Sentence examples for data propensity from inspiring English sources

These include different methods matching on individual covariates, some form of regression analysis using cross-sectional or longitudinal data; propensity score analysis either through matching, or regression modelling using the propensity score as a covariate; difference-in-differences approaches; and instrumental variables analysis.

Of 681 (28.7%) missing values on smoking at baseline, 520 values were imputed using the missing data propensity score method.

Three widely used MI methods are predictive model method (logistic regression method for binary data), propensity score method, and MCMC method [ 20].

From 2659 people with available data, propensity score matches were achieved for 686 people starting premix or basal insulin, 542 starting basal + mealtime or premix insulin and 400 starting basal or basal + mealtime.

Although propensity score methods have become increasingly popular in medical research over the past three decades as an effective tool for reducing selection bias in making causal inference based on observational data, propensity score matching (PSM), as a crucial step in propensity score methods, still has limitations [ 2].

Finally, some might argue that instead of using univariate and multivariate logistic regression analyses, we should have analysed the data by propensity scores and propensity score matching.

(Acxiom said that the site includes the "core" facts it has collected about consumers, but that it might add "derived" data, like propensity for gambling, at a later date).

While matching methods are common in the international literature, this paper is one of the few studies of its kind for Canada to use both longitudinal data and propensity score matching on the difference in wages before and after employer supported course enrollment.

Other methods of examining missing data (eg, propensity scores and multiple imputation) will be considered in sensitivity analyses.

This study uses US administrative claims data and propensity score matching (PSM) to compare relapse rates and time to relapse among patients with MS using either platform therapy or natalizumab.

This study proposed to: (1) determine factors that predict survival following PD, (2) examine the benefit of adjuvant CRT by risk group, and (3) account for biases associated with treatment selection of adjuvant CRT in retrospective data through propensity score analysis and matched-pair analysis.