In adjusted analyses of two drug-exposure cohorts categorized using propensity scores, patients treated with rituximab were 35 to 50%% more likely to achieve LDA or remission than those treated with a subsequent anti-TNF agent, although this was not statistically significant in the trimmed population.
Psychologists categorize individuals' propensity towards risk based on harm avoidance, novelty seeking and reward dependence traits.
Individuals, and then races, were categorized in diatheses, including propensity for mental illnesses.
Consequently, patients within the same cluster are more likely to be categorized into the same propensity score stratum.
For the 21 mutations in the patient data sets we analyzed, two mutations were categorized as exhibiting extreme aggregation propensity, 12 of the mutations fit criteria for high-aggregation propensity, six fit criteria as moderate and one fits criteria for low aggregation propensity (see Supplementary Material, Table S1).
In this view, we would categorize high-aggregation propensity as a risk factor for rapidly progressing disease.
Participants were then categorized into strata according to their propensity scores, resulting in covariate-matched individuals in each stratum.
Methods that use propensity scores can be categorized into four categories: matching, stratification, adjusting, and inverse probability weighted estimation [ 36, 53].
The propensity score (either as a continuous variable or categorized according to quintiles) replaced baseline characteristics in the logistic regression.
In theoretical background, personal history, social context, attitudes toward entrepreneurship, planned behavior and personality traits are pointed out as factors that have impact on the propensity to engage in entrepreneurship, and these factors are categorized as internal (personality) and external (contextual or environment).
