LectureSept23

LectureSept23 - BME 423 Lecture Notes - Sept. 23, 2009...

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1 Hypothesis Testing Special Case of Two Groups BME 423 Lecture Notes - Sept. 23, 2009 II. Multiple Comparisons (Isolating Differences) A. Bonferroni B. Holm t Test III. Multiple Comparisons Against a Single Control A. Bonferroni B. Holm t Test IV. The Meaning of P (read presentation in book) Chapt 4: p 98-104 p 111-113 p 117 - 122 ANOVA 2 2 bet wit s F s = 1 (1 ) n d m mn ν = = (, ) nd FF α νν > P < Reject H0 with: 12 0: m H μ μμ = == "
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2 () tt α ν > 12 2 nn = +− t Test P < Reject H0 with: 0: H μ = 22 x x t s s = + Comments on Misuse of the t Test II. Multiple Comparisons –Bonferroni t Test Bonferroni inequality: T k α= Overall level of Significance (e.g., 0.05) T k < # of pair-wise comparisons significance to use for each pair-wise comparison For each t test comparison use: Also (1 ) wit ss mn =
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3 Problem 3.3 From Glantz (1)Marathon runners 64.8 14.3 (2)Joggers 58.0 17.7 (3)Inactive men 43.3 14.2 HDL Concentration (mg/dL) Mean Std. Dev. n=70 2 2 8453. 35.25 239.9 bet wit s F s == = 31 2 3(70 1) 207 n d ν = −= =− = 0.01 35.25 (2,207) 4.60 FF => = 0.01 P < Reject H0 with: Bonferroni t Test 22 AB wit wit xx t s s nn = +
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This note was uploaded on 10/13/2009 for the course BME 423 at USC.

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LectureSept23 - BME 423 Lecture Notes - Sept. 23, 2009...

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