Hello all, I am new to this forum, and hope someone will step up helping out on the following. I have a longitudinal data, but with some missing values of individuals' weight. If at least 50% of the data points are not missing, I want to fill missing values based on the overall pattern of observed values (polynomial spline). data have; infile cards; input ID time wt;; cards; 1 1 54 1 2 66 1 3 . 1 4 81 1 5 82 1 6 . 1 7 . 1 8 . 1 9 67 1 10 64 2 1 75 2 2 72 2 3 . 2 4 . 2 5 . 2 6 . 2 7 80 2 8 79 2 9 76 2 10 84 ; Can any help me in coding to fill these missing values with polynomial spline instead of nearest values?
... View more