single factor with 2 levels, different mice in each treatment

~ treatment

ttest

10.1.1

single factor with > 2 levels, different mice in each treatment

~ treatment

oneway 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 ttest

12.2

single factor with ≥ 2 levels, heterogeneity, different mice in each treatment

~ treatment,
weights = varIdent(form = ~ 1  treatment)

multiple Welch ttests

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 ttest

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)

16.2

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)

16.2

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)

twoway mixedeffect ANOVA

16.1

single factor with ≥ 2 levels, all treatments measured in each batch, n > 1 for each batch by treatment combination

~ treatment + (treatment  experiment_id)

none

16.1
