The phrase "analyses the inverse of" is correct and usable in written English.
It can be used in contexts involving mathematical or analytical discussions, particularly when examining the opposite or reciprocal of a function or concept.
Example: "The researcher analyses the inverse of the original equation to determine its effects on the overall model."
Alternatives: "examines the opposite of" or "studies the reciprocal of".
In the sex-stratified analyses, the inverse associations of U-As with child weight were present only among the girls.
These meta-regression analyses were weighted by the inverse of the standard errors of the marginal effect estimates.
Weighted analyses were adjusted by the inverse of the participant's probability to be missing on the outcome.
All analyses were weighted by the inverse of the sample fractions in the study sampling strata using methods for the analysis of complex sample survey design data (7).
When trials in meta-analyses are weighted by the inverse of the variance of the effect measure (the weighting scheme generally used for MD and SMD), the pooled SMD has the unfavorable statistical property of negative bias (i.e. towards the null value) [ 5, 6].
To explain possible moderation of the variability of the overall effect sizes, we examined the relation between sample, methodological, or condition characteristics and magnitude of effect using a modified weighted least squares bivariate regression analyses with weights equivalent to the inverse of the variance for each effect size.
Because we had a screen-stratified sample, to arrive at the correct estimations for the population, we conducted weighted analyses using weights proportional to the inverse of the probability of being selected as a subject (i.e., low screen scorers were "weighted up" and high scorers were "weighted down").
Analyses were weighted, and weights equaled the inverse of the exact probability of selection.
For the analyses patient numbers were weighted by the inverse of their probability of selection to adjust for differential sampling.
Analyses were repeated with weighting by the inverse of the probability of participation in the examination, thereby giving more weight to participants who resemble nonparticipants (28).
