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Primary effects will be calculated using multilevel regression analysis, for somatic and DSC units separately.
Secondly, risk differences yielding numbers needed to treat (NNT) will be calculated using (multilevel) regression models to be adjusted for research centre and employment in the year preceding the study.
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Adjusted incidence rate ratios (aIRR) were calculated using multilevel Poisson segmented regression accounting for stepwise changes in MRSA level and changes in log-linear trends associated with the interventions.
The ICCs for continuous and ordinal variables were calculated using multilevel package and ICC estimates for binary variables and boostrap confidence intervals were calculated using aod package in R. ICCs and 95% confidence intervals (CIs) were calculated for 429 heart failure patients (CP, n = 214 and UC, n = 215).
The overweight/obesity prevalence decreased by 2.3% after 12 weeks in intervention group, compared with the increase in control group (1.7%), but the difference was not significant (P = 0.370).> -wrap-foot> aAdifferencefference was calculated using multilevel model adjusted for sex and age.
Trends in incidence rates in LINH were calculated using multivariate multilevel repeated models for count data.
Risk-adjusted centre variations of interventions and morbidities among high-risk infants were calculated using a multilevel analysis.
A synthetic measure of weekly wage was calculated using a multilevel random effects model of wage predicted by a Standard Occupational Classification SOCC) fitted in data from the UK Labour Force Survey (years 2001 2010)a.
The sample size needed in the COMPAS study is calculated using the method for multilevel analysis according to Twisk.
Because these simulations cannot be performed in multilevel data, the unilevel equivalent of the n of the multilevel data set was calculated using the following formulaes [ 40]. (1) MF = 1 + 9 – 1 * 0.6 = 5.8 (2) uen = 51 * 9 / 5.8 = 79 In which 9 is the number of assessments per person, 51 is the number of persons and 0.6 is the intra class correlation.
Multilevel growth models were calculated using PROC MIXED SASS, v9.3, Cary, NC) to estimate the alcohol use patterns in a series of three steps.
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