AN INTRODUCTION TO STATISTICS IN SURGICAL RESEARCH -HOW TO USE STATISTICAL METHODS-

It is very important to learn from surgical complications. For this reason, research is vital in surgical practice. Clinical epidemiology and statistics provide the methodology for analyzing data and drawing conclusions. Thus, every surgeon should understand the basics of clinical epidemiology in order to know how to improve his or her practice. This chapter provides a background in epidemiology and the basic statistical methods that are commonly use in bariatric surgical research. A thorough knowledge of the different types of clinical studies and commonly used statistical tests is imperative for the clinician to have in order to interpret data accurately. If necessary the help of a biostatistician will ensure appropriate statistical tests are applied and results and conclusions of studies are credible.

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Statistical methods in surgical research – a practical guide

European Surgery ◽

10.1007/s10353-004-0047-x ◽

2004 ◽

Vol 36 (2) ◽

pp. 80-84 ◽

Cited By ~ 32

Author(s):

A. Klingler

Keyword(s):

Statistical Methods ◽

Surgical Research ◽

Practical Guide

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Statistics and parallaxes

International Astronomical Union Colloquium ◽

10.1017/s0252921100073875 ◽

1978 ◽

Vol 48 ◽

pp. 7-29

Author(s):

T. E. Lutz

Keyword(s):

Experimental Design ◽

Statistical Methods ◽

Review Paper ◽

Systematic Errors ◽

Past Experience ◽

Random Errors ◽

Trigonometric Parallaxes ◽

Systematic And Random Errors

This review paper deals with the use of statistical methods to evaluate systematic and random errors associated with trigonometric parallaxes. First, systematic errors which arise when using trigonometric parallaxes to calibrate luminosity systems are discussed. Next, determination of the external errors of parallax measurement are reviewed. Observatory corrections are discussed. Schilt’s point, that as the causes of these systematic differences between observatories are not known the computed corrections can not be applied appropriately, is emphasized. However, modern parallax work is sufficiently accurate that it is necessary to determine observatory corrections if full use is to be made of the potential precision of the data. To this end, it is suggested that a prior experimental design is required. Past experience has shown that accidental overlap of observing programs will not suffice to determine observatory corrections which are meaningful.

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