90 PART 2 Examining Tools and Processes
the birth control pill as their method of choice. While descriptive study designs are
necessary in a practical sense, they are poor at developing evidence for causal
inference, so they are considered inferior to analytic study designs.
Getting analytical
Analytic designs include longitudinal cohort studies and case-control studies.
These are the strongest observational study designs for causal inference. Longitu-
dinal cohort studies are used to study causes of more common conditions, like
hypertension (HTN). It is called longitudinal because follow-up data are collected
over years to see which members of the sample, or cohort, eventually get the out-
come, and which members do not. (In a cohort study, none of the participants has
the condition, or outcome, when they enter the study.) The cohort study design is
described in more detail under the section, “Following a cohort over time.”
Case-control studies are used when the outcome is not that common, such as liver
cancer. In the case of rare conditions, first a group of individuals known to have
the rare condition (cases) is identified and enrolled in the study. Then, a compa-
rable group of individuals known to not have the rare condition is enrolled in the
study as controls. The case-control study design is described in greater detail
under the section “Going from case series to case-control.”
Going from observational to experimental
You may notice in Figure 7-1 that observational studies (which are either descrip-
tive or analytic) comprise most of the figure. Experimental studies — where par-
ticipants are assigned to engage in certain behaviors or interventions — are less
common than observational studies because they have ethical concerns, and are
often expensive and complex. However, experimental studies benefit from gener-
ating the highest level of evidence for causal inference — much higher than
observational studies.
Climbing the Evidence Pyramid
Each of the study designs discussed in the previous sections generates a particular
level of evidence for causal inference. These levels of evidence may be arranged in
a pyramid. As shown in Figure 7-2, the study designs with the strongest evidence
for causal inference are at the top of the pyramid, and those with the weakest are
at the bottom.