Sentences with phrase «significant lack of data»

She also noted that a report sent out last fall by the Institute of Medicine and the National Research Council revealed a significant lack of data regarding concussions — especially among the youth.

Not exact matches

Specifically, Defendants made false and / or misleading statements and / or failed to disclose that: (i) Akorn's failure to comply with FDA data integrity requirements would jeopardize Fresenius» acquisition of Akorn; (ii) the Company lacked effective internal controls over financial reporting; and (iii) as a result of the foregoing, Akorn shares traded at artificially inflated prices during the Class Period, and class members suffered significant losses and damages.

In other words, «A lack of high quality data leaves the most significant questions unaddressed and unanswered,» concludes Marks.

Scientists now have much more information about faults both major and minor; just as significant, they have developed a much keener sense of how to proceed when data are lacking.

«Although we do not have data, it is understood that lack of routine obstetric care will have a significant negative impact on maternal and newborn outcomes,» says Lisa Jane Thomas, a WHO medical officer who worked in Liberia for the past six weeks.

Dr Missair and colleagues conclude, «Although there is a significant lack of scientific data, our search of the current literature identified some strategies that may be helpful to protect anesthesia staff from acquiring the virus while enabling them to provide appropriate medical care to their patients.»

At the same time, the NRC report noted the lack of data on juveniles to be a significant scientific challenge.

It would also have a negative impact on the use of such resources by scientists working on other organisms — often motivated by hunches from other MODs — more casual users or those who lack significant funds, such as researchers at under - resourced institutions and those using such data repositories for educational purposes.»

As mentioned above there still lacks a lot of significant clinical data on the use of the ketogenic diet for Parkinson's Disease.

While the data is of the dreaded self - reported kind, the lack of any significant correlation between % of daily calories from fat and BMI, is still very interesting (note even if you remove the various obvious outliers, the correlation — or lack of — is the same).

Earlier this year, a National Academy of Sciences committee charged with evaluating education reforms in DC issued a report that included scathing comments on the difficulty of obtaining education data: «The lack of readily available data presented a significant challenge for our committee, and it is a source of frustration for some senior DCPS officials who would like to rely more heavily on data to support their decision making.

However, the fact that we find very «precise zeros» — that is, we don't find statistically significant relationships even though we have the statistical power in our data to detect even very modest relationships — implies that neither measurement error nor a lack of sufficient variation are what's driving our inability to detect a relationship between teaching and research quality.

Using data from California schools that received SIG funds, this study found significant improvements in the test scores of schools on the «lowest - achieving» margin but not among schools on the «lack of progress» margin.

While I think analysis like this is interesting and helpful in evaluating the health of comics market, the lack of online data, where quick a big chunk of the sales happen (at least for manga), leaves out a significant part of the story.

Yet, according to a recent State Street study, while traditional obstacles to ESG investing are fading, the one significant barrier that remains is the lack of transparent, standardized and quality data.

However, one significant barrier remains: the lack of transparent, standardized and quality data.

Elsewhere in this thread, I have predicted that Kevin Trenberth will not focus on the definition of a null hypothesis, but will instead cite climate data as evidence that it is wiser to assume significant human effects, unless proven otherwise, than to assume the lack of these effects.

Now it turns out the lack of warming has gone on for so long that even throwing in a one or two - year spike into it is not going to induce a significant warming trend in that data,» Michaels noted.

Of course that data is completely artificial so «60 year» pause in that data could be no more significant for a lack of warming than a 1 year pause in hadcrut4 would bOf course that data is completely artificial so «60 year» pause in that data could be no more significant for a lack of warming than a 1 year pause in hadcrut4 would bof warming than a 1 year pause in hadcrut4 would be.

The lack of statistically significant warming in the UAH data has been noted by Werner Brozek on WUWT see — https://wattsupwiththat.com/2016/08/08/will-2016-set-satellite-records-now-includes-june-and-july-data/ (see Section 1).

Global surface temperature data shows a lack of statistically significant warming over the last 15 years — a development that has baffled climate scientists.

The lack of statistical significance in temperate trends since 1998 is at least partly a statistical power issue - there is not enough data (since 98) to achieve a statistically significant result, even if there has been warming.

A significant number of EU businesses are sleepwalking towards massive penalties due to a lack of awareness of the scale of the General Data Protection Regulation (GDPR) data collection challeData Protection Regulation (GDPR) data collection challedata collection challenge.

Lack of training and preparing for personal data breaches is a significant internal training issue that many companies are still failing to implement and this is now key to effective risk and governance management where the personal data of millions of customers across the EU is being processed,» Foss says.

But Brazil has also been criticized for its lack of transparency, and for not sharing significant samples and data to determine whether the virus is responsible for the increase in the number of babies born with microcephaly, a rare neurological condition.

Until there is significant actuarial and mortality data on these policies it is, for lack of a better term, fragile.

There are significant deficiencies in data collections, including the lack of consistent data over a sufficient time period to enable adequate comparison.