Literature DB >> 22844209

Easy way to learn standardization : direct and indirect methods.

N N Naing1.   

Abstract

In direct age-adjustment, a common age-structured population is used as standard. This population may actually exist (e.g., United States population, 1999) or may be fictitious (e.g., two populations may be combined to create a standard). In indirect age-adjustment, a common set of age-specific rates is applied to the populations whose rates are to be standardized. The simplest and most useful form of indirect adjustment is the standardized mortality ratio (SMR) (5).

Keywords:  direct; easy way; indirect; standardization methods

Year:  2000        PMID: 22844209      PMCID: PMC3406211     

Source DB:  PubMed          Journal:  Malays J Med Sci        ISSN: 1394-195X


  56 in total

1.  Epidemiology of paraneoplastic neurological syndromes: a population-based study.

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Journal:  J Neurol       Date:  2019-09-24       Impact factor: 4.849

2.  Surgical treatment of macular holes with and without the use of autologous platelet-rich plasma.

Authors:  Alexander A Shpak; Dmitry O Shkvorchenko; Eugenia A Krupina
Journal:  Int Ophthalmol       Date:  2021-01-03       Impact factor: 2.031

3.  The value of trauma patients' centralization: an analysis of a regional Italian Trauma System performance with TMPM-ICD-9.

Authors:  Paola Fugazzola; Vanni Agnoletti; Silvia Bertoni; Costanza Martino; Matteo Tomasoni; Federico Coccolini; Emiliano Gamberini; Emanuele Russo; Luca Ansaloni
Journal:  Intern Emerg Med       Date:  2021-01-07       Impact factor: 3.397

4.  Regional Variation of Computed Tomographic Imaging in the United States and the Risk of Nephrectomy.

Authors:  H Gilbert Welch; Jonathan S Skinner; Florian R Schroeck; Weiping Zhou; William C Black
Journal:  JAMA Intern Med       Date:  2018-02-01       Impact factor: 21.873

Review 5.  Transparency in real-world evidence (RWE) studies to build confidence for decision-making: Reporting RWE research in diabetes.

Authors:  Elisabetta Patorno; Sebastian Schneeweiss; Shirley V Wang
Journal:  Diabetes Obes Metab       Date:  2020-04       Impact factor: 6.577

6.  Incidence and survival rates of ovarian cancer in low-income women in Sudan.

Authors:  Dafalla O Abuidris; Hsin-Yi Weng; Ahmed M Elhaj; Elgaylani Abdallah Eltayeb; Mohamed Elsanousi; Rehab S Ibnoof; Sulma I Mohammed
Journal:  Mol Clin Oncol       Date:  2016-10-31

7.  Using compartmental models to simulate directed acyclic graphs to explore competing causal mechanisms underlying epidemiological study data.

Authors:  Joshua Havumaki; Marisa C Eisenberg
Journal:  J R Soc Interface       Date:  2020-06-24       Impact factor: 4.118

8.  Disparities in the impact of overweight on hypertension among Asians: a Japanese and Thai population-based study.

Authors:  Praew Kotruchin; Satoshi Hoshide; Hiroshi Kanegae; Chatlert Pongchaiyakul; Kazuomi Kario
Journal:  J Hum Hypertens       Date:  2018-10-03       Impact factor: 3.012

9.  Lung Cancer: A Nationwide Study to Characterize Sex Differences, Incidence, and Spatial Patterns in Portugal.

Authors:  Teresa Guerreiro; Luis Antunes; Joana Bastos; Alexandra Mayer; Goncalo Forjaz; AntÓnio Araujo; Carla Nunes
Journal:  In Vivo       Date:  2020 Sep-Oct       Impact factor: 2.155

10.  Changes in prostate cancer detection rate of MRI-TRUS fusion vs systematic biopsy over time: evidence of a learning curve.

Authors:  B Calio; A Sidana; D Sugano; S Gaur; A Jain; M Maruf; S Xu; P Yan; J Kruecker; M Merino; P Choyke; B Turkbey; B Wood; P Pinto
Journal:  Prostate Cancer Prostatic Dis       Date:  2017-08-01       Impact factor: 5.554

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