More robust approaches for identifying
the causal effects of factors influencing health, such as the methods applied in this study, are required if we are to make recommendations for public health based on reliable evidence.»
Not exact matches
Our results don't really allow us to accurately predict the size
of the
effect — they're more about providing evidence that the relationship is actually
causal, rather than the result
of confounding or common risk
factors.»
A potential explanation for the secular trend may be that while improved treatment for cardiovascular risk
factors or complicating diseases has reduced mortality in all weight classes, the
effects may have been greater at higher BMI levels than at lower BMI levels.12 Because obesity is a
causal risk
factor for hypertension, diabetes, cardiovascular disease, and dyslipidemia,15,19 - 22 obese individuals may have had a higher selective decrease in mortality.18 Indirect evidence
of this
effect is seen in the findings as the deaths occur at similar time periods in the 3 cohorts, but cohorts recruited at later periods have an increase in the BMI associated with the lowest mortality, possibly suggesting a period
effect related to changes in clinical practice, such as improved treatments, or general public health status, such as decreased smoking or increased physical activity.
Identifying truly
causal effects out
of this tangled web
of related measures requires some sort
of external shock to the system — an outside
factor that affects tuition and / or institutional expenditures, but has no independent
effect on student enrollment or degree completion.
While we can not conclusively attribute the
effects found to the
causal effect of domestic violence per se, we can exploit the timing
of the domestic violence filings to provide suggestive evidence
of whether the negative spillovers are due to domestic violence or some other
factor correlated with it.
This makes it difficult to confidently assess the
causal effects of the program, separate from pre-existing characteristics which may simultaneously affect both who participates in FWS as well as subsequent academic and labor market outcomes (
factors such as student's academic ability, organization, or motivation).
This includes evidence from four separate studies that have directly tested whether VAMs measure correlation or causation... All four
of these studies reach the same conclusion: VAMs that control for students» lagged test scores primarily capture teachers»
causal effects rather than correlations due to other
factors not captured in the model.
While there is not a clear
causal effect between a teacher's own academic record and his or her ability to achieve the kinds
of learning gains that help students excel, most studies do find a correlation between higher GPA and teacher effectiveness.43 Taken in aggregate with other
factors, such as experience and rank
of undergraduate school, some studies have found larger positive impacts, especially for math achievement.44 For this reason, a high GPA should not be the only
factor that determines entry into the profession.
As a result, the estimated
effect of resources is confounded by other
factors (such as student need) and may not identify the true
causal effect of additional funding.
Both casual relationships are operative at all times: In the 19th and 20th centuries, the temperature - driving CO2
causal relationship amplified the original temperature
effect, as one
of several
factors leading to a net positive feedback on temperature due to CO2 increase, and a climate sensitivity
of about 3C for a doubling
of CO2 — a number verified multiple times by calculation from proxy data from multiple epochs in Earths prehistoric past.
It is unclear if the association is
causal or rather if substance abuse is secondary to another
factor, such as depression or hopelessness.9 In the present study, alcohol, marijuana, and other drug use remained significant even when the
effects of other
factors, including a measure
of emotional health, were taken into account.
His research includes investigating the
effects of community - level
factors, maternal psychosocial
factors (e.g., trauma), and offspring epigenetic influences on early childhood development; the evaluation
of approaches to improve service engagement; and the use
of quasi-experimental methods and large administrative datasets to estimate the
causal effects of home visiting on maternal and child health outcomes.