A grand GLM that includes data from a group of subjects concatenated into one model is a Quiz 4 >>> A grand GLM that includes data from a group of subjects concatenated into one model is a >>> Principles of fMRI 1 10. Question 10 A “grand GLM” that includes data from a group of subjects concatenated into one model is a: 1 / 1 point Random effects analysis Fixed effects analysis Neither of these options —————————————————————————- 12. Question 12 The “summary statistic” approach to random effects analysis is valid and optimal when: 1 / 1 point The measurement error variance is the same for every subject Never The design matrices are equally efficient for every subject and the measurement error variance is the same for every subject The design matrices are equally efficient for every subject —————————————————————————- 7. Question 7 Which of the following are methods for controlling the family-wise error rate? Check all that apply. 1 / 1 point Benjamini-Hochberg method Bonferroni correction Random Field Theory Permutation Tests —————————————————————————- 9. Question 9 Which of the following statements are true? Check all that apply. 1 / 1 point While the FWER controls the probability of any false positives, the FDR controls the proportion of false positives among all rejected tests. If all null hypothesis are true, the FDR is equivalent to the FWER. Since FDR controlling procedures work only on the p-values and not on the actual test statistics, it can be applied to any valid statistical test. Any procedure that controls the FDR also controls the FWER. —————————————————————————- 8. Question 8 Why is random field theory generally preferred to Bonferroni correction in the neuroimaging setting? 1 / 1 point It controls the false detection rate rather than the family-wise error rate. Both of these options Neither of these options It allows one to incorporate the spatial correlation between voxels into the calculation of the appropriate threshold. —————————————————————————- 11. Question 11 Fixed effects analyses are typically: 1 / 1 point Less sensitive but valid for population inference More sensitive and valid for population inference More sensitive but not valid for population inference Less sensitive and not valid for population inference Post Views: 147