I'm working with a lot of data that was collected by obstetricians regarding the health of infants (birth weight, gestational age at delivery, mother's BMI), and I am trying to connect this data with geometric measurements performed on microscopic slide scans for each associated placenta (area, perimeter, number of blood vessels). Each mother-infant-placenta trio is identified with a lab ID so it is possible to know which is which, but there are only 27 sets of mother-infant-placenta.
All the clinical data were taken before I arrived on the scene. I was pretty much given the placenta slide images, and an excel sheet of the clinical data. Then I performed the geometric measurements of the placentas. So the data was not taken with my purpose in mind.
My question is, what can I do with this data? I collected measurements with some clinical knowledge that the condition of a placenta is both an influence on and reflection of the infant health outcome. But I desperately need advice on which statistical/data mining techniques I can use to see how my measurements affect/are an indicator of infant health.
Is there any hope for ad-hoc analysis on a small sample size?