The Effect Of Gmms On Study Medication Adherence Has Increased Considerably Throughout The Past Few Years

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Our systematic review demonstrates that the use of GMMs to study medication adherence has increased considerably in the past few years, with no studies having been conducted prior to 2010. This is likely a reflection of the fact that GMMs are a relatively newer statistical technique. For instance, Nagin first introduced GBTMs in 1999, and Muthén introduced GMMs in 2001.23, 24, According to a literature search conducted by Nagin and Odgers, a small, but rapidly developing clinical literature base has emerged since these models were first proposed – from 2000 to 2008, applications of these methods to clinical studies increased from 8 to 80 publications per year.25 Thus, it is perhaps unsurprising, that increased familiarity through application in other clinical areas, led to eventual adoption and popularization of the technique in studying medication adherence. GMMs (and their GBTM counterparts) provide a sophisticated statistical method by which to capture the heterogeneity within a given population, and often map onto how many researchers conceptualize growth, in that, different types of individuals likely exhibit different trajectories of behavior. Given the rapid adoption and application of such models within the clinical literature, and the fact that this modeling technique is relatively novel, it stands to reason that there may be certain methodological nuances which have been overlooked or ignored by researchers. Our review reveals several problematic issues related to

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