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2  Statistical Interpretation for Practitioners  13

               Figure 2.3  Scatterplots showing before and after         1                         2
  VetBooks.ir  contains a regression line with a negative slope   10
               measurements taken on five individuals. Panel 1 (left)
               estimated ignoring the pairing within individuals.
               Panel 2 (right) shows the paired observations,
                                                         Before/after measurements  5
               demonstrating that all measurements within
               individuals increased over time, in contrast to the
               incorrect impression conveyed in panel 1.











                                                          0
                                                             0     2     4    6     8  0     2     4     6     8
                                                                                    Time

                 having a disease (or conversely being disease free). The fac-  100% of the dogs under three months of age developed
               tors that constitute why an individual possesses such a   the infection; if we assume recovery from infection con-
               health outcome are intertwined, reflecting contributions   fers immunity, it is impossible to even address the issue
               from the risk of developing the outcome, the probabili-  of age above 3 months as a risk factor. This underscores
               ties of recovering, succumbing, or remaining with it over   the fallacy of using prevalence to infer risk when factors
               a short or long time (i.e., its duration), and the probabil-  that affect risk also affect recovery or mortality or leav-
               ity of remaining in the population. Because the contribu-  ing a population.
               tion of the risk of developing the outcome, also known as   Prevalence  nevertheless  has  value  in  quantifying  the
               incidence, cannot be isolated from the effects of the   relative burden or presence of a health outcome in a pop-
               other respective factors influencing prevalence, preva-  ulation at a particular point in time. Clinicians may, for
               lence measures cannot serve as surrogates for measures   example, use disease prevalence to guide their pharma-
               of risk, incidence, or effects.                    ceutical inventories or preventive medicine programs.
                 To illustrate this, suppose 100 dogs are born in January   Measures of relative prevalence can also be informative
               2015 and all become chronically infected with a virus in   in hypothesis generation. To understand this, suppose
               their first three months of life so that their three‐month   the prevalence of antibodies to a particular organism is
               risk of infection is 100%. Also suppose that infection   found more frequently in dogs with immune‐mediated
               only begins to be cleared after 18 months of age and is   polyarthritis than in dogs without arthritis. This is no
               eliminated at 24 months of age. Then consider another   guarantee that the antibody response associated with
               100 dogs born in January 2016, which all become    infection of the organism causally leads to cross‐reactiv-
               infected in their first three months as well. Therefore,   ity with synovial membranes or joint surfaces, because
               the three‐month risk of infection in both groups is 100%.   there is no way by measuring only prevalence to distin-
               Unlike the other dogs, these dogs begin to clear their   guish infection occurring prior to onset of polyarthritis
               infection almost immediately (perhaps due to vaccina-  from infection occurring  afterwards. Such a  finding
               tion or postinfection treatment), and by six months are   could, however, lead to experimental confirmation (or
               disease free.                                      refutation) of the hypothesis that infection leads to pol-
                 However, suppose this incidence information  was   yarthritis. Serologic surveys are frequently used for this
               unknown, and a cross‐sectional study of both sets of   hypothesis‐generating purpose.
               dogs (n = 200) is performed on June 30, 2016 (i.e., there
               is no attrition from the combined population). On this   Cumulative Incidence
               date, the prevalence in all 200 dogs will precisely be 50%
               because the prevalence will be 0% in the 6‐month‐old   In contrast, incidence is more appropriate for inferring
               dogs (n = 100) and 100% in the 18‐month‐old dogs (n =   risk (which can be defined as the average probability of
               100). It would be an error, however, to use these preva-  developing a health outcome of interest in a specified
               lence figures to claim that older age is a risk factor for   time interval). Incidence, by definition, is predicated on
               infection because, unknown to the study investigator,   the initial absence of the outcome among the members
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