Statistician for physiotherapy researchers: repeated-measures ANOVA, effect size, reliability (ICC), ROC curves and reviewer responses. PhD theses and Q1/Q2.
Yes, with the right analytical design. Key: ANCOVA with baseline instead of simple ANOVA, CIs alongside p-values, effect size (Cohen's d with 95% CI), intent-to-treat and full CONSORT reporting. Small N doesn't kill your article; a naive analysis does.
Traditional ANOVA works if your data is complete and spherical. With drop-out or non-sphericity (the usual case), a mixed model is methodologically superior and current reviewers prefer it. I can deliver both analyses so you see the difference and argue your choice.
Yes, in specific journals and with serious methodology. There are statistics designed for N=1 designs (Tau-U, NAP, PND) that give effect size and significance. The key is replicable design and transparent reporting.
Yes, those are the ones I see weekly. The statistics any journal asks for functional scales (MIC, RCI, test-retest reliability) are the same regardless of instrument.