Pine et al. (1983) followed patients with intraabdominal sepsis (blood poisoning) severe enough to warrant surgery...
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Pine et al. (1983) followed patients with intraabdominal sepsis (blood poisoning) severe enough to warrant surgery to determine the incidence of organ failure or death (form sepsis). Those outcomes were correlated with age and preexisting conditions such as alcoholism and malnutrition. The study showed that there are 21 deaths in the set of 106 patients. The time to death or the end of the study is labeled as Time (in days). Survival status is indicated by a binary variable, X1 (1 = death, and 0 = alive). Five potential predictor variables: shock, malnutrition, alcoholism, age, and bowel infarction were labeled X2, X3, X4, X5, and X6, respectively. The four variables X2, X3, X4, and X6 were binary variables, coded 1 if the symptom was present and 0 if absent. The variable X5 = age in years, was retained as a continuous variable. Q. Which is the censoring variable? How many censored subjects in this study Pine et al. (1983) followed patients with intraabdominal sepsis (blood poisoning) severe enough to warrant surgery to determine the incidence of organ failure or death (form sepsis). Those outcomes were correlated with age and preexisting conditions such as alcoholism and malnutrition. The study showed that there are 21 deaths in the set of 106 patients. The time to death or the end of the study is labeled as Time (in days). Survival status is indicated by a binary variable, X1 (1 = death, and 0 = alive). Five potential predictor variables: shock, malnutrition, alcoholism, age, and bowel infarction were labeled X2, X3, X4, X5, and X6, respectively. The four variables X2, X3, X4, and X6 were binary variables, coded 1 if the symptom was present and 0 if absent. The variable X5 = age in years, was retained as a continuous variable. Q. Which is the censoring variable? How many censored subjects in this study
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