Sentence examples for model of receipt from inspiring English sources

*Estimated from logistic regression model of receipt of procedure at safety net hospital with covariates of patient age, sex, Charlson comorbidity score, and difference in distance between residence zip code to nearest safety net hospital and to nearest non-safety-net hospital.

Propensity scores, which reflect each pregnant woman's predicted probability of receiving intrapartum antibiotics given a set of observed covariates, were created by a logistic regression model predicting receipt of antibiotics as a function of baseline characteristics and maternal risk factors.

However, in the model explaining receipt of services paid for by family members, none of the variables capturing informal caregiving resources were statistically significant.

For the model with receipt of osteoporosis medications as outcome variable, independent variables included were age category, fracture history, fracture diagnosis timing, BMD measurement and type of payment.

First, the set of exposure variables (e )–(r ) above were included in an initial multiple logistic regression model with receipt of FD as the outcome measure.

Secondly, adjuvant chemotherapy status was included in the regression model because receipt of adjuvant chemotherapy could affect whether a patient received post-surgical radiation.

Then we included the goals, along with age, and hormone receptor status (defined as estrogen and progesterone receptor positive or not) in a multivariable logistic regression model, with receipt of chemotherapy as the dependent variable.

32 The propensity score, defined as the conditional probability of receiving the vaccine given the measured confounders, 33 will be estimated from a logistic regression model with receipt of vaccine as the dependent variable and including all variables considered to be potential confounders as independent variables.

In the second model, receipt of TURP or use of radiation treatment were associated with a lower likelihood that an incident GnRH agonist user lacked a diagnosis of prostate cancer in the SEER program.

Using these models, we estimated the predicted probability of receipt of guideline recommended treatments and death at 30 days after hospital admission for each patient and summarised these at the hospital level to obtain the expected hospital proportions.

Therefore, in the final model, receipt of ART was used for adjustment instead of CD4 counts.