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ets exposure, lung cancer - Legacy Tobacco Documents Library

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Epidemioloaie Methodoloay,<br />

Fpi.demiology involves the study of the occurrence rate off<br />

disease and its association wit2-h specific <strong>exposure</strong>s and other<br />

factors in popul .ation groups .<br />

In the process of epidemiologic investigation, the<br />

researcher classifies subjects in a study according to whether ~r<br />

not they have a condition or disease of interest (for exaraple, ~<br />

<strong>lung</strong> <strong>cancer</strong>) and according to whether or not they have been<br />

exposed to a factor of interest (for example, ETS) . The result!G<br />

of this classification are then expressed as an "odds ratio" o~<br />

"relative risk", which reflects the occurrence rate of the<br />

disease in the exposed individual relative to the occurrence raf e<br />

of the disease in the nonexposed individual,<br />

casesS fl<br />

t:he<br />

or<br />

The results of all biologic studies, be they experimental ~r<br />

epidemiologic, are subject to considerable uncertainty, since<br />

variability from subject to subject is an inherent characteristuc<br />

of biologic processes . Furthermore, in epidemiologic studies, as<br />

a practical matter, only a relatively small sample of a nuch ~<br />

larger population can he studied directly . Thus, the<br />

investigator must attempt to determine whether an observation z' ;&<br />

a real one (valid and reproducible on re-examination) or one du~a<br />

to chance variation (and not necessarily valid or reproducible)I,<br />

In order to assist the researcher in this determination of<br />

potential reproducibility, reliability and validity of the<br />

observations made, statistical analysis must be employed .<br />

Statistical analyses not only take into consideration the<br />

magnitude of an association but also the biologic variability<br />

a population relative to this association. , !<br />

tl _r_p.~~•~,~ d~<br />

Statistical methods in eoidemiology not only estimate odd3<br />

raLios but also so-called 95%, confidence intervals of the<br />

estir..ate of risk . The 95% confidence interval is an estiL .ate ~ f<br />

the variability and is expressed as a range above and below the ;<br />

"poinz estimate" odds ratio . The wider the interval, t :;a greal-.;-r<br />

the variability . If the lower boundary of the 95,1 confidenc +e<br />

interval exceeds unity (1 .0), the odds ratio is usually regard<br />

as being statistically significant,<br />

v a u a<br />

a~~dds ratio [an~ 9^`= ~-<br />

~ ere statistica?.Lu<br />

ile a stat<br />

http://legacy.library.ucsf.edu/tid/wyk81f00/pdf<br />

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