Sentence examples for death probabilities for from inspiring English sources

For example, Lauderdale and Kestenbaum (2002) have used data from the US Social Security Administration for estimating age- and sex-specific death probabilities for the elderly of six Asian American subgroups, avoiding numerator/denominator bias when these are provided by different sources.

We choose numbers for death probabilities for normal/overweight and obese populations such that there is a higher chance of death for the obese, but the average for the entire population corresponds to the expected death probabilities in the tables.

No impact of combination treatment on mortality having been actually observed in the study by Lopez et al. [ 9], it was therefore decided to use the same death probabilities for institutionalised and non-institutionalised patients in the model.

Transition probabilities for some stages and, in particular, early stages of cirrhosis, seemed unexpectedly high in our study (i.e. annual death probabilities for patients with compensated cirrhosis were 10- to 24-fold higher in our study than that found in the medical literature in developed countries [ 8]).

37 We used a time dependent model to estimate the additional length of stay and mortality attributable to MRSA infections, giving unadjusted daily discharge and death probabilities for patients with and without MRSA infection (see web extra table A2.2 and appendix 2).

If an IVIG-treatment lapse occurs, then we assume the PID patient becomes subject to the untreated monthly death probability for the time of the lapse.

Calculation of the hazard ratios portended a 33% and 41%-risk reduction in recurrence and death probability for patients treated with HD-VIP compared to standard cisplatin chemotherapy.

In contrast, transition probabilities for other stages such as late stages of cirrhosis seemed to be lower in our study (i.e. annual death probability for patients with first cirrhosis decompensation were 1- to 2-fold lower in our study [ 8]).

The regression model we estimated was logit (π i ) =   β 0 + β 1 B M I p 1 + β 2 B M I p 2 +   β 3 A G E q 1 + β 4 S M O K E   where π i was the 5-year death probability for individual i, p1 and p2 were the fractional powers for BMI, and q1 was the fractional power for age.

4. The male/female ratio among new medical school graduates was assumed to be constant and, on average, equal to the average ratio during the last decade (2000-2009) [ 14]. 5. Medical doctors were assumed to die in accordance with the death probabilities reported for persons of the same sex and age category in the Complete Life Table [ 15]. 6.

Discriminatory abilities of the models were assessed by area under the receiver operating characteristics (ROC) curves (AUC) for death probability calculated for each subject.