Selected article for: "confidence interval and Sample size"

Author: Bhuiyan, Mejbah Uddin; Snelling, Thomas L; West, Rachel; Lang, Jurissa; Rahman, Tasmina; Borland, Meredith L; Thornton, Ruth; Kirkham, Lea-Ann; Sikazwe, Chisha; Martin, Andrew C; Richmond, Peter C; Smith, David W; Jaffe, Adam; Blyth, Christopher C
Title: Role of viral and bacterial pathogens in causing pneumonia among Western Australian children: a case–control study protocol
  • Document date: 2018_3_16
  • ID: w3rxdaii_36
    Snippet: A total of 250 cases and 250 controls will be enrolled. The power of the study to detect a significantly higher rate of pathogen detection among cases versus controls is dependent on the frequency of pathogen detection in healthy controls. Using data from previously published literature among pneumonia cases and healthy controls [10, 48] , it was estimated that a sample size of 250 pneumonia cases and 250 healthy controls would provide 80% power .....
    Document: A total of 250 cases and 250 controls will be enrolled. The power of the study to detect a significantly higher rate of pathogen detection among cases versus controls is dependent on the frequency of pathogen detection in healthy controls. Using data from previously published literature among pneumonia cases and healthy controls [10, 48] , it was estimated that a sample size of 250 pneumonia cases and 250 healthy controls would provide 80% power to identify a significant excess in pathogen detection (lower bound of 95% confidence interval > 1) among cases compared to controls, ranging from at least 3% (for influenza) to 15% (for rhinovirus).

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