TY - JOUR
T1 - Designing studies for dose response
AU - Wong, Weng Kee
AU - Lachenbruch, Peter A.
PY - 1996/2/28
Y1 - 1996/2/28
N2 - 'Dose response' refers to the regression of a response on a stimulus. We review a number of options for dose-response designs, and compare various designs which may be used in practice. We start with two group designs. Next, we introduce basic optimal approximate design theory for simple linear and quadratic regression illustrating different criteria of optimality and their effect on the allocation of the levels of the dose. Then we obtain the efficiencies of these optimal approximate designs and some simple designs which have intuitive appeal (symmetry, equal spacing of treatments, reduced numbers of observations at the highest and lowest doses).
AB - 'Dose response' refers to the regression of a response on a stimulus. We review a number of options for dose-response designs, and compare various designs which may be used in practice. We start with two group designs. Next, we introduce basic optimal approximate design theory for simple linear and quadratic regression illustrating different criteria of optimality and their effect on the allocation of the levels of the dose. Then we obtain the efficiencies of these optimal approximate designs and some simple designs which have intuitive appeal (symmetry, equal spacing of treatments, reduced numbers of observations at the highest and lowest doses).
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U2 - 10.1002/(SICI)1097-0258(19960229)15:4<343::AID-SIM163>3.0.CO;2-F
DO - 10.1002/(SICI)1097-0258(19960229)15:4<343::AID-SIM163>3.0.CO;2-F
M3 - Article
C2 - 8668866
AN - SCOPUS:0030604427
SN - 0277-6715
VL - 15
SP - 343
EP - 359
JO - Statistics in Medicine
JF - Statistics in Medicine
IS - 4
ER -