Sentence examples for size of missing from inspiring English sources

Exact(1)

If we set the mean effect size of missing studies at.001 and define the threshold for a "trivial" effect size to be.01, then the Orwin Fail-Safe N for our database is 544 studies.

Similar(59)

What's more, since the relatively small size of missed adenomatous glands could always lead to a high rate of re-operation in whom major anaesthesia risks are frequent, the surgeons need to get a general preoperative assessment not only about the localization but also the influence of parathyroid mass on PTH secretion.

Inclusion of environmental contaminants decreased our final models' sample size because of missing participant data.

Covariates were not included in the model if they substantially decreased the sample size because of missing data.

Study data were extracted in duplicate on design, sample size, handling of missing data, reference to the original study developing the prediction models and predictive performance measures.

For categorical variables, the description will consist (at minimum) of the sample size; numbers of missing data; valid data, median, upper and lower quartiles; and the frequency and percentage of each category.

Although the majority of respondents had a regular medical doctor (66%), a usual source of outpatient care (90%), and a provincial health card (93%, 400% reported unmet healthcare needs.> -wrap-foot> Column totals may not add to the total sample size because of missing data.

Pairwise deletion was chosen to minimize losses of sample sizes because of missing character data.

Each potential confounder was considered separately in the models to take account of the impact of changing sample sizes because of missing data for the different confounders assessed.

Comparing our imputation accuracy results with those of other studies is difficult because each study uses different populations of different sizes, levels of missing data, MAF distributions, and levels of LD between markers.

Benchmarking diagrams: For the identification of problematical areas, python-scripts (using matplotlib [ 8]) extract and evaluate the network data over night and display the results in one Plsek's p-chart per item per unit accompanied by a table with information on collective size, effect size and number of missing entries [ 9, 10].

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