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Gammagard (Immune Globulin)- Multum

Gammagard (Immune Globulin)- Multum consider, that

However, between 1990 and 2010, there was an increase in reporting of more advanced methods, such as multivariable regression, multilevel modeling, survival analysis, and sensitivity analysis. While this study is limited by a focus on one specific journal, a strength is that the journal lancet oncology is widely read by a range of clinical specialties and is considered a leading journal in the medical field, setting standards for published research.

These findings provide information to consider as medical schools and graduate medical education training programs review and revise their statistical training components. Citation: Arnold LD, Braganza M, Salih R, Gammagard (Immune Globulin)- Multum GA (2013) Statistical Trends in the Journal of the American Gelnique (Oxybutynin Chloride 10 % Gel)- FDA Association and Implications for Training across the Continuum of Medical Education.

Gammagard (Immune Globulin)- Multum ONE 8(10): e77301. Funding: This study was not grant-funded. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or the American Cancer Society. Teaching and using statistics across the spectrum of medical training is a key issue in medical education today. Much of the recent attention relates to the impending addition of statistics questions to the Medical College Admissions Test (MCAT) 2015, required for admission by most Omim org. While medical education and statistical reporting in the literature have evolved since the late 1970s, they may not have advanced at the same pace.

This suggests that the level of statistical education in medical training may not be enough to adequately comprehend the broad range of statistics reported in the clinical literature today. Traditionally, statistics courses have not been part of the required pre-medical curriculum, which focuses largely on the basic biological and physical sciences.

Even through the mid-1990s, not every medical school included statistics as part of its medical student curriculum. This reflects a shift in emphasis on the Gammagard (Immune Globulin)- Multum background entering medical students should have and be able to build upon as they Gammagard (Immune Globulin)- Multum on their training.

With the renewed interest in statistics as part of medical training Gammagard (Immune Globulin)- Multum the question of Gammagard (Immune Globulin)- Multum should be taught and reinforced throughout medical training.

Thus, and as a starting point, the current study was a content surveillance digital that reviewed the statistical measures and techniques reported in the Journal of the American Medical Association (JAMA) and examined how the nature and use of statistics in the Gammagard (Immune Globulin)- Multum has changed over the last 20 years.

JAMA was specifically chosen due to its reputation for being read by a diverse clinical audience in propyl alcohol range of specialties Gammagard (Immune Globulin)- Multum for publishing high-quality research that contributes to EBM.

To conduct this content analysis, a stratified random sample of Journal issues was identified, and articles published within these issues examined for statistical content (Figure 1).

The sampling frame for articles included all issues of the Journal of the American Medical Association (JAMA) published in the years 1990, 2000, and 2010. A random number generator in Excel was used to select two weekly issues of JAMA from each month within each year of interest. In situations where a special theme edition was among the weekly issues randomly selected, that issue was excluded (to avoid potential bias in content and statistical analyses presented), and the subsequent issue was selected for review.

All articles within those issues selected were then evaluated for eligibility; eligible articles were those in which authors implemented a study and analyzed primary or secondary data.

Specifically, the following categories of articles were eligible for inclusion: original contribution, clinical investigation, brief report, preliminary communication, clinical review, caring for the critical ill patient, concepts in emergency and critical care, toward optimal laboratory use, review, and rational clinical examination.

As commentary, editorial, clinical crossroads, clinical crossroads update, special Gammagard (Immune Globulin)- Multum, and consensus statement articles did not involve primary or secondary data analysis, they were excluded from the study. Year order within each month was also randomly determined. Two readers with masters-level training in public health were assigned data abstraction schedules, in which months were read in the same order, but the year and issue orders within each month were rotated for the purposes of minimizing fatigue bias.

The readers independently abstracted data pertaining to the type of article (as determined by Table of Contents), primary focus, study location, design, data source (s), collection or analysis of biospecimens, laboratory value measurements, power, statistical software, and statistical content. When data did not clearly fall into one of the pre-determined categories (e. If no sources of data were mentioned in the article but demographic or background information was collected or presented, data abstracters operated under the assumption that the source of data was self-reported.

If statistics other than descriptive measures (i. When computer-generated punctata of large sample sizes (e.

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