P. (2013). Using multiple imputation to estimate cumulative distribution functions in longitudinal data analysis with data missing at random. Pharmaceutical statistics : the journal of the pharmaceutical industry, 12(5), 260-267. https://doi.org/10.1002/pst.1579
Chicago Style (17th ed.) CitationDinh, Phillip. "Using Multiple Imputation to Estimate Cumulative Distribution Functions in Longitudinal Data Analysis with Data Missing at Random." Pharmaceutical Statistics : The Journal of the Pharmaceutical Industry 12, no. 5 (2013): 260-267. https://doi.org/10.1002/pst.1579.
MLA (9th ed.) CitationDinh, Phillip. "Using Multiple Imputation to Estimate Cumulative Distribution Functions in Longitudinal Data Analysis with Data Missing at Random." Pharmaceutical Statistics : The Journal of the Pharmaceutical Industry, vol. 12, no. 5, 2013, pp. 260-267, https://doi.org/10.1002/pst.1579.