"deceptive results" is a correct and usable phrase in written English.
You can use it when referring to results or outcomes that appear to be one thing but are actually something else. For example, "The deceptive results of the survey indicated a high approval rating for the candidate, but further inspection showed that the sample size was too small to be accurate."
When ramp mode was used for controlling the temperature, adsorption/desorption phenomena led to deceptive results of catalytic conversion.
Analysis of these studies is usually governed by logistic regression (LR) which is however often applied quite uncritically resulting in unclear or even deceptive results.
A novel approach has been developed for the study of the effects of pH and additives with minimum protein shock that may cause premature aggregation and deceptive results.
Resuscitative technology can produce deceptive results and create uncertainty in determining life from death.
However, as seeding densities often greatly vary between different laboratories (10 to 10 cells/cm) and also confluence at the time of harvesting [ 5, 2, 17, 18], the sole recording of passage numbers may lead to deceptive results in order to compare the state of senescence under non-standardized conditions.
Forget this slightly deceptive result, the time is surely right for Pulis to remember that fortune often really does tend to favour the brave.
As a result, inaccurate or even deceptive diagnostic results would be produced and lead to an inaccurate or even totally wrong clinical decision making.
Deceptive laboratory results have been obtained in studies of chemical recognition in vertebrates.
To some extent the following discussion considers the relationships among the four factors separately; but in reality the deceptive, optical effect results from the interaction of all four factors.
Different forms of fraud (e.g., fabrication and falsification of data, deceptive reporting of results, suppression of data, and deceptive design or analysis) had been observed in fairly similar numbers.
The usual types of misconduct include fabrication and falsification of data, plagiarism, deceptive reporting of results, suppression of existing data, and deceptive design or analysis [ 4, 6].
