Predictors Sample Clauses

Predictors. Performance-based inhibition scores at baseline did correlate to anxiety symptom reduction (r=-.416; p=0.043), indicating that that subjects with poorer inhibition showed a larger reduction of anxiety symptoms, suggesting these subjects are more likely to benefit from AT.
Sample 1
Predictors. (Constant), Due Professional Care, Time Budget Pressure, Dysfunctional Behavior; b.
Sample 1
Predictors. Based on previous studies, we a priori selected candidate predictors of post-thrombotic syndrome (14-22). These included sex, age, body mass index, varicose veins at diagnosis, idiopathic deep venous thrombosis, localization of deep venous thrombosis, the extent of residual vein thrombosis quantified with the thrombosis score, and the presence of valvular reflux quantified with the reflux score, and calf muscle pump function and venous outflow resistance. The cumulative incidence of post-thrombotic syndrome was calculated as the number of patients with post-thrombotic syndrome divided by the overall number of patients. The relative risk of each predictor was calculated by risk ratios, with corresponding 95% confidence interval (95%CI). The risk ratios indicate the risk of post-thrombotic syndrome in the presence of a candidate predictor relative to the absence of that predictor. The chi-square test was used to assess differences between proportions. Subsequently, we included all candidate predictors with a P-value ”0.10 in a multivariate logistic regression model. The ability of the model to discriminate between patients with and without post-thrombotic syndrome was estimated by the area-under-the-receiver operating characteristic (ROC) curve. All computations were performed with the use of SPSS software, version 14.0 (SPSS Inc., Chicago, IL, USA). Patient characteristics of the 111 patients with a first episode of symptomatic deep venous thrombosis are summarized in Table 1. There were 52 women (47%), the mean age of all patients at time of diagnosis was 48 years (5th -95th percentile 27-68) and the overall mean age was 5 years higher in men than in women. Varicose veins, as assessed by the dermatologist, were present at entry in 15 patients (13%). Thrombosis was unilateral on the left side in 55 patients (50%), and none of the patients had bilateral deep venous thrombosis. Distal thrombosis was present in 18 patients (16%), and deep venous thrombosis was idiopathic in 34 patients (31%) (Table 1). A total of 94 patients (85%) completed the two years of follow-up, 11 patients did not complete the follow-up because they were unable to come to the hospital for all examinations, and six patients died of various causes. Recurrent symptomatic deep vein thrombosis was diagnosed in six patients. Two recurrences occurred in the ipsilateral leg and four in the contralateral leg. Median duration to recurrence was 7 months (5th-95th percentile 4-13). Three patients u...
Sample 1
Predictors. Age, gender, health facility1, department, year, age-appropriate DTP vaccination2, education3 and family monthly income (in US dollars) were grouped into demographics. History, signs and symptoms that were analyzed were presence of cough, duration of cough and presence of paroxysmal cough, whoop, posttussive vomit, self-reported fever, vomiting (including posttussive), 1 Presentation to hospital versus ambulatory site, which combined health centers and health posts 2 Age-appropriate dosing per WHO recommendations among children <5 years old defined as dose 1 before age 3 months, dose 2 before age 5 months and dose 3 before age 7 months 3 If patient <18 years of age, answered by patient’s parent/tutor recent use of antibiotics and other respiratory diagnosis upon discharge. Physical findings that were analyzed included measured fever (≥38°C), hypoxia (% oxygen saturation ≤94%) and abnormal breath sounds on exam (crackles/rales, wheezes or rhonchi). Table 4 presents this classification schema. All analyses were performed using SAS statistical software, version 6.3 (Cary, NC). Following Xxxxxxxxx’x variable specification strategy, statistical significance was set at □=0.25, two-tailed, during the selection of predictors to include in the model [18]. For all other analyses, statistical significance was set a priori at □=0.05, two-tailed. We determined the incidence rate of clinical pertussis within our ViCo surveillance population for the time period from June 1, 2008 to July 31, 2011 (43 months or 3.58 years). This was defined as the incidence of new cases of pertussis within our “at risk” population during this given period. Since individual follow- up was unknown for our study population, person-time was calculated by the following: (total population in surveillance project) x (time length of the study period). Therefore, the denominator of our rate included all persons initially surveyed for inclusion into the ViCo surveillance project. The incidence rates were then stratified by age categories (Table 1, Figure 1). This method assumes a stable, dynamic cohort and a small number of new cases.
Sample 1
Predictors of expected performance (ITT Leading the Task, M01 – M16) INRIA, INESC-ID
Sample 1
Predictors. (Constant), Due Professional Care, Time Budget Pressure, Dysfunctional Behavior; b. Dependent Variable: Audit Quality Table 3 MODEL SUMMARYb 1 0.951a 0.905 0.902 0.8725
Sample 1
Predictors. To explore possible predictors of therapy success, baseline scores of the subscales were used in a backward regression analysis in relation to anxiety symptom reduction. This resulted in a significant model [F(2,20)=4,15, p=0.031, R2=.293] consisting of two subscales of the BRIEF, showing that higher baseline scores of shift (β=.381, t=2.02, p=0.057) and organization of materials (β=.347, t=1.84, p=0.081) led to larger reduction of anxiety symptoms, suggesting that subjects who experience many problems with these EF aspects are more likely to benefit from AT. p p p Intercept tests on baseline z-scores showed that some of the EF variables deviated significantly from the mean norm score, but were within normal range (-1 to 1): fluctuation in tempo: [mean(SD)] 0.37 (1,16); F(1,44)=4,61, p=0.037, η 2=.095; accuracy (mistakes) in SSV1: [mean(SD)] 0.63 (1.34); F(1,44)=10,35, p=0.002, η 2=.19; accuracy of inhibition: [mean(SD)] 0,80 (2,26); F(1,44)=5,68, p=0.022, η 2= .114; accuracy of cognitive flexibility: [mean(SD)] 0,68 p (2,12); F(1,44)=4,64, p=0.037, η 2=.095. The variable impulsivity falls within clinical range: [mean(SD)] 1,65 (1,65); F(1,44)=57,07, p p<0.0001, η 2=.52. This indicates a clinical problem (poor inhibition) in this study population. Due to procedural errors, three cases were excluded from analysis, two from the AT group and one from the WL group. The RM-ANOVAs testing the treatment effects of AT on inhibition, cognitive flexibility and sustained attention showed no significant differences between experimental group and control group (0.15<p<0.91). Some of the tasks showed significant outcomes of test moment only, indicating a learning effect. This applied to inhibition (speed), flexibility (speed) and sustained attention (speed and stability), but not for number of errors on the tasks and stability in speed in the inhibition and flexibility tasks. Outcomes of the tasks (mean(SD)) are presented in Table III. Measure and T0 condition Mean (SD) T1 Mean (SD) Time* F Grou p p Effect size (partial η2) BS task Alertness Reaction time AT (n=23) 278 (42) 296 (43) 5,70 .229 .034 WL (n=21) 292 (38) Stability 298 (41) AT (n=23) 81,43 (53,32) 64,26 (33,65) 1.83 .183 .042 WL (n=21) 72,38 (32,04) 86,81 (84,35) AT (n=21) 280 (222) 251 (158) 2,12 .153 .050 WL (n=21)Accuracy (error%) AT (n=21) 358 (295) 10,71 (22,36) 220 (159) 4,29 (6,57) 1,79 .188 .043 WL (n=20) 8,21 (9,97) 9,40 (19,25) AT (n=20) 471 (254) 360 (168) 0,36 .550 .009 WL (n=21) Accuracy (error%)...
Sample 1
Predictors. Data on predictors were obtained from the GCR including age at diagnosis, gender, race, marital status, poverty level and diagnosis year. Two geographic predictors: Rural Urban Commuting Area Codes (RUCAs) and diagnosis county of the patient were also included. We also included a binary predictor to assess the effect of utilization of the Commission on Cancer (CoC) facilities. This indicator reflected whether the patient was treated in a hospital accredited by the CoC. Two additional predictors assessed the number of regional nodes examined and the number of positive regional nodes for each patient. The number of regional nodes examined recorded the total number of regional lymph nodes that were removed and examined by the pathologist. The number of positive regional nodes recorded the exact number of regional nodes examined by the pathologist and found to contain metastases. Age at diagnosis was categorized into three different groups: less than or equal to 65 years, 66 to 72 years, and 73 to 79 years. Gender was dichotomized into male and female. Race was categorized into White and other races. We combined Black and other races due to the small sample size of patients with other races (n=8). Marital status at the time of diagnosis was categorized into three groups: married, other, and unknown. Other included never married, separated, divorced, widowed and not common law marriages. Poverty level was measured with an area-based measure of socioeconomic status based on the census tract of the patient’s address at diagnosis. It was obtained from the 2000 U.S. Census, the decennial census closest to the diagnosis years covered in this study. We dichotomized this variable as less than 20%, and 20% or above. An area with greater than 20% of the population living below the federally defined poverty level meets the definition of a federal poverty area. For geographic predictors, RUCA primary codes were applied to indicate urbanicity. RUCA codes are a new Census tract-based classification scheme that utilizes the standard Bureau of Census Urbanized Area and Urban Cluster definitions in combination with work commuting information to characterize all of the nation's Census tracts regarding their rural and urban status and relationships. We categorized RUCA primary codes into three groups: metropolitan area, micropolitan area and other area. In addition, a variable was created called SEER region which dichotomized counties in Georgia into 2 groups, Atlanta and other,...
Sample 1

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