211 |
Psychological, Pharmaceutical, or Neurosurgical: A Meta-Analysis of Treatments for Tourette's SyndromeMcGinley, Emmett W. 21 May 2008 (has links)
No description available.
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212 |
Consistency or Discord: A Meta-Analysis of Police Officer Decisions to Search and Use ForceBolger, Philip C. January 2013 (has links)
No description available.
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213 |
META ANALYSIS OF THE ASSOCIATION OF p53 CODON 72 VARIATION AND CERVICAL CANCERXUE, BIN 31 May 2005 (has links)
No description available.
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214 |
RECONSIDERING DRUG COURT EFFECTIVENESS: A META-ANALYTIC REVIEWSHAFFER, DEBORAH KOETZLE 03 October 2006 (has links)
No description available.
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215 |
The Impact of Imprisonment on Reoffending: A Meta-AnalysisJonson, Cheryl Lero January 2010 (has links)
No description available.
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216 |
A Meta-Analytic Review of the Correlates of Perceived Stress among Police OfficersWebster, Jennifer H. 16 October 2012 (has links)
No description available.
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217 |
Alkylenedioxy Containing PEEK Polymers Containing Meta LinkagesOhaeri, James Uchenna 24 May 2016 (has links)
No description available.
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218 |
Effects of CO2 and Nitrogen on Plant Response to Heat StressWANG, DAN January 2008 (has links)
No description available.
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219 |
Meta-Analysis: The Effect of the Drug Fosamax on Bone Mineral Density in Multi-Dose and Multi-Year Osteoporosis Clinical Studies / Meta-Analysis: Effect of the Drug Fosamax on OsteoporosisCihon, Frank 12 1900 (has links)
Thesis / Master of Science (MS)
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220 |
Meta-Analysis: A Comparison of Fixed Effects and Random Effects Models with Illustrative ExamplesChen, Fang 12 1900 (has links)
Meta-analysis has been widely used in clinical research because it provides a useful tool for combining results from a series of trials addressing the same question. Two major approaches for study-to-study variation can be used in a meta-analysis: the fixed effects model which assumes that each study has the same true effect size, and the random effects model which assumes that the true effect size is a random variable that varies between studies. When there are covariates arising from the study, regression models can be used to explain the effects of these covariates on the between study variation in effect size. The purpose of this project is to draw some general conclusions about the
statistical methods used in meta-analyses by re-examining several clinical examples which presented some problems. Four illustrative examples of recent meta-analyses were selected and re-examined. Both fixed effects and random effects models were used. In addition, regression models were used in two examples. Some general conclusions were made about the statistical aspects of meta-analysis
from this project. The overall estimate of the fixed effects model tends to be overly influenced by large trials and may results in contradictory conclusions when extreme trials (small vs. large samples) are combined. Therefore, it is advocated that the weights allocated to each trial in any meta-analysis should be explicitly calculated and displayed. The random effects model takes a more balanced account of all studies and considers other unknown factors which may affect the effect size. Therefore, the random effects model and random effects regression model are more appropriate for these clinical data meta-analyses. / Thesis / Master of Science (MS)
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