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2006 Dec 28
0
lmer: Interpreting random effects contrasts and model formulation
...uestions about the output and my model formulations. I have replicate measures on Lines which are strictly nested within Populations. (a) So if I want to fit a model where Line is a random effect and Populations are fixed and the random Line effect is constant across Populations, I have: measure_ijk = mu + P_i + L_ij + e_ijk where L ~ N(0,s_L) measure ~ 1 + Population + (1|Population:Line) (b) If instead I want to allow the random Line effect to be Population specific, I put: measure_ijk = mu + P_i + L_ij + e_ijk where L_i ~ N(0,s_L_i) measure ~ 1 + Population + (Population | Population:Line...
2011 Aug 08
1
mixed model fitting between R and SAS
Hi al, I have a dataset (see attached), which basically involves 4 treatments for a chemotherapy drug. Samples were taken from 2 biopsy locations, and biopsy were taken at 2 time points. So each subject has 4 data points (from 2 biopsy locations and 2 time points). The objective is to study treatment difference.? I used lme to fit a mixed model that uses "biopsy.site nested within pid"