Literature DB >> 2200604

Statistical methods in microbiology.

D M Ilstrup1.   

Abstract

Statistical methodology is viewed by the average laboratory scientist, or physician, sometimes with fear and trepidation, occasionally with loathing, and seldom with fondness. Statistics may never be loved by the medical community, but it does not have to be hated by them. It is true that statistical science is sometimes highly mathematical, always philosophical, and occasionally obtuse, but for the majority of medical studies it can be made palatable. The goal of this article has been to outline a finite set of methods of analysis that investigators should choose based on the nature of the variable being studied and the design of the experiment. The reader is encouraged to seek the advice of a professional statistician when there is any doubt about the appropriate method of analysis. A statistician can also help the investigator with problems that have nothing to do with statistical tests, such as quality control, choice of response variable and comparison groups, randomization, and blinding of assessment of response variables.

Mesh:

Year:  1990        PMID: 2200604      PMCID: PMC358156          DOI: 10.1128/CMR.3.3.219

Source DB:  PubMed          Journal:  Clin Microbiol Rev        ISSN: 0893-8512            Impact factor:   26.132


  11 in total

1.  Basic principles of ROC analysis.

Authors:  C E Metz
Journal:  Semin Nucl Med       Date:  1978-10       Impact factor: 4.446

2.  Statistics for clinicians. 2. Graphic displays--histograms, frequency polygons, and cumulative distribution polygons.

Authors:  P C O'Brien; M A Shampo
Journal:  Mayo Clin Proc       Date:  1981-02       Impact factor: 7.616

3.  Primer on certain elements of medical decision making.

Authors:  B J McNeil; E Keller; S J Adelstein
Journal:  N Engl J Med       Date:  1975-07-31       Impact factor: 91.245

4.  Analyzing data from ordered categories.

Authors:  L E Moses; J D Emerson; H Hosseini
Journal:  N Engl J Med       Date:  1984-08-16       Impact factor: 91.245

5.  3. Graphic displays--scatter diagrams.

Authors:  P C O'Brien; M A Shampo
Journal:  Mayo Clin Proc       Date:  1981-03       Impact factor: 7.616

6.  Statistical approaches to the analysis of receiver operating characteristic (ROC) curves.

Authors:  B J McNeil; J A Hanley
Journal:  Med Decis Making       Date:  1984       Impact factor: 2.583

7.  Statistics for clinicians. 5. One sample of paired observations (paired t test).

Authors:  P C O'Brien; M A Shampo
Journal:  Mayo Clin Proc       Date:  1981-05       Impact factor: 7.616

8.  Introduction to sample size determination and power analysis for clinical trials.

Authors:  J M Lachin
Journal:  Control Clin Trials       Date:  1981-06

9.  Statistics for clinicians. 8. Comparing two proportions: the relative deviate test and chi-square equivalent.

Authors:  P C O'Brien; M A Shampo
Journal:  Mayo Clin Proc       Date:  1981-08       Impact factor: 7.616

10.  Statistics for clinicians. 1. Descriptive statistics.

Authors:  P C O'Brien; M A Shampo
Journal:  Mayo Clin Proc       Date:  1981-01       Impact factor: 7.616

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  54 in total

1.  Clinical comparison of nonvented aerobic BacT/Alert blood culture bottle and standard aerobic bottle for detection of microorganisms in blood.

Authors:  J W Snyder; K S Benzing; G K Munier; G D Bostic; P S Bozigar; R Hanna; M J Zervos
Journal:  J Clin Microbiol       Date:  2000-10       Impact factor: 5.948

2.  Evaluation of the ImmunoCardSTAT! rotavirus assay for detection of group A rotavirus in fecal specimens.

Authors:  P H Dennehy; M Hartin; S M Nelson; S F Reising
Journal:  J Clin Microbiol       Date:  1999-06       Impact factor: 5.948

3.  Evaluation of a plastic nonvented aerobic blood culture bottle for use with the BacT/ALERT microbial detection system.

Authors:  J W Snyder; G K Munier; G D Bostic; P S Bozigar; R Hanna
Journal:  J Clin Microbiol       Date:  2002-12       Impact factor: 5.948

4.  A new alkaline pH-adjusted medium enhances detection of beta-hemolytic streptococci by minimizing bacterial interference due to Streptococcus salivarius.

Authors:  K P Dierksen; N L Ragland; J R Tagg
Journal:  J Clin Microbiol       Date:  2000-02       Impact factor: 5.948

5.  Evaluation of a fluorescent DNA hybridization assay for the detection of Neisseria gonorrhoeae.

Authors:  R J Cano; J C Palomares; M J Torres; R E Klem
Journal:  Eur J Clin Microbiol Infect Dis       Date:  1992-07       Impact factor: 3.267

6.  Detection of human cytomegalovirus in clinical specimens by centrifugation culture with a nonhuman cell line.

Authors:  C A Gleaves; D A Hursh; J D Meyers
Journal:  J Clin Microbiol       Date:  1992-04       Impact factor: 5.948

7.  Sensitive EDTA-based microbiological assays for detection of metallo-{beta}-lactamases in nonfermentative gram-negative bacteria.

Authors:  Patricia Marchiaro; María A Mussi; Viviana Ballerini; Fernando Pasteran; Alejandro M Viale; Alejandro J Vila; Adriana S Limansky
Journal:  J Clin Microbiol       Date:  2005-11       Impact factor: 5.948

8.  Predicting human immunodeficiency virus type 1-positive sera by using two enzyme immunoassay kits in a parallel testing format.

Authors:  K Fonseca; C M Anand
Journal:  J Clin Microbiol       Date:  1991-11       Impact factor: 5.948

9.  A comparison between the Strep A Rapid Test Device and conventional culture for the diagnosis of streptococcal pharyngitis.

Authors:  Kevin R Forward; David Haldane; Duncan Webster; Carolyn Mills; Cheryl Brine; Diane Aylward
Journal:  Can J Infect Dis Med Microbiol       Date:  2006-07       Impact factor: 2.471

10.  Comparison of the Syva MicroTrak enzyme immunoassay and Gen-Probe PACE 2 with cell culture for diagnosis of cervical Chlamydia trachomatis infection in a high-prevalence female population.

Authors:  L M Clarke; M F Sierra; B J Daidone; N Lopez; J M Covino; W M McCormack
Journal:  J Clin Microbiol       Date:  1993-04       Impact factor: 5.948

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