What is the Probability of Fibrillation After N Attempts?

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SUMMARY

The discussion focuses on calculating the probability of a patient remaining in fibrillation after N attempts using the binomial distribution. The provided data indicates that the fraction persisting in fibrillation decreases with each attempt, with specific values for 0 to 4 attempts. The user proposes a model where the probability of defibrillation, denoted as p, is derived from the equation p + q = 1, where q represents the probability of remaining in fibrillation. This approach effectively estimates p based on the observed data.

PREREQUISITES
  • Understanding of binomial distribution principles
  • Knowledge of probability theory, specifically independent events
  • Familiarity with mathematical modeling techniques
  • Basic statistical analysis skills
NEXT STEPS
  • Study the binomial distribution in detail, focusing on its applications in medical statistics
  • Learn how to derive probabilities from empirical data using statistical methods
  • Explore advanced probability concepts such as Markov chains for modeling dependent events
  • Investigate the implications of independent versus dependent probabilities in clinical settings
USEFUL FOR

Students in statistics, healthcare professionals involved in patient care, and researchers analyzing defibrillation outcomes will benefit from this discussion.

QuantumParadx
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Homework Statement



The question provides a table and asks:

Number of Attempts Fraction persisting in fibrillation
0 1.00
1 0.37
2 0.15
3 0.07
4 0.02

"Assume that the probability p of defibrillation on one attempt is independent of other attempts. Obtain an equation for the probability that the patient remains in fibrillation after N attempts. Compare it to the data and estimate p."


Homework Equations



Binomial Distribution

The Attempt at a Solution



I used the binomial distribution for my equation to estimate the probability that the patient remains in fibrillation. I'm not concerned about the "number of successes" in each attempt, so I believe this problem is similar to asking a coin toss question. For example, the probability that a coin will return heads after 1 attempt is 0.50. After 2 attempts, 0.5*0.5, etc.

Likewise, there are two possibilities: fibrillation and defibrillation. Instead of the coin example, the probability that the patient remains in fibrillation is 0.37. After two attempts, 0.37*0.37. After 3 attempts, 0.37*0.37*0.37, etc. It models the data rather well.

So then to estimate "p", the probability of defibrillation in each, p+q = 1 ---> p= 1-q

Does this sound reasonable?
 
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QuantumParadx said:
Obtain an equation for the probability that the patient remains in fibrillation after N attempts. Compare it to the data and estimate p."

The Attempt at a Solution



I used the binomial distribution for my equation to estimate the probability that the patient remains in fibrillation. I'm not concerned about the "number of successes" in each attempt, so I believe this problem is similar to asking a coin toss question. For example, the probability that a coin will return heads after 1 attempt is 0.50. After 2 attempts, 0.5*0.5, etc.

Likewise, there are two possibilities: fibrillation and defibrillation. Instead of the coin example, the probability that the patient remains in fibrillation is 0.37. After two attempts, 0.37*0.37. After 3 attempts, 0.37*0.37*0.37, etc. It models the data rather well.

So then to estimate "p", the probability of defibrillation in each, p+q = 1 ---> p= 1-q

Does this sound reasonable?
The question asks for an equation. What is your equation for the probability that the patient remains in fibrillation after N attempts.

AM
 

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