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We were also able to study effects in patients having different treatments by dividing observations into different disease/treatment groups using data gathered within the studies at different time intervals (Table 1).
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12, 21 The Lin 1997 estimator was the first to be described and is based on dividing observation time into a number of equal intervals.
The second quartile (Q2), otherwise known as the median, divides observations into 50 50 % proportion.
We divide observations into high (low) industry competition sub-groups based on the median value of industry NPM and test the interactive effect of ATPs on bidder returns.
The first quartile (Q1) divides observations in respect of 25 75 %, which means that 25%% are lower or equal to Q1, and 75%% of observations are equal or greater that Q1.
Hierarchical algorithms use an n × n similarity matrix to recursively form nested clusters over all possible values of K. Partitional algorithms divide observations into a user-defined number of clusters and utilize an n × n similarity matrix or an n × m matrix of observations, where n observations have m attributes or data dimensions.
While the conventional clustering method divides observation into clusters, the VARCLUS produces readily interpretable disjoint clusters [ 27].
To evaluate changes in urinary albumin excretion for each patient, we divided observation time into three 2-year intervals.
Five different models were constructed by dividing the observations into different sets: Inflamed, non-inflamed, controls, CD and all samples.
However, when we divide the observations into males and females, we observe that girls are driving the lack of effect.
CODE divides all observations from a given day into 12 sessions, and each session contains 2 h of data.
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