Sentence examples for important sample size from inspiring English sources

Outcomes of interest, statistical methods, baseline data, number of participants analyzed, and effects found (Consort items 6, 8, 12, 15, 16, 17, and 18) are presented in Table 2. Table 3 presents elements of study validity found to be important: sample size, recruitment, random allocation, blinding of assessor, participant flow (Consort items 7, 14, 9, 11, and 13).

One important caveat: sample size is a major constraint.

This effect is increasingly important as sample size decreases.

More important, retrospective sample size calculations showed that none of the five metaanalyses included an adequate number of person years of observation to rule out false-negative results.

For the more common scenario where researchers wish to produce a multivariable prognostic model and all model variables are potentially equally important, basing sample size on the significance of numerous individual variables is likely to be an intractable problem.

This maximized sensitivity is especially important, because sample sizes of in vivo sources of DNA are typically limited and adduct levels are low.

Estimation of the effect size or minimally important effect of intervention is another important consideration for sample size calculation.

In addition, the treatment groups were not balanced for important potential confounders, and some observational studies did not provide important data as sample size and/or standard deviations.

This chapter discusses the factors important for deciding sample size.

These qualitative factors are important because a sample size of 16 elections since World War II is insufficient for persuasive statistical evidence.

These qualitative factors are important because a sample size of 16 elections since World War II is insufficient to provide for persuasive statistical evidence as to which economic indicators (from among dozens or hundreds of credible candidates) are really best for predicting election outcomes in the long-run.