TY - JOUR
T1 - Power calculations using exact data simulation
T2 - A useful tool for genetic study designs
AU - Van Der Sluis, Sophie
AU - Dolan, Conor V.
AU - Neale, Michael C.
AU - Posthuma, Danielle
PY - 2008/3/1
Y1 - 2008/3/1
N2 - Statistical power calculations constitute an essential first step in the planning of scientific studies. If sufficient summary statistics are available, power calculations are in principle straightforward and computationally light. In designs, which comprise distinct groups (e.g., MZ & DZ twins), sufficient statistics can be calculated within each group, and analyzed in a multi-group model. However, when the number of possible groups is prohibitively large (say, in the hundreds), power calculations on the basis of the summary statistics become impractical. In that case, researchers may resort to Monte Carlo based power studies, which involve the simulation of hundreds or thousands of replicate samples for each specified set of population parameters. Here we present exact data simulation as a third method of power calculation. Exact data simulation involves a transformation of raw data so that the data fit the hypothesized model exactly. As in power calculation with summary statistics, exact data simulation is computationally light, while the number of groups in the analysis has little bearing on the practicality of the method. The method is applied to three genetic designs for illustrative purposes.
AB - Statistical power calculations constitute an essential first step in the planning of scientific studies. If sufficient summary statistics are available, power calculations are in principle straightforward and computationally light. In designs, which comprise distinct groups (e.g., MZ & DZ twins), sufficient statistics can be calculated within each group, and analyzed in a multi-group model. However, when the number of possible groups is prohibitively large (say, in the hundreds), power calculations on the basis of the summary statistics become impractical. In that case, researchers may resort to Monte Carlo based power studies, which involve the simulation of hundreds or thousands of replicate samples for each specified set of population parameters. Here we present exact data simulation as a third method of power calculation. Exact data simulation involves a transformation of raw data so that the data fit the hypothesized model exactly. As in power calculation with summary statistics, exact data simulation is computationally light, while the number of groups in the analysis has little bearing on the practicality of the method. The method is applied to three genetic designs for illustrative purposes.
KW - Power
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=40049106224&partnerID=8YFLogxK
U2 - https://doi.org/10.1007/s10519-007-9184-x
DO - https://doi.org/10.1007/s10519-007-9184-x
M3 - Article
C2 - 18080738
SN - 0001-8244
VL - 38
SP - 202
EP - 211
JO - Behavior genetics
JF - Behavior genetics
IS - 2
ER -