TY - JOUR
T1 - The paired availability design
T2 - A proposal for evaluating epidural analgesia during labor
AU - Baker, Stuart G.
AU - Lindeman, Karen S.
PY - 1994/11/15
Y1 - 1994/11/15
N2 - The paired availability design (PAD) can reduce selection bias when it is not possible to randomize subjects. PAD consists of independent pairs of experimental and control groups. Within each pair, the intervention is the availability of treatment not its receipt. In the experimental group, the new treatment is made available to all subjects although some may not receive it. In the control group, the experimental treatment is generally not available to subjects although some may receive it in special circumstances. We present a statistic to test a null hypothesis that the receipt of intervention will increase response by a specified non‐zero amount δ. We propose this design for use in a study of the effect of epidural analgesia on the rate of Caesarean section.
AB - The paired availability design (PAD) can reduce selection bias when it is not possible to randomize subjects. PAD consists of independent pairs of experimental and control groups. Within each pair, the intervention is the availability of treatment not its receipt. In the experimental group, the new treatment is made available to all subjects although some may not receive it. In the control group, the experimental treatment is generally not available to subjects although some may receive it in special circumstances. We present a statistic to test a null hypothesis that the receipt of intervention will increase response by a specified non‐zero amount δ. We propose this design for use in a study of the effect of epidural analgesia on the rate of Caesarean section.
UR - http://www.scopus.com/inward/record.url?scp=0028109851&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0028109851&partnerID=8YFLogxK
U2 - 10.1002/sim.4780132108
DO - 10.1002/sim.4780132108
M3 - Article
C2 - 7846425
AN - SCOPUS:0028109851
VL - 13
SP - 2269
EP - 2278
JO - Statistics in Medicine
JF - Statistics in Medicine
SN - 0277-6715
IS - 21
ER -