Sentences with phrase «predictor variables at»

In the lagged analyses, we examine the relation of predictor variables at Tn to outcomes measured at Tn + 1 controlling for outcomes measured at Tn.

Across all of the significant predictors, however, families and children displaying fewer problems on the predictor variables at pretreatment had fewer problems at posttreatment and follow - up.

Multiple regression analyses showing predictor variables at entry to trial (immunological, psychological, and demographic) and investigator rated Karnofsky performance index scores * at follow up

T1 child BMIz and the same potential co-variates were controlled for at step 1 before entering predictor variables at step 2.

That still leaves the standard deviations of individual predictor variables at different spatial locations varying by a factor of up to 20 within each predictor field.

Not exact matches

Andrew M. Greeley, «Religious Imagery as a Predictor Variable in the General Social Survey,» paper presented at a plenary session of the Society for the Scientific Study of Religion, Chicago, 1984.

In place of reporting probit coefficients, we report the marginal effect of the variable on the award probability, which is the change in the award probability due to each predictor separately, with other variables evaluated at their mean values.

When all variables were considered, disordered eating at age 24 was a predictor of lower psychological wellbeing among both women and men as well as a lower self - evaluation of health among men ten years later.

«In our last paper, we showed that significant variables may not necessarily be predictive, and that good predictors may not appear statistically significant,» said principal investigator Shaw - Hwa Lo, a professor of statistics at Columbia University.

«We looked at every variable, and the second leading predictor was whether the patient had a pet.

If one is to look at Table 20, one would see that in the worst model (adjusted ELA Common Core) the predictor variables together only explain 45 % of student ELA Common Core test scores.

We built a generalized estimating equation (GEE) general linear model (GLM) with outcome as the dependent variable; time in the nursing box, licking / grooming per puppy, vertical nursing per puppy, and ventral nursing per puppy were entered as predictors with breed, maternal parity, sex of puppy, and age at return entered as covariates.

They are looking at many variable non-linear factors, with limited data input, and worthless for predictors.

Discrete - time survival analysis, with person - year the unit of analysis and a logistic link function, was used to examine associations of temporally primary (based on retrospective age - at - onset reports) mental disorders and subsequent first onset of suicidality.29 Time was modeled as a separate dummy predictor variable for each year of life up to age at interview or age at onset of the outcome, whichever came first.

When data on covariates had been collected at both time points (eg, SES or household adults), we used covariates assessed at 9 months for the 9 - month ITSC predictor variable, and covariates assessed at 2 years for the combined 9 - month + 2 - year ITSC variable.

Information was collected in the surveys to date the transitions in time - varying variables (eg, respondent's age at birth of siblings and at parental death or divorce), allowing us to redefine these variables for each year of the respondent's life as time - varying predictors of onset of suicidality.

Other than religiosity, which was consistently related to fewer hookups, other personality variables were inconsistent predictors at best.

Baseline drinking status (ever vs never tried alcohol) did not predict attrition, but to account for attrition bias related to other variables, estimation was carried out after multiple imputation using the standard missing at random assumption (ie, missing data are assumed missing at random conditional on observed predictors included in the model).27 The imputation model included all the predictors in the alcohol models plus a number of auxiliary variables that were not of direct theoretical interest but were nonetheless predictive of missingness so as to improve the quality of the imputations and make the missing at random assumption more plausible.28

The analyses also included age, race / ethnicity (three binary variables for Black, Hispanic and other ethnicity, coded with Whites as the reference group), gender, household income and parental education, media - viewing habits — hours watching television on a school day and how often the participant viewed movies together with his / her parents — and receptivity to alcohol marketing (based on whether or not the adolescent owned alcohol - branded merchandise at waves 2 — 4).31 Family predictors included perceived inhome availability of alcohol, subject - reported parental alcohol use (assessed at the 16 M survey and assumed to be invariant) and perceptions of authoritative parenting (α = 0.80).32 Other covariates included school performance, extracurricular participation, number of friends who used alcohol, weekly spending money, sensation seeking (4 - wave Cronbach's α range = 0.57 — 0.62) 33 and rebelliousness (0.71 — 0.76).34 All survey items are listed in table S1.

These predictor variables could be at either the individual or group level (or both).

The relations between independent predictor variables (measures of immunological and psychological function at entry to the trial, age of onset, and duration of illness) and dependent dichotomous outcome variables (self rated global outcome; presence or absence of caseness on the general health questionnaire at follow up; reduced or normal delayed responses to hypersensitivity skin test) were examined in separate logistic regression analyses.

Because of the large number of comparisons (each predictor variable for three outcome measures), results were only considered significant at the p <.01.

We followed Kraemer et al. (2002) in describing a predictor as a variable that is present at the time intervention started and is associated with a response to treatment, but that does not show a differential response to type of treatment.

Cancer - specific stress at baseline was examined as a predictor of psychological (cognitive - affective depressive symptoms, negative mood, mental health quality of life) and physical functioning (fatigue interference, sleep problems, physical health quality of life), controlling for demographic and treatment variables.

At first a regression model with the general relationship satisfaction scale as the criterion and seven predictors: the Triangular Love sub-scales (Passion, Commitment, Intimacy) a dummy sex variable (men participants coded 0 as the reference group, and women coded as 1), and the interaction terms between the sex variable and the love sub-scales.

In terms of the predictor variables selected, every one significantly predicted at least one love style, and supporting our predictions that cultural orientation, adult attachment style, gender and relationship length are crucial to understanding love attitudes.

Each regression analysis included the pertinent child characteristic (as control variable) and fathers» and mothers» internalizing and externalizing problems at the 3 - year wave as predictors, and fathers» and mothers» emotion talk at the 3 - year wave as mediators.

Other variables (maternal parity, housing stability, hospitalization, perceived health status, employment, use of the Women, Infants, and Children Supplemental Nutrition Program, and cigarette smoking; whether the mother was living with a partner; and infant gestational age, birth weight, need for transfer to an intensive care nursery, health insurance, special needs, health status as perceived by the mother, and age at the time of the survey) were included if the adjusted odds ratio differed from the crude odds ratio by at least 10 %, which is a well - accepted method of confounder selection when the decision of whether to adjust is unclear.42, 43 Any variable associated with both the predictor (depression) and the outcome (infant health services use, parenting practices, or injury - prevention measures) at P <.25, as suggested by Mickey and Greenland, 42 was also included.

Moreover, the possibility of common method variance could be reduced even more by measuring the predictor and outcome variables separated in time, such as across two daily diary surveys (i.e., experience sampling design) were employees are instructed to fill out their experienced levels of workload at the end of the workday and the experienced levels of detachment and marital satisfaction right before bedtime (Podsakoff et al., 2003).

The internalizing x externalizing interaction factor was a statistically significant predictor of the intercept for dichotomous variables when it was specified at W1, W2, W4, and W5, βs = − 11.80 to − 3.23, ps < 0.05, and the nature of this interaction was similar to that described in our main analysis with W3 specified as the intercept.

The predicted disability scores were at study midpoint (i.e., 3 years) when all the continuous predictor variables were at their means.

Prior to specifying the within - person part of the two - level path model, we person - mean centered the level 1 predictor variables (i.e., workload and squared workload) at an employee's individual mean to eliminate between - person variance (Hofmann et al., 2000).

That is, we examine how a predictor variable, for example self - care, at Tn is related to metabolic control at Tn + 1 controlling for metabolic control at Tn.

For the first analysis, intraindividual family (conflict, cohesion, marital status, and number of adults in home), psychosocial (symptoms of anxiety and depression), medical (prepump regimen, metabolic control, and illness duration), and demographic variables (child and parent age, parent education, and ethnicity) were analyzed as predictors of QOL at the prepump assessment.

Our psychosocial predictor variables (e.g., friend support and depressive symptoms) were considered to be time - varying predictors because they were measured at each wave of assessment and changed over time.

In the present study, we assessed dimensions of parenting practices at age 2 as a predictor variables.

Numerous theorists have argued that two - wave or «half longitudinal» designs (in which the mediator is measured at the same time point as either the predictor or outcome variable) are a cost - effective way to examine mediation and are preferable to more widely - used cross-sectional designs (Cole and Maxwell, 2003; Little et al., 2007; Newsom, 2015; Preacher, 2015).

Therefore, among the 1,055 possible participants, 1,000 for Cooperation, 997 for Self - Control, and 1,026 for Assertion were available because of missing predictor variables or covariates at 2 years of age.

Looking at these variables individually, child IQ (p =.02), parent scaffolding (p =.03), and child emotion regulation (p =.03) emerged as significant predictors.

Demographic and disease - related variables that are measured at each wave of assessment and change across assessments are referred to as level 1 variables or time - varying predictors.