Given the presence of correlated data, we applied Generalized Estimating Equation (GEE) multivariable models to determine associations.
Given the presence of missing data, we used a χ2 analysis (SPSS for Windows v. 15.0, Chicago, IL, USA) to determine if those patients with missing data were differentially more or less likely to present to the ED.
Given the presence of longitudinal data, we will use an autoregressive mediation model to evaluate the mediation effect of patient activation.
In mental health services research, analyzing service utilization data often poses serious problems, given the presence of substantially skewed data distributions.
Given the presence of suicidality, we prescribed lithium again.
Thereby, the presence of data can depend on the presence of other data and also on other data values.
To test whether MV has a greater effect on overall survival if given in the presence of maternal measles antibody, we reanalyzed data from 2 previously published randomized trials of a 2-dose schedule with MV given at 4 6 months and at 9 months of age.
Multiple imputation based on weight and response, full maximum likelihood modelling using information on weight and full maximum likelihood modelling where the proportion of males among the individuals lacking information about sex was estimated (EST) gave precise and unbiased estimates in the presence of missing data when data were missing completely at random or missing at random.
Hence, the use of MLE or MQLE in the presence of contaminated data may give misleading results.
Via a case study from Bronze Age Crete, we extend the analytical range of this model by suggesting ways in which it can (a) remain effective in the presence of missing data, (b) be given a stronger grounding in the physical landscape, and/or (c) be used to consider the evolutionary trajectory of settlements and physical routes over time.
Data is more powerful in the presence of other data.
