The phrase "assumed that studies" is correct and usable in written English.
It can be used when discussing a belief or conclusion drawn from research or academic work.
Example: "In the research paper, the authors assumed that studies conducted in the past would yield similar results in the current context."
Alternatives: "presumed that research" or "believed that studies".
Therefore, it is assumed that studies about the life cycle can clarify useful aspects for the management, until now little investigated, mainly those concerned with the mortality factors of small businesses.
We therefore assumed that studies describing vaginal washing, cleansing or insertion meant practices that affected the vaginal mucosa beyond the introitus and not just the vulva.
It is assumed that studies provide a random sample from the universe of all possible studies.
We assumed that studies that did not state the age had included participants of all ages.
It cannot be assumed that studies in the cardioprotection field would fare much better.
We assumed that studies that used multiple measurements of microscopy were likely to report this, given the relevance of this additional effort.
Before starting his degree course, 38-year-old mature student Marc Tyler, now in his final year at Liverpool John Moores University, had assumed that studying law would require developing an encyclopaedic knowledge of English law, and memorising thousands of pieces of legislation and cases.
We used a fixed-effect model which assumes that studies included in the meta-analysis should share a common effect size, since patients' characteristics and the evaluated intervention are similar in all studies.
We are assuming that studies comparing castration with Zeuterin will show the impact it can have.
The fixed-effects model using the Mantel–Haenszel method, assumes that studies are sampled from populations with the same effect size, making an adjustment to the study weights according to the in-study variance.
This model captures the between-study variability in sensitivity and specificity by assuming that studies belong to one of a small number of latent classes.
