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Such studies require recording multiple observations for individual attributes at each field location to capture the inter-site variability and automatic computation of their statistics.
Time-lapse geophysical monitoring technology carries out multiple observations for the same stratum at certain time intervals to study the temporal-spatial variations of stratigraphic features, which can be repeated multiple 2D observations or repeated multiple 3D observations.
The potential protective association was not consistent over the study period or across subgroups based on health status, propensity score, or when we excluded multiple observations for each individual.
These protective effects attenuated substantially after multivariate adjustment and when we excluded multiple observations for each individual, declined over time, differed across propensity score quintiles and risk groups, and were unchanged during post-influenza season periods.
Standard errors were calculated using an exchangeable correlation structure, adjusted by multiple observations for each individual.
Because we are performing these analyses at the dyad-level, there are multiple observations for each ego.
Similar(47)
We use generalized estimating equation (GEE) procedures to account for multiple observations of the same ego across ego-alter pairings [28] and we assume an independent working correlation structure for the clusters [28].
35 49 We used generalised estimating equation procedures to account for multiple observations of the same ego across waves and across ego-alter pairings.
Random intercepts were introduced into the models at the participant level (level 3) and at the outcome level (level 2) to account for multiple observations from each participant and multiple measures of outcome mapped to a single exposure.
Comparisons of the number of AB+, MUC2+, lysozyme+ in the intestine were performed between WT- and TSC2-mutant mice using the linear mixed model to account for multiple observations from multiple crypts per mouse.
A random effect probit model was used for the estimation [ 51], to represent the distribution of the error term that was assumed normal, and also to account for multiple observations from a single respondent.
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