Sho Communica ion
Rebu al o De enses Ci ing “In e nally Ma ched Coho s, Time- o-E en Models, and
Pe son-Time Denomina o s” - A Response o De enses Agains ou C i ique on Coho
Composi ion in he Kim e al. COVID-19 Vaccine S udy (Bioma k Res, 13:114, 2025)
Au ho : Ma co Rocce i
A ilia ion: Uni e si y o Bologna, Depa men o Compu e Science and Enginee ing,
Bologna, I aly
Co espondence: [email p o ec ed]
In oduc ion and Disclaime
The de ails o ou quan i a i e c i ique on he me hodology o he Kim e al. s udy [1] can be
ound in ou p ep in s [2-6]. Ou analysis is no ocused on whe he COVID-19 accines a e
biologically associa ed wi h Se ious Ad e se E en s (SAE) o cance isk. Ins ead, ou co e
inding is ha he coho used in he sc u inized s udy is undamen ally lawed and un eliable
due o a se e e me hodological e o in pa icipan selec ion. I will now explain, using
quan i a i e me ics, why he s udy's epo ed associa ion is a s a is ical a i ac and no a
genuine biological signal.
The$Co e Thesis: Ex e nal Validi y Vi ia es In e nal Resul s
The cen al a gumen is ha he s udy by Kim e al. ailed he undamen al equi emen o
ex e nal alidi y (Gene alizabili y – STROBE I em 21) [7]. A ailu e o ex e nal alidi y,
demons ably caused by se e e selec ion bias, ende s any subsequen s a is ical a emp s a
in e nal alidi y (such as P opensi y Sco e Ma ching) i ele an .
The Pa adox
The coho 's o e all C ude Incidence Ra e (CR) o cance was 26% lowe han he
es ablished na ional a e age a e o Sou h Ko ea (40.78 s. 55.02 pe 10,000 in 2022) [8].
This d as ic supp ession means he coho does no ep esen he a ge popula ion's ue
baseline isk. Simila sup ession holds i one conside p e ious yea s [9,10].
The Quan i a i e E idence o Asymme ic Bias
The sou ce o his supp ession is a p onounced, asymme ic unde ep esen a ion in he high-
isk, non- accina ed subg oup:
• O e all Demog aphic De ici : The o al coho shows a ela i e de ici la ge han
32% in he high- isk demog aphic g oup (indi iduals aged >= 65) compa ed o he
Sou h Ko ean na ional s anda d o 18.0% [11].
• The C i ical Asymme y: The mos c ucial inding is he incidence de ici wi hin he
non- accina ed elde ly pa icipan s (>= 65 yea s old): This subg oup's obse ed
cance incidence a e was 85.2 pe 10,000, compa ed o he o icial na ional a e o
155.2 pe 10,000 [12]. This cons i u es an unp eceden ed la ge han 45% unde coun
o expec ed cance cases in he e e ence g oup o un accina ed indi iduals.
The Mechanism o he A i ac
The 45% de ici in he non- accina ed elde ly g oup is he speci ic mechanism ha
ma hema ically gene a ed he spu ious associa ion: The selec ion p ocess (likely a lawed
P opensi y Sco e Ma ching p ocedu e) led o he non- accina ed e e ence g oup being
disp opo iona ely composed o younge , heal hie , lowe - isk indi iduals ( he Heal hy Use
Bias) [13]. By a i icially supp essing he baseline cance isk in he e e ence g oup, he less-
supp essed a e obse ed in he accina ed g oup was made o alsely appea as an excess
isk.
Add essing he Rebu als: P ecision Canno Co ec Bias
C i ics a gue ha he s udy's use o in e nally ma ched coho s, ime- o-e en models, and
pe son- ime denomina o s alida es hei indings. This a gumen is unsound because i
con uses p ecision (In e nal Validi y) wi h u h ulness (Ex e nal Validi y).
• In e nal s. Ex e nal Validi y: These sophis ica ed echniques add ess In e nal Validi y
(p ecision and balancing wi hin he coho ). Howe e , as demons a ed, he coho
was undamen ally comp omised by selec ion bias, a ailu e o Ex e nal Validi y.
• The Failu e o Denomina o s: A undamen al law in he denomina o ( he popula ion
a isk) canno be co ec ed by ad anced s a is ical modeling. I he popula ion
denomina o is missing 45% o he expec ed cance cases in he highes - isk s a um,
he esul ing incidence a e will be inhe en ly lawed. P ecision canno co ec o
bias.
Conclusion
The de ense o he Kim e al. s udy based on in e nal alidi y me ics is insu icien . Ou
quan i a i e analysis demons a es ha he signal o inc eased cance isk is he likely
consequence o se e e, asymme ic selec ion bias ha supp essed he ue baseline isk. A
me hodologically igo ous and demog aphically balanced coho would p edic ably show no
s a is ically impo an di e ence in cance incidence be ween g oups.
Re e ences
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