Literature DB >> 8561077

Multivariate statistical analysis for pathologist. Part I, The logistic model.

R T Vollmer1.   

Abstract

This paper reviews concepts of multivariate statistical modeling via the logistic regression model, which has become very popular for modeling the relationship between a positive clinical outcome and a variety of predictor variables. The process is illustrated using a composite of data from three large prostate specific antigen based screening studies of prostate cancer.

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Year:  1996        PMID: 8561077     DOI: 10.1093/ajcp/105.1.115

Source DB:  PubMed          Journal:  Am J Clin Pathol        ISSN: 0002-9173            Impact factor:   2.493


  4 in total

1.  Prospective comparison of T2w-MRI and dynamic-contrast-enhanced MRI, 3D-MR spectroscopic imaging or diffusion-weighted MRI in repeat TRUS-guided biopsies.

Authors:  Daniel Portalez; Gautier Rollin; Pierre Leandri; Benjamin Elman; Patrick Mouly; Frédéric Jonca; Bernard Malavaud
Journal:  Eur Radiol       Date:  2010-08-03       Impact factor: 5.315

2.  Prognostic criteria in nonfunctioning pancreatic endocrine tumours.

Authors:  S La Rosa; F Sessa; C Capella; C Riva; B E Leone; C Klersy; G Rindi; E Solcia
Journal:  Virchows Arch       Date:  1996-12       Impact factor: 4.064

3.  Depression and anxiety are not related to nummular headache.

Authors:  César Fernández-de-Las-Peñas; Cecilia Peñacoba-Puente; Almudena López-López; Begoña Valle; María Luz Cuadrado; Francisco J Barriga; Juan A Pareja
Journal:  J Headache Pain       Date:  2009-10-10       Impact factor: 7.277

4.  Patterns, factors associated and morbidity burden of asthma in India.

Authors:  Prakash Kumar; Usha Ram
Journal:  PLoS One       Date:  2017-10-26       Impact factor: 3.240

  4 in total

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