Analyses accounting for such baseline risk revealed a complex effect of diabetes.

These patients had worse outcomes, despite adjustment for baseline risk factor differences.

So even if that baseline risk is increased, it is still quite small.

The analysis was adjusted for baseline risk of ALRI and diarrhoea, seasonality and age.

Analyses were stratified by sexual orientation to account for differences in baseline risk behaviours.

The methods presented extend naturally to heterogeneity in other model inputs, such as baseline risk.

Improvement was also noted in assessment and documentation of baseline risk, chemical coping, and toxicity.

We adjusted for baseline risk differences using a standardized risk adjustment score for surgery for CHD.

Logistic regression analyses were used to identify baseline risk factors for accelerated cognitive decline within the diabetes group.

All models consistently show that MIPD may be a study design with extreme heterogeneity of patient baseline risk.

HRs were not attenuated by adjustment for baseline risk factors or changes in blood pressure during the trial.

Results: Patients presenting later after symptom onset were older, more likely to be female, and have higher baseline risk.

Aims: Interpreting the results and practice implications of clinical studies requires accurate characterisation of the baseline risk of the population.

Analyses with pulmonary edema as the endpoint support the significant risk conferred by diabetes and its interaction with baseline risk.

We recruited prospectively 2203 women at high risk of fetal aneuploidy and 1807 at baseline risk.

Conclusion: Among other clinical parameters, discordance between baseline risk and treatment selection appears to be a significant predictor of outcomes in UC.