Methods, systems, and computer program products appraise the quality of resistivity LWD data inversion and related earth models. The appraisal uses several quality factors, including signal-to-noise ratio, noise-to-signal ratio, data importance, model parameter importance, and model parameter confidence interval for the resistivity LWD data inversion and related earth models. These quality factors allow a user to determine which data provides useful information, which parts of the earth model may be relied upon, and conversely which parameters in which parts of the model may need to be modified. Such an arrangement is particularly useful in distance-to-bed-boundary (DTBB) inversion for geo-steering and formation evaluation.