000000954 001__ 954
000000954 005__ 20251208085056.0
000000954 0247_ $$2DOI$$a10.6083/M4BK19D8
000000954 037__ $$aETD
000000954 245__ $$aPower and sample size determination for time course microarray differential expression studies: a positive false discovery rate and permutation-based simulation method
000000954 269__ $$a2013
000000954 336__ $$aThesis
000000954 502__ $$bM.P.H.
000000954 502__ $$gBiostatistics
000000954 520__ $$aMicroarray experiments enable simultaneous assessment of thousands of genes, often to identify differential expression across conditions. While sample size methods exist for static designs, few address time course experiments. This thesis introduces a flexible approach for sample size and power analysis in time course microarray studies using positive false discovery rate control. To account for non-normality and correlation in gene expression data, the method employs permutation-based null distributions for test statistics. Simulation results are compared with existing methods for both static and time course designs, demonstrating improved accuracy in error rate and sample size estimation.
000000954 540__ $$fCC BY
000000954 542__ $$fIn copyright - single owner
000000954 650__ $$aSample Size$$030772
000000954 650__ $$aGene Expression$$028717
000000954 650__ $$aStatistics as Topic$$026381
000000954 650__ $$aMicroarray Analysis$$035790
000000954 6531_ $$astatistical methods
000000954 6531_ $$adna microarrays
000000954 691__ $$aSchool of Medicine$$041369
000000954 692__ $$aDepartment of Public Health and Preventive Medicine$$041444
000000954 7001_ $$aBeer, Joanne$$uOregon Health and Science University$$041354
000000954 7201_ $$aChoi, Dongseok$$uOregon Health and Science University$$041354$$7Personal$$eAdvisor
000000954 8564_ $$931d4a271-0489-4bbf-af71-40c1fdb04154$$s4760865$$uhttps://digitalcollections.ohsu.edu/record/954/files/957_etd.pdf$$ePublic$$2a76977f89ba523efb7f413bf5917760e$$31
000000954 905__ $$a/rest/prod/0c/48/3j/42/0c483j42m
000000954 909CO $$ooai:digitalcollections.ohsu.edu:954$$pstudent-work
000000954 980__ $$aTheses and Dissertations