diff --git a/01_intro/powersim-intro.pdf b/01_intro/powersim-intro.pdf index 71bdb3b..aa02ee4 100644 Binary files a/01_intro/powersim-intro.pdf and b/01_intro/powersim-intro.pdf differ diff --git a/04_ancova/intro-ancova.pdf b/04_ancova/intro-ancova.pdf index dfedb69..79d02d4 100644 Binary files a/04_ancova/intro-ancova.pdf and b/04_ancova/intro-ancova.pdf differ diff --git a/05_mixed1/exercises-pwrlmm.md b/05_mixed1/exercises-pwrlmm.md index b1f1b1d..9f44ccb 100644 --- a/05_mixed1/exercises-pwrlmm.md +++ b/05_mixed1/exercises-pwrlmm.md @@ -1,7 +1,7 @@ Exercise: Power simulation for longitudinal data ================ -## Risperidone vs. haloperidol and schizophrenia +## Risperidone vs. haloperidol and schizophrenia \[@Moeller08\] ``` r dat <- read.table("../data/moeller.csv", header = TRUE, sep = ",") diff --git a/05_mixed1/intro-lmm.pdf b/05_mixed1/intro-lmm.pdf index d1ce4c3..c5a791a 100644 Binary files a/05_mixed1/intro-lmm.pdf and b/05_mixed1/intro-lmm.pdf differ diff --git a/06_mixed2/exercises.md b/06_mixed2/exercises.md index d3fd939..a941ed0 100644 --- a/06_mixed2/exercises.md +++ b/06_mixed2/exercises.md @@ -33,7 +33,7 @@ dat$ResponseId <- factor(dat$ResponseId) using `lattice::xyplot()` - Aggregate the data over Subjects and plot one panel for each rater - How would you choose the random effects for a model testing - healing over the three conditions + healing over the three conditions? 2. Fit the model you think fits the experimental design best @@ -41,16 +41,16 @@ dat$ResponseId <- factor(dat$ResponseId) 4. Run a power simulation for a replication study: - - Set up a data frame containing the study design and sample size. + - Set up a data frame containing the study design and sample size - - Specify the minimum relevant effects. + - Specify the minimum relevant effects - - Set the fixed effects and variance components to plausible values. + - Set the fixed effects and variance components to plausible values - How many participants are required to detect the specified effect with a power of 80%? - - Recover the parameters of the model for one simulated data set. + - Recover the parameters of the model for one simulated data set ### Reference diff --git a/06_mixed2/intro-datsimlmm.pdf b/06_mixed2/intro-datsimlmm.pdf index 77e0691..99aaa78 100644 Binary files a/06_mixed2/intro-datsimlmm.pdf and b/06_mixed2/intro-datsimlmm.pdf differ