Selected article for: "binomial likelihood and likelihood function"
Author: Cauchemez, Simon; Epperson, Scott; Biggerstaff, Matthew; Swerdlow, David; Finelli, Lyn; Ferguson, Neil M.
Title: Using Routine Surveillance Data to Estimate the Epidemic Potential of Emerging Zoonoses: Application to the Emergence of US Swine Origin Influenza A H3N2v Virus
  • Document date: 2013_3_5
    • ID: 16c8dwfq_25
    Snippet: For scenario 1, 12G is an unbiased point estimate of R. A simple binomial likelihood function with probability 12R can be used to derive confidence intervals for R. These intervals capture uncertainty arising from sampling; but may underestimate other sources of uncertainty if the total number of chains of transmission (both detected and undetected) in the study population remains small (see Text S1)......
    Document: For scenario 1, 12G is an unbiased point estimate of R. A simple binomial likelihood function with probability 12R can be used to derive confidence intervals for R. These intervals capture uncertainty arising from sampling; but may underestimate other sources of uncertainty if the total number of chains of transmission (both detected and undetected) in the study population remains small (see Text S1).

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