Sentences with phrase «analysis of variance over»

Analysis strategy — We use analysis of variance over time, covarying for age and sex, to test for an interaction between time and arm of trial.

Not exact matches

For instance, an influential analysis by Hawking & Sutton (2009)(link to figures) has suggested that internal climate variability account for only about 20 % of the variance over the British isles on a 50 - year time scale.

Professional Experience CHARTIS (New York, NY) 2004 — 2010 Manager, Financial Analysis • Utilize experience in accounts receivable / payable, expense control / reduction, budgeting and forecasting • Create, prepare, and analyze weekly and monthly GOE expense and account reports of over $ 12M • Provide Senior Executive and CFO with critical information needed to manage divisional expenses • Generate and implement new procedures to reduce expenses over budget • Conduct analysis of significant expense and account receivable items • Manage the premium and expense results for the profit centers • Provide comptrollers with monthly divisional account receivable cash forecast of over $ 86M per month • Reduce cash forecast variance to less than 5 % per month • Resolve and reduce receivables over a 12 month period from $ 12M to less than $ 3M per month • Establish and maintain strong relationships with vendors, underwriters, and senior executives • Control and maintain expenses to stay within budgets and forecasts • Review and verify the validity and accuracy of accounts payable prior to approving disbuAnalysis • Utilize experience in accounts receivable / payable, expense control / reduction, budgeting and forecasting • Create, prepare, and analyze weekly and monthly GOE expense and account reports of over $ 12M • Provide Senior Executive and CFO with critical information needed to manage divisional expenses • Generate and implement new procedures to reduce expenses over budget • Conduct analysis of significant expense and account receivable items • Manage the premium and expense results for the profit centers • Provide comptrollers with monthly divisional account receivable cash forecast of over $ 86M per month • Reduce cash forecast variance to less than 5 % per month • Resolve and reduce receivables over a 12 month period from $ 12M to less than $ 3M per month • Establish and maintain strong relationships with vendors, underwriters, and senior executives • Control and maintain expenses to stay within budgets and forecasts • Review and verify the validity and accuracy of accounts payable prior to approving disbuanalysis of significant expense and account receivable items • Manage the premium and expense results for the profit centers • Provide comptrollers with monthly divisional account receivable cash forecast of over $ 86M per month • Reduce cash forecast variance to less than 5 % per month • Resolve and reduce receivables over a 12 month period from $ 12M to less than $ 3M per month • Establish and maintain strong relationships with vendors, underwriters, and senior executives • Control and maintain expenses to stay within budgets and forecasts • Review and verify the validity and accuracy of accounts payable prior to approving disbursements

3 Yet another meta - analysis found that neuroticism (i.e., the proclivity to experience negative emotions), long - established as the personality trait with the most impact on relationship success, accounted for less than 5 % of variance in relationship satisfaction over time.4 All in all, factors beyond the reach of matching algorithms likely account for over 95 % of couples» long - term relationship satisfaction.

Doses of drugs over the trial were converted to mean daily equivalents of chlorpromazine and compared across groups by means of Kruskal - Wallis one way analysis of variance; this indicated no significant differences between treatment groups (medians of daily drugs in chlorpromazine equivalents: cognitive behaviour therapy 425, supportive counselling 517.75, routine care 450; χ = 0.963; P = 3D0.62).

Most comparisons of QOL between regimens have compared values before and after initiating pump use with t - tests or analyses of variance and have not considered trajectories of change during the transition or factors contributing to the changes that were found (Cogen et al., 2007; Juliusson et al., 2006; McMahon et al., 2004), leaving much unknown about youths» and families» experiences over this period.