Biological Age: Difference between revisions

(2) MLR also distorts the BA at the regression edge and ignores discontinuity in the aging rate<nowiki>{{pmid|6873212}}</nowiki><nowiki>{{pmid|3226152}}</nowiki><nowiki>{{pmid|950448}}</nowiki>

| colspan="1" rowspan="1" |<nowiki>Hollingsworth et al{{pmid|5841151}} and Kroll and Saxtrup{{pmid|11708217}}</nowiki>

| colspan="1" rowspan="1" |<nowiki>(1) Biomarkers are uncorrelated variables{{pmid|16318865}}</nowiki>

(2) PCA avoids the influence of regression edge in MLR<nowiki>{{pmid|3226152}}</nowiki>

| colspan="1" rowspan="1" |<nowiki>PCA cannot avoid the paradox of CA and some statistical deficiencies of MLR{{pmid|16318865}}</nowiki>

| colspan="1" rowspan="1" |<nowiki>Nakamura et al,{{pmid|2737197}}{{pmid|2282902}} Nakamura and Miyao,{{pmid|12634284}} Nakamura et al,{{pmid|8026568}}{{pmid|9762521}} Nakamura and Miyao,{{pmid|17921421}} Nakamura et al,{{pmid|3226152}} Nakamura,<ref>75. Nakamura E. The assessment of physiological age based upon a principal component analysis of various physiological variables. J Kyoto Pref Univ Med. 1985;94:757–769. [Google Scholar]</ref> Nakamura and Miyao,{{pmid|18840798}} Nakamura et al,{{pmid|8803500}} Park et al,{{pmid|18597867}} Bai et al,{{pmid|19940465}} and Zhang{{pmid|25470806}}–{{pmid|24659482}}</nowiki>

| colspan="1" rowspan="1" |<nowiki>Hochschild’s method aims to select aging biomarkers according to their effects on life expectancy{{pmid|2684676}}</nowiki>

(3) A large number of subjects are required when this approach is adopted for another system<nowiki>{{pmid|20005245}}</nowiki>

| colspan="1" rowspan="1" |<nowiki>Hochschild{{pmid|2684676}}{{pmid|2583248}}<ref>76. Hochschild R. Validating Biomarkers of Aging-Mathematical Approaches and Results of a 2462-Person Study. Boca Raton: CRC Press; 1994. [Google Scholar]</ref></nowiki>

| colspan="1" rowspan="1" |KDM is based on minimizing the distance between ''m'' regression lines and ''m'' biomarker points in an ''m''<nowiki>-dimensional space of all biomarkers{{pmid|16318865}}</nowiki>

| colspan="1" rowspan="1" |<nowiki>(1) KDM performed better than CA{{pmid|23213031}}</nowiki>

(2) KDM is precise when compared with other methods<nowiki>{{pmid|23213031}}</nowiki><nowiki>{{pmid|20005245}}</nowiki><nowiki>{{pmid|28110151}}</nowiki>

(3) KDM solves the paradox of CA<nowiki>{{pmid|23213031}}</nowiki><nowiki>{{pmid|20005245}}</nowiki>

| colspan="1" rowspan="1" |<nowiki>The calculation of KDM is complicated{{pmid|20005245}}</nowiki>

| colspan="1" rowspan="1" |<nowiki>Klemera and Doubal,{{pmid|16318865}} Levine,{{pmid|23213031}} Levine and Crimmins,{{pmid|25088793}} Cho et al{{pmid|20005245}} and Jee and Park{{pmid|28110151}}</nowiki>