Sentence examples for minimizing bias from from inspiring English sources

The new user design also assigns a chronological reference point, time zero, for each member of the study and comparator cohorts from which follow-up time begins, thereby minimizing bias from immortal time.

This modeling approach accommodates missing data and allows for the use of all data points available to estimate a model, potentially minimizing bias from missing data [ 18].

LPSF are non-parametric and data-adaptive functions [ 35, 36] that are flexible in displaying an association without prior assumptions about its shape, gradient, or monotonicity, while minimizing biases from misspecification that could be introduced by traditional modeling applications.

We attempted to minimize bias from 'contamination' effects – for example, if participants from control clinics switched to intervention clinics to take advantage of additional clinical services.

Analysis of these data cited above [11] [12], [15] have utilized the imputation algorithm described below (Strategy 3) to assign location to the remaining 2089 cases, and minimize bias from missing cases.

However, in daily diagnostic work, the occurrence of TILs is known to be quite homogeneous and while one tumor punch was sampled in the Test Group, the additional inclusion of a validation cohort with an average of 4 tumor punches per tumor sampled should minimize bias from possible tumor heterogeneity [33].

In this study we use only the first 18 months of the journal data to minimize bias from attrition.

15 fall videos were selected randomly (using a random number generator to minimize bias) from our database.

The careful control of potential confounders is intended to minimize bias from reverse causation or unmeasured confounding.

Also, interim analyses should preferably be pre-specified in the trial protocol to minimize bias from unplanned analyses [ 1].

A commonly recommended way to minimize bias from non-participation is to increase participation, in the hope of minimizing systematic differences between participants and non-participants.