bjo.bmj18d
Normative data and percentile curves for axial length and axial length/corneal curvature in Chinese children and adolescents aged 4–18 years
Logistic regression was ... The ICC for predicted versus actual was 0.98 for AL and 0.96 for AL/CR. The ICC for predicted vs actual was 0.98 for AL and 0.96 for AL/CR. Using percentiles to estimate ...
BMJ18d
Predicting pressure injury risk in hospitalised patients using machine learning with electronic health records: a US multilevel cohort study
Optimisation methods combined with multilevel logistic regression ... We then predicted the results of the regression model on the validation set. We explored model accuracy using sensitivity and ...
thorax.bmj18d
Using socio-demographic and early clinical features in general practice to identify people with lung cancer earlier
A plot of the chest x-ray frequency ... year of follow-up from 29 July 2009. Risk probability scores were computed for all individuals in the dataset using the β-coefficient values derived from the ...
Frontiers18d
Machine Learning Models for Predicting In-Hospital Mortality in Acute Aortic Dissection Patients
The machine learning algorithms included logistic regression, decision tree ... who was a survival patient but incorrectly predicted to have a high probability of in-hospital mortality (Figure 8B). It ...
Gaming20d
How to Use Statistical Analysis in Sports Betting (2025)
Another type of analysis worth mentioning is the logistic regression analysis ... The other half includes probability distributions, and these are methods that provide the likelihood that predicted ...
BMJ18d
Graphics and statistics for cardiology: clinical prediction rules
The biggest drawback with both of these types of plot is that the choice of ... where the weights are the regression coefficients from the multiple regression model (log odds ratios (ORs) for logistic ...
jech.bmj15d
Impact of lockdown on key workers: findings from the COVID-19 survey in four UK national longitudinal studies
In the logistic regression models, missing covariate values were generated using multiple imputation. For the COVID-19 survey respondents, the probability of response was predicted, and non-response ...