Sentence examples for avoiding selection bias from inspiring English sources

The list includes avoiding selection bias, deciding whether to analyze a given event in terms of frequency or magnitude, describing probabilistic effects using a "fraction of attributable risk" or a "risk ratio" rubric, and quantifying uncertainty, among others.

Challenges include identifying a target population, avoiding selection bias in the face of clinician and patient denial of serious illness, developing eligibility criteria for a seriously ill population, minimizing high patient refusals due to illness, and accurate reporting of all screened and eligible participants.

In these investigations, the data collection is begun at a predefined time point, consecutive cases are included avoiding selection bias and patient exclusion, and the data are uniformly collected for all surgeries throughout the duration of the study.

The aim of our study was to estimate annual incidence rates and in-hospital mortality trends for hospitalized patients with sepsis in a European setting, while avoiding selection bias in relation to different complexity hospitals.

Major strengths of the present study are that all pregnant women in a certain period were invited prospectively, thereby avoiding selection bias, and that the number of women answering the questionnaires (from n = 2,126 for Q1 to n = 1,273 for Q3) and migraineurs volunteering to fill in calendars (n = 208) are the largest published so far for this type of study.

These patients represent the entire population, thus avoiding selection bias.

The schools and the subjects were randomly selected to avoid selection bias.

To avoid selection bias, patients with heart failure are selected electronically from the medical records.

To avoid selection bias, the set of significant features were re-selected based on samples only in the training set in each cross-validation round.

To avoid selection bias, the ORs to be observed were randomly selected ("picking from a hat") each morning.

These subjects were selected by combining previous and current adherence level criteria to avoid selection bias.