Sentence examples for miss balanced from inspiring English sources

Thus MPI, even with attenuation correction, can miss balanced CAD.

UNICEF Montenegro/Dusko Miljanic "In our everyday communication with mothers, we have assessed that they miss balanced and reliable advice that would calm them down during the first period after the childbirth, which is actually the most stressful one.

Updated at 12.57pm BST 12.25pm BST Italy may miss balanced budget goal - reports Here's the details of that newsflash from Italy,which suggests the country's economic reforms have stumbled amid the squabbling between its coalition 'partners'partners

I really enjoy this but I miss balance".

It was an administrative error, the bank official said, and my parents were able to work out an arrangement to make up the missing balance.

Hundreds of millions of dollars worth of bitcoins have been lost, and account holders are justifiably angry about their missing balances.

Are you giving a lot and getting a lot out of life, but feeling that you are missing balance, well-being, and authentic happiness?

Some patients may make a conscious decision to miss appointments, balancing their decision on the perceived benefits and costs [ 4].

low risk of bias (e.g. no missing outcome data; missing outcome data balanced across groups); high risk of bias (e.g. numbers or reasons for missing data imbalanced across groups; 'as treated' analysis done with substantial departure of intervention received from that assigned at randomisation); unclear risk of bias (insufficient information about missing data or exclusions from analysis).

low risk of bias (e.g. no missing outcome data; missing outcome data balanced across groups); high risk of bias (e.g. numbers or reasons for missing data imbalanced across groups; ‘as treated’ analysis done with substantial departure of intervention received from that assigned at randomisation); unclear risk of bias.

We assessed methods as: low risk of bias (e.g. no missing outcome data; missing outcome data balanced across groups); high risk of bias (e.g. numbers or reasons for missing data imbalanced across groups; 'as treated' analysis done with substantial departure of intervention received from that assigned at randomisation); unclear risk of bias.