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Other missing data will be handled using methods of multiple imputation.

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Calculation of the partition function (11) is not needed for sampling and majority voting, i.e. for almost any practical application, but we did this for the purposes of assessing P(real seq| M); for more complex future incarnations of the model this in turn may need to be handled using sampling methods (Wang and Landau, 2001).

Missing values will be handled using the method of multiple imputations [ 30].

Missing data will be handled using multiple imputation methods.

Uncertainty will be handled using standard statistical methods and the non-parametric bootstrap.

However, in this study contacts are mainly on email, hopefully to prevent attrition bias, and missing data will be handled using appropriate statistical methods.

Owing to an expected high number of dropouts, the censoring due to death and missing data due to possible loss to follow-up will be handled using maximum likelihood methods.

Tied survival times can be handled using Breslow's method (1972) [ 14].

Missing values will be handled using the multiple imputation method, on the assumption that values at each time point follow a specific distribution calculated by the computer software R project (V.2.15.3, http://www.R-project.org/).org/

Multiple testings will be handled using the Benjamini and Hochberg method 86 with a nominal α set at 0.05.

Missing data will be handled using the Last-Observation-Carried-Forward (LOCF) method.

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