We obtain a maximum likelihood predictive density estimate of an inverse Gaussian hazard rate under a length-biased sampling process. The efficiency of the estimate is examined and compared with that of the maximum likelihood estimate of the hazard rate. Kullback-Leibler similarity measures between the true density and its estimate under MLPD and MLE are calculated
