Biologic drugs (therapeutic proteins or peptides) have become one of the most important therapeutic modalities over the past few decades. Drug-induced immunogenicity is a significant concern as it may affect safety, tolerability, and efficacy. With more sensitive and drug-tolerant screening assays in use today, reliable estimation of anti-drug-antibody (ADA) titer has become more important for understanding clinically relevant ADA levels. Titer is commonly defined as the dilution factor resulting in an assay signal equal to a pre-specified cut point factor. Given its influence on the resulting titer precision, the choice of a titer cut point factor warrants careful consideration. In this paper, we discuss the theoretical dilution model, investigate how titer variability depends on the cut point factor and propose a standardized cut point factor to increase precision of titer estimates. Additionally, we demonstrate that non-linear regression-based titer estimation provides both improved precision and implementation efficiency relative to commonly used estimation approaches.