"increased sample size" is a correct phrase and can be used in written English.
It refers to the act of expanding the number of participants or data points in a study or experiment. Example: The researchers found that increasing the sample size of their study led to more accurate and reliable results.
The bias decreases with increased sample size and the increased level of the validation probability.
The first experiment was designed as a matched case-control study to adjust variables with an increased sample size.
Combining different state inventories prior to PRI model development increased sample size and diameter class representation while regionalizing the models.
Nevertheless, a further study with an increased sample size is needed to tease out the impact of these different methodologies in addition to other technology-based ones.
Interim analyses of PROWESS-SHOCK lead to increased sample size because of lower than expected blinded mortality [23, 24].
The present study could have benefitted by an increased sample size and examining several more variables that could confound growth.
A simple quantitative model explains these dependencies.Our strength-duration time constant estimate compares well to published values and may be more accurate given increased sample size and enhanced methodology.
Thus, the exact role of this phylum and its functional contribution remain unclear, and further studies with an increased sample size should be conducted.
The benefits of an increased sample size outweigh the disadvantages, through developing a more reliable sampling group by combining the two subgroups.
To further validate the results, similar studies with an increased sample size are needed.
In our ongoing validation study, we have significantly increased sample size and included different subtypes of breast cancer.
