Hosmer Lemeshow goodness-of-fit H statistic was used to evaluate the agreement between the observed and expected number of patients who did or did not die in the hospital across all of the strata of probabilities of death (calibration) [ 26].
gth stratum of x1 (probability P g (x1)) can be written; Apart from the calculation of adjusted prevalence which was done manually, analyses were performed using SAS 9.1 for Windows.
Nevertheless, correction resulted in more accurate fit, evidenced by the lower χ- value of the Hosmer-Lemeshow-Test. Furthermore, while both corrected and uncorrected scores enabled classification of individuals into strata of increasing carriage probability, categorization using corrected scores more accurately reflected actual probability (Table 3).
Assuming the same effects across strata, the probability of finding at least one significant interaction by chance alone when undertaking 20 independent subgroup analyses such as in table 4 is 65% [43].
The Hosmer-Lemeshow goodness-of-fit test was used to evaluate agreement between the observed and expected results across all the probability strata of the outcome of interest (calibration); p >.05 indicates a good fit for the model.
Robust variance estimation was used to allow for the clustered nature of the data and, as described elsewhere, 3, 4 probability weights were incorporated to account for differences in the probability of a woman being selected for inclusion in the study arising from differences in each unit/trust's period of participation and the stratum-specific probabilities of selection of OUs.
Robust variance estimation was used to allow for the clustered nature of the data and, as described elsewhere, 25 26 probability weights were incorporated to account for differences in the probability of a woman being selected for inclusion in the study arising from differences in each unit/trust's period of participation and the stratum-specific probabilities of selection of OUs.
Probability weights were used to account for differences in the probability of a woman being selected for inclusion in the study arising from differences in each unit or trust's period of participation and the stratum-specific probabilities of selection of obstetric units.
We randomly selected hospitals from these volume strata with probability proportional to number of discharges for TKR.
15 For this analysis we included the high probability stratum (>70% probability of developing persistent arthritis).
