Least Square Means (LSM) for unequal sequence [Regulatives / Guidelines]

posted by yicaoting  – NanKing, China, 2011-10-03 17:28 (5012 d 00:22 ago) – Posting: # 7412
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Dear ElMaestro,

❝ 1. You take the Mean of T in Seq TR and the mean of T in Seq RT. You add them and divide by two. Do the same for R.


Thank you for your guide, your equation works well to calculate LSM for unequal sequences data (both for original and Ln-transformed data), thank you again.
But how to calculate SE in WinNonlin? The same SEs for R and T, why?

❝ 2. The crucial variability for a 2,2,2-BE design from which the 90% CI is derived is the residual sigma (which is your [pseudo-]within variability). Since there is no true replication of neither T nor R you cannot derive a within-subject variability separately for T or R. Think of it in matrix terms: Your error matrix is just a bunch of zeros and with the common sigma on the diagonal.


Thank you for your explanation on residual sigma.

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