We would need further field based studies using many more populations of each bee species before
making robust conclusions.
We can not
make robust conclusions because the subgroup of patients with negative EGFR was very small, but the hypothesis generated here is that those tumours do not respond well to necitumumab.»
As I said earlier this still is not a sufficient condition to
make robust conclusions.
Not exact matches
This
makes the
conclusions and predictions more
robust,» Frey said.
In fact, this is a similar argument to the one I
made on the Browning Australia thread: if by omission of one data «point» — one proxy in this case, one year's rainfall in the Browning Australia thread — you drastically change the
conclusion, then your method can not be
robust.
Robust Z - scores were used to identify possible outliers in the dataset, as such values could distort the mean and
make the
conclusions of a study less accurate or even incorrect.
But I don't see how the last decade of temperature data
makes such a difference to that argument (being heavily influenced by La Nina and solar minimum (F&R 2011), and being relatively short in duration: a
robust conclusion shouldn't depend on adding on few more datapoints).
They probably realize that our
conclusion is
robust, so instead they try to nitpick on details and
make it appear as if that undermines our
conclusion.
The message from the IPCC assessment reports would be more
robust if it also
made available the source code and data from which its key figures and
conclusions are derived.
Starting from two different decision frameworks (precautionary principle versus
robust decision
making) and assumptions about the nature of the uncertainty (PDF versus possibility distribution) results in opposite
conclusions regarding whether uncertainty weakens or strengthens the case for action.
A comprehensive idealized hurricane intensity modeling study by Knutson and Tuleya, published in Journal of Climate (2004), confirms the general
conclusions of previous studies but
makes them more
robust by using future climate projections from nine different global climate models and four different versions of the GFDL hurricane model.
The least squares regression approach probably under - estimates that A scenario growth rate, but that is OK, that just
makes the
conclusion more
robust.
95 % confidence interval has been traditionally used because it is wide enough to be attained in many instances, but
robust enough that unfounded
conclusions aren't very likely be
made.»
1) They examine this over an eight - year period, a long enough time frame to
make the
conclusions more
robust.