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In this hypothetical study, ten participants were followed for ten years to observe the development of coronary heart disease (CHD). The analysis of such data can be approached using categorical analysis and survival analysis, both of which provide complementary insights. Categorical analysis focuses on summarizing and comparing outcomes based on distinct categories, while survival analysis deals with the time until an event occurs, incorporating information about censored observations. For categorical analysis, the CHD outcome can be classified into two categories: participants who developed CHD and those who did not. This allows the construction of a contingency table to summarize frequencies and proportions. For example, if __________ ____ __________ ________ ___ _____ ________.
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