Sentences with phrase «predictive effect»

Papers included in this review were those reporting empirical research (cross sectional or longitudinal in design) exploring associations between a psychosocial variable and emotional adjustment, or the predictive effect of, at least one psychosocial variable on an emotional adjustment outcome measure.

The most robust studies are those that used longitudinal designs and controlled for time 1 levels of distress or well - being before examining the predictive effect of time 1 psychosocial variables on time 2 psychological adjustment.

This study used a regression analysis to explore the predictive effect of distress on the coping strategies IVF patients use.

In contrast, parental monitoring had a substantial negative predictive effect on children's school achievement in the context of other variables.

Moreover, although integrative models were tested by using structural - equation modelling or hierarchical regressions to demonstrate the predictive effect of positive youth development on problem behaviour (Jessor et al. 2003; Lent et al. 2005), these cross-sectional studies did not examine the reverse predictive effect of problem behaviour on positive youth development.

This confirms that professional identity (X) has a predictive effect on anxiety (Y).

The purpose of this study is to examine the predictive effect of life satisfaction and loneliness level of adolescents with divorced parents on resilience.

As before, the predictive effect of P / E10 is high in the intermediate - term as we see in years 10 and 20.

These estimates are lower bounds on the predictive effect of an SD increase in the teacher factor (Gco) based directly on college attendance.

More directly, I can define teacher and school factors based on the college attendance data and measure the predictive effect of the teacher factor on college attendance.

When the factors are constructed using data on college attendance, the predictive effect of a 1 - SD increase in the teacher factor is 0.79 percentage points.

Therefore, in predicting college attendance With the baseline controls in X, without the quadratic terms, with the partition on subject and grade, this gives The predictive effect on college attendance of 0.51 percentage points is considerably larger than the effect based on within school variation: percentage points.

With parent characteristics added to the baseline controls, the predictive effect is 0.13 percentage points.

This study measures the predictive effect of teachers on adult outcomes.

As in the production function discussion, I construct an index corresponding to variation in teacher inputs within a school and use it to obtain a predictive effect in SD units: Likewise, I construct an index corresponding to variation across schools and use it to obtain a predictive effect in SD units:

With the baseline controls, using the factor model, an SD increase in the teacher factor based on test scores has a predictive effect on college attendance of 0.16 percentage points.

Our conclusion that the observed effect was not simply a chance association is strengthened both by the observed, substantial improvement in RR when cancers occurring early in the trial were excluded and by the highly significant predictive effect of both the baseline and the 1 - y serum 25 (OH) D values in addition to the intervention itself.

Researchers set out to see if these pregnancy conditions had a predictive effect on the father's chances of developing them later in his life, since a live - in partner shares similar dietary and exercise habits, both important determinants of these conditions.

The predictive effects for test scores based on the test scores of other classes are and.

A factor model can provide predictive effects that condition on averages over many classrooms, with and without the same teacher, and can provide a limit as the number of such classrooms tends to infinity.

The goal of the paper is to provide predictive effects of teachers and schools on these outcomes.

With the parent characteristics added to the baseline control vector, the predictive effects for college attendance based on the college attendance of other classes are and.

I would like to have predictive effects that condition on averages over many classrooms, with and without the same teacher, and consider a limit as the number of such classrooms tends to infinity.

Repeating the analysis above with these two measures of parent characteristics added to the baseline control vector gives the following predictive effects for college attendance based on test scores which are somewhat lower than the results above using the baseline controls.

I would like to have predictive effects that condition on averages over many classrooms, with and without the same teacher.

With the baseline controls in X, the factor model estimates imply the predictive effects and.

The predictive effects are based on observing multiple classrooms with the same teacher.

These predictive effects can be based on residuals, where first we form predictions based on observed variables (X) such as class size, years of teacher experience, lagged test scores, and parent characteristics.

In parallel with the optimal linear predictor of college attendance, the optimal linear predictor for the test score is The predictive effects are With the baseline controls in X, the estimates are and.

The predictive effects for earnings are Compared with the results using the baseline controls, the teacher effect of $ 196 is about the same (before: $ 186), but the school effect of $ 282 is substantially lower (before: $ 400).

I shall rely on the factor model (below) for my discussion of the magnitudes of predictive effects.

Self - compassion moderates the predictive effects of implicit cognitions on subjective well - being.

Other risk factors (i.e., teen or single parenthood, very low income, high initial levels of problem behavior) showed no predictive effects, implying intervention was at least as successful at helping the most disadvantaged families, compared to more advantaged.

Using a developmental, social — ecological approach to understand the etiology of health - risk behavior and inform primary prevention efforts, we assess the predictive effects of family and neighborhood social processes on youth physical fighting and weapon carrying.

This study, drawing on data from the 2002 Survey of Approaches to Educational Planning (SAEP), examined the predictive effects of parenting practices and parenting style on children's school achievement, and the predictive effects of parental expectations and parental beliefs on parenting style for 6,626 respondents with children aged 5 — 18 years in Canada.

There were 36 studies were identified which aimed to explore associations, or predictive effects of, psychosocial factors on emotional distress.

Not exact matches

These risks and uncertainties include, among others: the unfavorable outcome of litigation, including so - called «Paragraph IV» litigation and other patent litigation, related to any of our products or products using our proprietary technologies, which may lead to competition from generic drug manufacturers; data from clinical trials may be interpreted by the FDA in different ways than we interpret it; the FDA may not agree with our regulatory approval strategies or components of our filings for our products, including our clinical trial designs, conduct and methodologies and, for ALKS 5461, evidence of efficacy and adequacy of bridging to buprenorphine; clinical development activities may not be completed on time or at all; the results of our clinical development activities may not be positive, or predictive of real - world results or of results in subsequent clinical trials; regulatory submissions may not occur or be submitted in a timely manner; the company and its licensees may not be able to continue to successfully commercialize their products; there may be a reduction in payment rate or reimbursement for the company's products or an increase in the company's financial obligations to governmental payers; the FDA or regulatory authorities outside the U.S. may make adverse decisions regarding the company's products; the company's products may prove difficult to manufacture, be precluded from commercialization by the proprietary rights of third parties, or have unintended side effects, adverse reactions or incidents of misuse; and those risks and uncertainties described under the heading «Risk Factors» in the company's most recent Annual Report on Form 10 - K and in subsequent filings made by the company with the U.S. Securities and Exchange Commission («SEC»), which are available on the SEC's website at www.sec.gov.

It's interesting to note that other industries that have a similar view of the customer lifecycle as the AARRR model have used predictive analytics to good effect.

More importantly, it could also inspire study in and be part of a larger collection of evidence to support the predictive and contributory effects of mini flash crashes on larger flash crashes or on market crashes more broadly.

«These predictive algorithms seem to do a good job when CRISPR is performed in cells or tissues in a dish, but whole genome sequencing has not been employed to look for all off - target effects in living animals,» says co-author Alexander Bassuk, MD, PhD, professor of pediatrics at the University of Iowa.

This special section of Science focuses on the current state of knowledge about the effects of climate change on natural systems, with particular emphasis on how knowledge of the past is helping us to understand potential biological impacts and improve predictive power.

However, while they are valuable tools in a broad range of fields, predictive models are still plagued by uncertainties, or errors, and a great deal of effort is directed at determining the extent and effects of these errors.

We hope that our new, faster and more accurate predictive method will eventually have the same effect elsewhere in Australia and overseas,» he says.

For example, pharmaceutical companies could conduct predictive screenings for drugs before clinical trials and determine which groups of patients would experience side effects and which ones wouldn't.

This predictive model could be used to figure out what these side effects are ahead of time,» said UC San Diego alumnus Aarash Bordbar, who did this research while a Ph.D. student in Palsson's Systems Biology Research Group.

Researchers then used these predictive models to understand — at the metabolic level — why some individuals experienced side effects to ribavirin, a drug used to treat hepatitis C, while other individuals did not.

«Models are being used to explore physical effects (scenarios) and as a predictive tool,» Andrew Callegari said in a Feb. 2, 1984 presentation for colleagues.

The HZI will also not only perform experiments to compare the predictive immunogenicity and efficacy of vaccines between different model species and humans but will test comparative effects of adjuvants.

To assess the predictive power of the GE changes between the groups, we employed machine - learning procedures to construct classifiers to predict group membership based on pre - versus post-intervention GE (vacation effect) and regular versus non-regular post-intervention GE data (meditation effect).

These life - threatening side effects are usually not revealed during preclinical testing due to a lack of specific predictive models.