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pubmed-article:20412598pubmed:abstractTextSurvival analysis methods such as the Kaplan-Meier method, log-rank test, and Cox proportional hazards regression (Cox regression) are commonly used to analyze data from randomized withdrawal studies in patients with major depressive disorder. However, unfortunately, such common methods may be inappropriate when a long-term censored relapse-free time appears in data as the methods assume that if complete follow-up were possible for all individuals, each would eventually experience the event of interest.lld:pubmed
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pubmed-article:20412598pubmed:articleTitlePractical application of cure mixture model for long-term censored survivor data from a withdrawal clinical trial of patients with major depressive disorder.lld:pubmed
pubmed-article:20412598pubmed:affiliationPfizer Global Research and Development, Pfizer Japan Inc., Yoyogi 3-22-7, Shibuya 151-8589, Tokyo Japan.lld:pubmed
pubmed-article:20412598pubmed:publicationTypeJournal Articlelld:pubmed
pubmed-article:20412598pubmed:publicationTypeResearch Support, Non-U.S. Gov'tlld:pubmed