### Table 4 ARMD trial

2007

"... In PAGE 17: ...ared. For the observed, partially incomplete data, GEE is supplemented with WGEE. Further, a random-intercepts GLMM is considered, based on numerical integration. The GEE analyses are reported in Table4 and the random-effects models in Table 5. For GEE, a working exchangeable correlation matrix is considered.... In PAGE 19: ... The advantage of having separate treatment effects at each time is that particular attention can be given at the treatment effect assessment at the last planned measurement occasion, that is, after one year. From Table4 it is clear that the model-based and empirically corrected standard errors agree extremely well. This is due to the unstructured nature of the full time by treatment mean structure.... In PAGE 20: ... The results for the random-effects models are given in Table 5. We observe the usual relationship between the marginal parameters of Table4 and their random-effects counterparts. Note also that the random-intercepts variance is largest under LOCF, underscoring again that this method artificially increases the association between mea- surements on the same subject.... ..."

### Table 9 Comparison of Actual and Model-Based GRPs

"... In PAGE 12: ... We caution the readers that the solution may not be optimal but provides a better allocation. One such allocation is reported in Table9 and depicted in Figure 5. The horizontal bar graph com- pares the improved and the actual allocation of resources (measured in total GRPs) across the dif- ferent themes.... In PAGE 12: ... Our model suggests increasing adver- tising expenditure on reconnect and reassurance ads while decreasing on the other three themes. The per- centage changes in allocation of GRPs are quite large as seen in Table9 . They range from a low of 50% to a high of 276% change.... ..."

### Table IV. Mean absolute error between the uniformly-scaled model-based distortion estimate and the real distortion, as measured for two representative bitrates in four CIF test sequences.

### Table 1: Predicted and measured values of the mean number of model bases

1993

Cited by 10

### Table 3. Strength and modulus results from tension and compression tests of the uniaxial and isotropic laminates in table 2 with different orientation angles between the optical fiber and the adjacent structural plies.

1999

Cited by 1

### Table 9. Mean lines-of-code productivity by language and category Lang /

1996

"... In PAGE 15: ... This would have the effect of counteracting the decrease in the lines-of-code. If we look ahead to Table9 we see no proof of a lines-of-code paradox in the ESA database even when projects in the same category are considered. 5As the level of a language increases fewer lines of code are needed to produce a product of the same... In PAGE 22: ... He also concluded that lines-of-code productivity is representative only when measured for large projects, as is the case of projects in the ESA database. Analysis of Variance by Category and Language Table9 shows the average productivity of projects of the same category and language. It can be concluded that no matter what language is used, the categories of On Board and Message Switching have a low productivity.... ..."

### Table 4. Multivariate Logit Models based on potential Error Determinants

2006

"... In PAGE 11: ... So based on the univariate logit models we can conclude that the various metrics related to the size of the model seem to be the best predictors for errors. In a second step we tested multivariate logit models combining all input variables; Table4 summarizes the results. We started with all 15 variables yield- ing the results given in the \Complete Model quot; column.... In PAGE 11: ...2% correctly. Note that Table4 shows that the number of OR- joins is signiflcant (Wald sig. is 0.... ..."

Cited by 1

### Table 1: This table compares the performance of the model-based bias-optimal algorithm with a gain-optimal algorithm for di erent parameter settings of the admission control queu- ing system. The improvement is measured in terms of percentage increase in average queue size. The maximum queue size was xed at 20. Each parameter set was tested over 30 runs of 200,000 steps each.

1996

"... In PAGE 13: ... Note that the peaks in the queue length graph correspond to the dips in the average reward graph, and correspond to the initial transient period when the policy is being learned. Table1 compares the performance of the bias-optimal algorithm with the simpli ed gain-optimal algorithm for several additional sets of parameters for the admission control system. We selected these from a total run of around 600 parameter combinations since these produced the largest improvements.... ..."

Cited by 4

### Table 1: This table compares the performance of the model-based bias-optimal algorithm with a gain-optimal algorithm for di erent parameter settings of the admission control queu- ing system. The improvement is measured in terms of percentage increase in average queue size. The maximum queue size was xed at 10. Each parameter set was tested over 30 runs of 200,000 steps each.

"... In PAGE 13: ... Note that the peaks in the queue length graph correspond to the dips in the average reward graph, and correspond to the initial transient period when the policy is being learned. Table1 compares the performance of the bias-optimal policy with the gain-optimal policy for several additional sets of parameters for the admission control system. We selected these from a total run of around 600 parameter combinations since these produced the largest improvements.... ..."

### Table 13: Number of relevant documents in the first 10 of the PubMed retrieval results (PM) and after the EBM model-based re-ranking (EBM).

2005

"... In PAGE 30: ...1425), we consider the number of relevant documents displayed at the top of a ranked list to be a more meaningful measure for point-of-service information delivery. Number of relevant documents in the first ten of the PubMed retrieval results and after ranking is shown in Table13 along with the total number of the retrieved citations. Table 13: Number of relevant documents in the first 10 of the PubMed retrieval results (PM) and after the EBM model-based re-ranking (EBM).... ..."