Sentences with phrase «with predictive effects»

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.

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.

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.

With parent characteristics added to the baseline controls, the predictive effect is 0.13 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 poiWith 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 poiwith 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.

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.

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.

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 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 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).

And this particular type of talk with children in the toddler / preschool age range was more predictive of child language outcomes than the quantity of talk or other types of talk, and it wiped out the effect of quantity in the statistical models.

The PNAS paper makes a key point: «These precipitation and temperature effects are statistically significant but have modest influence in terms of predictive power in a model with political, economic, and physical geographic predictors.

About 1980ish, some old ideas like the greenhouse effect were brought out of mothballs and re-examined with new tools and techniques; simultaneously several researchers and theoreticians released their notes, published, or otherwise got together and there was a surprising consilience and not a small amount of mixing with old school hippy ecologism on some of the topics that became the roots of Climate Change science (before it was called Global Warming); innovations in mathematics were also applied to climate thought; supercomputers (though «disappointing» on weather forecasting) allowed demonstration of plausibility of runaway climate effects, comparison of scales of effects, and the possibility of climate models combined with a good understanding of the limits of predictive power of weather models.

The main evidence for catastrophic anthropogenic global warming (CAGW), the principal alleged adverse effect of human emissions of carbon dioxide (CO2), is climate models built by CAGW supporters in a field where models with real predictive power do not exist and can not be built with any demonstrable accuracy beyond a week or two because climate and weather are coupled non-linear chaotic systems.

Modern Science on the other hand rests on scientific deduction by postulated Cause & Effect in models of the real world with predictive power.

The utilities were assumed to remain constant over time, with missing values imputed using predictive mean matching and complete cases only to generate estimates of the cost per QALY gained from FLNP over 5 and 10 - year time horizons, based on linear extrapolation of effect over time.

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

For patients with suspected infection within the ICU, the SOFA score had predictive validity (AUROC = 0.74; 95 % CI, 0.73 - 0.76) superior to that of this model (AUROC = 0.66; 95 % CI, 0.64 - 0.68), likely reflecting the modifying effects of interventions (eg, vasopressors, sedative agents, mechanical ventilation).

In addition, since from a practical - clinical perspective effect sizes are the most relevant objective of the analyses, and due to the fact that p - values are strongly dependent on sample size, all effect sizes for the relationships analyzed have been estimated by the confidence interval for the parameters, with the R2 measuring the global predictive capacity of the models (adjusted to the covariates).

Effect of disease prevalence on positive and negative predictive values with sensitivity and specificity set to 25 % and 95 %, respectively.

For example, higher levels of depression have been shown to be predictive of poorer treatment outcomes for patients with chronic pain, 11 as well as higher health care costs over time.12 Equally, the presence of pain in people being treated for mood disturbance has predicted delayed responses to mood interventions.13 Therefore, improving our understanding of how chronic pain and depression are linked, and treating both components offers the prospect of enhancing treatment effects beyond the benefits of treating either condition alone.14

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.

This effect was complemented by a significant main effect of the support provider's own level of positive support - seeking (in the seeker role), with more positive support - seeking (in the seeker role) predictive of more instrumental support (in the provider role)(β =.21, p =.014).