Sentence examples for visits equation from inspiring English sources

Exact(1)

We start by considering that all individuals have the same number of visits (equation 4) – that is, from a balanced dataset – and we then account for a situation in which there are different numbers of visits for individuals (unbalanced dataset) (equation 5).

Similar(59)

Proofs for equations 4, 5 and 6 can be found in Supplementary Materials Section 3. At this stage we point out a salient fact that if every individual has the same number of visits, then by equation 2, SHAVE will be the Average multiplied by a constant factor (kw/(1+ kw)), which implies that zSHAVE is identical to zavg, also indicating that SHAVE will have the same power as the Average.

This allows the event to take place at any time during the interval time and is not fixed to the time when the patients visited the clinic (equation 9).

When the profit motive is removed from the equation, video visits as a supplement to regular visits can be a great thing.

To understand associations with consistent condom use during 3- and 6-month follow-up visits, separate generalized estimating equation (GEE) models were used to estimate odds ratios for consistent condom use among IDUs by partner type.

Kim Jong Il could change the equation by visiting Seoul, by agreeing to and acting on a permanent site for reunification of separated families, or by truly going to work on reconnecting the railroad between North and South.

We examined utilization differences for primary care, specialty care, and mental health outpatient visits using generalized estimating equations.

This model predicts the PE by integrating the time fraction spent in each microenvironment times the concentration of each microenvironment visited as reflected in Equation 5.

The insulin sensitivity score was calculated from variables measured at the study visit using the following equation: This equation was developed and validated using direct measurements of glucose disposal rate from euglycemic-hyperinsulinemic clamps conducted among 85 of the 2,401 SEARCH participants included in this report and 22 matched nondiabetic control subjects (21).

To confirm the one- and the two-factor models we conducted Confirmatory Factor Analyses (CFA) with follow up visit data using structural equation modeling for each country sample separately and across all countries pooled (see Additional file 2 for the Path diagram of the CFA).

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