APPLICATIONS OF RSS PROCEDURES
Applications of RSS methodology involve several components. First, there is the
initial process of obtaining the sets of SRSs for judgment ranking. Any standard
approach for obtaining SRSs can be used for this step. Next there is the process of
obtaining the judgment rankings themselves within each of these SRSs. A variety of
mechanisms have been proposed for this purpose ranging from totally subjective
rankings by experts in the field to the purely objective use of multiple regression or
logistic regression based on concomitant variables. Standard software packages can be
used for these regressions. Finally, there is the analysis of the RSS data once obtained.
At least thus far in its development the statistical analysis of RSS data has been
consistently the same as what is standard for analogous SRS data. While this may
change as RSS methodology progresses, at this point in time standard software
packages are sufficient to analyze RSS data once it has been collected.
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As an example where RSS methodology can be effectively applied, consider the
problem of estimation of bone mineral density (BMD) in a human population. Subjects
for such a study are plentiful, but measurement of BMD via dual x-ray absorptiometry
on the selected subjects is expensive. Thus, it is important to minimize the number of
subjects required for such a study without reducing the amount of reliable information
obtained about the BMD makeup of the population. Nahhas, Wolfe, and Chen (2002)
discuss the selection of an optimal RSS set size for such an application in collaboration
with Dr. Velimir Matkovic, a researcher in the Bone and Mineral Metabolism
Laboratory at The Ohio State University.
APPLICATIONS OF RSS PROCEDURESApplications of RSS methodology involve several components. First, there is theinitial process of obtaining the sets of SRSs for judgment ranking. Any standardapproach for obtaining SRSs can be used for this step. Next there is the process ofobtaining the judgment rankings themselves within each of these SRSs. A variety ofmechanisms have been proposed for this purpose ranging from totally subjectiverankings by experts in the field to the purely objective use of multiple regression orlogistic regression based on concomitant variables. Standard software packages can beused for these regressions. Finally, there is the analysis of the RSS data once obtained.At least thus far in its development the statistical analysis of RSS data has beenconsistently the same as what is standard for analogous SRS data. While this maychange as RSS methodology progresses, at this point in time standard softwarepackages are sufficient to analyze RSS data once it has been collected.22As an example where RSS methodology can be effectively applied, consider theproblem of estimation of bone mineral density (BMD) in a human population. Subjectsfor such a study are plentiful, but measurement of BMD via dual x-ray absorptiometryon the selected subjects is expensive. Thus, it is important to minimize the number ofsubjects required for such a study without reducing the amount of reliable informationรับเกี่ยวกับแต่งหน้า BMD ของประชากร Nahhas, Wolfe และเฉิน (2002)การเลือกการ RSS กำหนดขนาดที่เหมาะสมสำหรับโปรแกรมประยุกต์ดังกล่าวร่วมหารือมีดร. Velimir Matkovic นักวิจัยในกระดูกและการเผาผลาญของแร่ห้องปฏิบัติการที่มหาวิทยาลัยรัฐโอไฮโอ
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