|
single factor with 2 levels, different mice in each treatment
|
~ treatment
|
t-test
|
10.1.1
|
|
single factor with > 2 levels, different mice in each treatment
|
~ treatment
|
one-way ANOVA
|
10.1.3
|
|
single factor with ≥ 2 levels and 1 continuous covariate, different mice in each treatment
|
~ treatment + weight
|
ANCOVA
|
14
|
|
two factors, different mice in each treatment combination
|
~ treatment * genotype
|
two way ANOVA
|
15
|
|
single factor with 2 levels, heterogeneity, different mice in each treatment
|
~ treatment,
weights = varIdent(form = ~ 1 | treatment)
|
Welch t-test
|
12.2
|
|
single factor with ≥ 2 levels, heterogeneity, different mice in each treatment
|
~ treatment,
weights = varIdent(form = ~ 1 | treatment)
|
multiple Welch t-tests
|
12.2
|
|
single factor with 2 levels, all treatments measured in each batch, n = 1 for each batch by treatment combination
|
~ treatment + (1 | id)
|
paired t-test
|
12.1.1
|
|
single factor with > 2 levels, all treatments measured in each batch, n = 1 for each batch by treatment combination
|
~ treatment + (1 | id)
|
repeated measures ANOVA (univariate model)
|
16.7
|
|
single factor with > 2 levels, all treatments measured in each batch, n = 1 for each batch by treatment combination
|
~ treatment + (1 | id),
correlation = CorSymm(form = ~ 1 | id),
weights = varIdent(form = ~ 1 | treatment)
|
repeated measures ANOVA (multivariate model)
|
16.7
|
|
single factor with ≥ 2 levels, all treatments measured in each batch, n > 1 for each batch by treatment combination
|
~ treatment + (1 | experiment_id) + (1 | experiment_id:treatment)
|
two-way mixed-effect ANOVA
|
16.6
|
|
single factor with ≥ 2 levels, all treatments measured in each batch, n > 1 for each batch by treatment combination
|
~ treatment + (treatment | experiment_id)
|
none
|
16.6
|