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The document discusses the use of count regression models to analyze the drug dependence process among newly incident drug users, particularly focusing on tobacco smoking. It highlights the importance of distinguishing between persistence and non-persistence of drug use, as well as estimating the rate of use conditional on persistence. The research emphasizes a two-part mixture model approach due to observed over-dispersion in count distributions and excess zero values. Additionally, it presents findings from various subgroups and outlines statistical methods for analyzing complex survey data related to drug use.

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