Exact power computation for dose-response studies.
The toxicity of an agent or the therapeutic effect of a drug may be assessed by a dose-response study. We present a method for computing the exact power of exact and large sample statistical tests employed for binary response data from such a study. This method, based on recursive polynomial multiplications, enables fast computation of exact power for studies with up to a moderately large sample size. We demonstrate the efficiency of our method using three examples. The method is suitable for the design and power analysis of dose-response studies in which the usual asymptotic approximations are suspect.
Tang
M L
ML
Department of Biostatistics, UCLA School of Public Health, USA.
Hirji
K F
KF
Vollset
S E
SE
D000236:Adenoma / Q000188:drug therapy; D000465:Algorithms; D000818:Animals; D004305:Dose-Response Relationship, Drug; D005314:Embryonic and Fetal Development / Q000187:drug effects; D005260:Female; D018682:GABA Agents / Q000633:toxicity; D006801:Humans; D016014:Linear Models; D016015:Logistic Models; D008297:Male; D000432:Methanol / Q000633:toxicity; D051379:Mice; D010911:Pituitary Neoplasms / Q000188:drug therapy; D011247:Pregnancy; D051381:Rats; D017208:Rats, Wistar; D015203:Reproducibility of Results; D018401:Sample Size; D012984:Software; D013737:Testis / Q000187:drug effects; D014116:Toxicology / Q000379:methods*; D014494:Unithiol / Q000633:toxicity; D014635:Valproic Acid / Q000633:toxicity
D018682:GABA Agents; D014494:Unithiol; D014635:Valproic Acid; D000432:Methanol