The phrase "analyses successively" is correct and usable in written English.
It can be used when discussing a process of examining or evaluating multiple items or subjects in a sequential manner.
Example: "The researcher analyses successively the data collected from each experiment to identify patterns and trends."
Alternatives: "examines in sequence" or "evaluates one after another".
During initial model testing we included environmental (temperature, relative humidity, wind speed, percent cloud cover) and landscape variables (elevation, distance to nearest forest fragment) as covariates in the analyses, successively eliminating the least significant covariates until only those with significant explanatory power remained.
Previous investigators recommend conducting a series of sensitivity analyses, successively truncating the weights to evaluate variation in the results.
Two-group analyses successively grouped different combinations of northern vs. southern regions together to test all possible single break scenarios (with the exception of the southernmost due to very small sample size for the single small southern population that would constitute one group; see Table 3 for all AMOVA comparisons).
To this end, two different sample sets were profiled after which the same ProteinChip arrays were analysed successively by both instruments.
Analyses that successively excluded risk sets with short progression intervals revealed the same pattern of risks.
The results of the separate stratified analyses were successively assessed with Poisson additive models (Wood, 2006), including main effects, interaction terms, and non-linear temporal trends simultaneously.
Analyses then successively compared the profile of deceased patients in NH and HHS, with and without cancer, and presenting with or without mental disorders as a component of their situation.
Next, we conducted bivariate and multivariate analyses using successively admission to neonatal intensive care unit within 24 hours (NICU), 1 minute Apgar score inferior to 7, and perinatal mortality as the dependent variable.
Substructure screening, computer-aided ligand docking, binding free energy calculations, and partial interaction energy analyses were performed successively to identify chemical compounds which could serve as different scaffolds from known β-secretase inhibitors for future drug design.
Analyses were adjusted successively for age, sex, total energy intake (Model 1), and health behavior: smoking and physical activity (Model 2).
Small-angle X-ray diffraction patterns were recorded for a number of high-density polyethylene samples and were successively analysed by a fit with the calculated patterns corresponding to certain theoretical models.
