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Marcia A. Ciol

Researcher at University of Washington

Publications -  182
Citations -  19781

Marcia A. Ciol is an academic researcher from University of Washington. The author has contributed to research in topics: Randomized controlled trial & Health care. The author has an hindex of 43, co-authored 168 publications receiving 18187 citations. Previous affiliations of Marcia A. Ciol include Boston Children's Hospital & Veterans Health Administration.

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A longitudinal analysis of total 3-year healthcare costs for older adults who experience a fall requiring medical care.

TL;DR: To compare longitudinal changes in healthcare costs between fallers admitted to the hospital at the time of the fall, those not admitted to a hospital (nonadmitted), and nonfaller controls, test hypotheses related to differences in mean costs between and within groups over time.
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Prostate biopsy culture findings of men with chronic pelvic pain syndrome do not differ from those of healthy controls.

TL;DR: Bacteria cultured from transperineal prostatic biopsies do not differ between men with and without chronic pelvic pain syndrome, and are probably not etiologically related to the symptoms in the majority of men with chronic pelvicPain syndrome.
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Escherichia coli O157:H7 Infections: Discordance between Filterable Fecal Shiga Toxin and Disease Outcome

TL;DR: The fecal Stx type did not correlate with the Stx expressed by bacteria grown in vitro and was not related to bacterial titer in the studied samples, suggesting that therapeutic and diagnostic strategies directed toward binding or identifying intraintestinal fecalStx may have limited success.
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Validity and Responsiveness of the National Institutes of Health Chronic Prostatitis Symptom Index

TL;DR: The NIH-CPSI total score appears to be a valid, reliable, responsive measure of prostatitis symptoms in primary and secondary care patients and the findings support the use of the total score as an outcome measure.
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Understanding the Use of Weights in the Analysis of Data From Multistage Surveys

TL;DR: The principles involved in the design of multistage samples, the calculation of weights, and their use in the data analysis are reviewed, focusing on their importance in the estimation of population values.