An experiment is conducted to determine the effect of a drug named 6-mercaptopurine (6-MP) on leukemia remission times. A sample of n= 21 leukemia patient is treated with 6-MP and the times of remission are recorded. There are r-9 individuals for whom the remission time is observed, and the remission times for the remaining 12 individuals are randomly censored on the right. Letting an asterisk denote a censored observation, the remission times (in weeks) are 6 6 6* 7 9* 10 10* 11 13 16 17 19* 20* 22 23 25* 32* 32* 34* 35*. a. Find an estimate for S(14) for the treatment group in the 6-MP experiment. b. Determine a 95% confidence interval for the probability of survival to time 14.
Continuous Probability Distributions
Probability distributions are of two types, which are continuous probability distributions and discrete probability distributions. A continuous probability distribution contains an infinite number of values. For example, if time is infinite: you could count from 0 to a trillion seconds, billion seconds, so on indefinitely. A discrete probability distribution consists of only a countable set of possible values.
Normal Distribution
Suppose we had to design a bathroom weighing scale, how would we decide what should be the range of the weighing machine? Would we take the highest recorded human weight in history and use that as the upper limit for our weighing scale? This may not be a great idea as the sensitivity of the scale would get reduced if the range is too large. At the same time, if we keep the upper limit too low, it may not be usable for a large percentage of the population!
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