Sentence examples for missing endpoint from inspiring English sources

Missing endpoint data occurred when participants were discharged rapidly from hospital.

With help of these variables missing endpoint were predicted and the predicted values were used to replace missing endpoints.

Predicting full behavioral change after the intervention period ends, and thus substituting a missing endpoint, may increase uncertainty compared to using an observed outcome parameter like, in this case, smoking cessation.

Logistic regression analysis will be used to compare at day 28 (and then day 42) the proportion of ACPR in patients for which the endpoint has been determined, excluding those lost to follow-up or with missing endpoint.

The EPIC-Potsdam cohort recruited 27,548 participants between 1994 and 1998 and was based on general population registries.In total, 1,861 individuals with type 2 diabetes were identified at baseline; 239 patients had a history of CVD or missing endpoint measurements and were excluded.

Furthermore, participants with self-reported energy intake in the bottom (p1) or top (p99) sex-specific percentile (men, 4.6 MJ–15.3 MJ; women, 3.5 MJ–11.4 MJ) (230 men; 279 women), missing BMI (20 men; 23 women), and missing endpoint data (systolic blood pressure; 24 men; 36 women) were excluded, resulting in a sample size of 24,885 (11,252 men; 13,633 women; see also Fig. 1).

However, a notable drawback of a binary representation of interaction data is that missing endpoints for non-interacting drug target pairs are not differentiated from inactive cases, and that predicted levels of activity depend on pre-defined binarization thresholds.

In this analysis the missing endpoints will be assumed to be treatment failures, e.g., 'new decay'.

In such scenarios some of the missing endpoints may not be missing at random, and so sensitivity analyses to assess how the meta-analysis results change under a variety of missing data assumptions would be potentially valuable [ 34].

Therefore, all participants were analysed in the condition to which they were randomised, and missing endpoints at follow-up were imputed using a regression model with the best available predictors of outcome and the best predictors for dropout.

A total number of 540 children (180 SAM and 360 non-SAM) would allow to detect a minimum difference of 8%% in ACPR proportion (87 % in SAM versus 95%% in non-SAM children), with a statistical power of at least 80%% and a 2-sided significance level of 5%%, and 15%% expected missing endpoints.