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Measurement error models offer a flexible framework for modeling data collected in studies comparing methods of quantitative measurement. These models generally make two simplifying assumptions: (i) the measurements are homoscedastic, and (ii) the unobservable true values of the methods are linearly related. One or both of these assumptions may be violated in practice. In particular, error variabilities...
Repeated measurement designs have been widely used in various randomized controlled trials for evaluating long‐term intervention efficacies. For some clinical trials, the primary research question is how to compare two treatments at a fixed time, using a t‐test. Although simple, robust, and convenient, this type of analysis fails to utilize a large amount of collected information. Alternatively, the...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.