  The Square Kilometre Array (SKA), when it becomes functional, is expected to
enrich neutron star (NS) catalogues by at least an order of magnitude over
their current state. This includes the discovery of new NS objects leading to
better sampling of under-represented NS categories, precision measurements of
intrinsic properties such as spin period and magnetic field, as also data on
related phenomena such as microstructure, nulling, glitching, etc. This will
present a unique opportunity to seek answers to interesting and fundamental
questions about the extreme physics underlying these exotic objects in the
universe. In this paper, we first present a meta-analysis (from a
methodological viewpoint) of statistical analyses performed using existing NS
data, with a two-fold goal: First, this should bring out how statistical models
and methods are shaped and dictated by the science problem being addressed.
Second, it is hoped that these analyses will provide useful starting points for
deeper analyses involving richer data from SKA whenever it becomes available.
We also describe a few other areas of NS science which we believe will benefit
from SKA which are of interest to the Indian NS community.
