The phrase "analysis lost" is not correct and does not convey a clear meaning in written English.
It may be intended to express a situation where analysis has been compromised or is no longer available, but it lacks clarity and context.
Example: "After reviewing the data, it became clear that the analysis lost its significance due to missing information."
Alternatives: "analysis compromised" or "analysis abandoned".
Freudian analysis lost its hold on the common consciousness, as well as in psychiatry, and some of Freud's language lost its power.
The old bill — which had a 17percentt approval rating and would have left 24 million more people uninsured, according to a Congressional Budget Office analysis — lost moderates concerned about coverage losses, as well as hard-line conservatives who thought it didn't go far enough in rolling back the Affordable Care Act's regulations.
Monetarism's policies and method of analysis lost influence among central bankers and academics, but its core tenets of the long-run neutrality of money (increases in money supply cannot have long-term effects on real variables, such as output) and use of monetary policy for stabilization became a part of the macroeconomic mainstream even among Keynesians.
Furthermore, virologic control (independent of AIDS progression events) was nearly identical in the two arms; 71 immediate ART and 72 deferred ART subjects achieved a viral load of <50 copies/mL at week 48 based on a standard ITT analysis (lost or death by week 48 = fail).
In the third sensitivity analysis, lost productivity costs were calculated according to the human capital approach.
Serum vitamin D, which was borderline significant in univariate analysis, lost its significance in multivariate analysis.
The Court's "combination" analysis loses sight of this underlying theory behind our cases and, unfortunately, substantially undermines our precedents.
But it is now known that when the relevant variables are as closely related as frequency, age of acquisition (AoA), and familiarity, regression analysis loses efficacy.
Due to the nature of microarray experiments, classical tools for time series analysis lose power since the number of variables far exceeds the number of the samples.
All of the studies applied ITT analysis (loses to follow-up were considered as smokers).
The direct effect of educ4, which is significant at the 5%% level in the main analysis, loses its statistical significance.
