Sentence examples for decrease sample size from inspiring English sources

Although, typically, the 95th percentile is used a 90th percentile boundary may decrease sample size bias [21] and handle poor convergence of area estimates with increasing sample size better.

The increased statistical power of CAT analyses will decrease sample size requirements for studies, and accordingly, smaller number of patients will be put on placebo (or comparator therapy).

Epidemiological analyses techniques to avoid confounding (e.g. propensity score matching or matched-pair analysis) might lead to selectively choosed patients and thereby additionally decrease sample size within certain groups.

Further matching for factors known to influence perception of the neighborhood could be considered in reliability analyses but would limit generalizability of the results and, at least in the present study, decrease sample size.

One approach to dealing with missing historical exposure data is to restrict analysis to a subset of the study population with complete data, but such a restriction can decrease sample size drastically and raises questions about applicability of results to the entire study population.

Neutral detergent fiber, ADF, CP, and NDFD all increased with decreasing sample size, while IVTD and starch decreased with decreasing sample size.

As a rule, with decreasing sample size, the effective macroscopic stiffness and strength of Voronoi samples decrease under compression and bending, and increase under shear and indentation.

Development is continuing along these lines, aiming to expand the types of datable materials and improve accuracy and precision, whilst decreasing sample size and cost.

The stress required for twin propagation was found to increase with decreasing sample size, showing a typical "smaller is stronger" behavior.

The historical wind records and available meteorological stations, however, are often short and insufficient or unavailable; a decreased sample size increases the uncertainty in the estimated quantiles.

Multivariate predictive mathematical models for biochemical recurrence after radical prostatectomy by decreasing sample size and time to clinical outcomes maximize trial efficiency and identify the patients most likely to benefit from secondary prevention.