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Statistical calculation method for detecting publication bias based on arctangent transformation

A statistical calculation and arctangent technology, applied in the field of evidence-based medicine, it can solve the problems of incomplete data and use restrictions, and achieve the effect of high test efficiency and easy realization.

Inactive Publication Date: 2018-03-23
TIANJIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, some of the included studies have incomplete data, which limits the use of some improved methods

Method used

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  • Statistical calculation method for detecting publication bias based on arctangent transformation
  • Statistical calculation method for detecting publication bias based on arctangent transformation
  • Statistical calculation method for detecting publication bias based on arctangent transformation

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Experimental program
Comparison scheme
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Embodiment Construction

[0011] Below in conjunction with specific embodiment and appended figure 1 The present invention is further described. figure 1 is a flow chart of the method of the present invention. The specific process is as follows:

[0012] Step 1: Take the most commonly used OR value in epidemiological research as the effect index. A 2 × 2 table for a single case-control study follows.

[0013]

case group

control group

total

exposed

a

b

M 1

non exposed

c

d

M 2

total

N t

N c

n

[0014] a and b are the number of events in the case and control groups, respectively, and c and d are the number of non-events in the case and control groups, respectively. Nt and Nc are the total number of cases and controls, respectively, and n is the sample size of a single study. The estimated logOR of the effect size is

[0015]

[0016] The estimated variance is

[0017]

[0018] Step 2: After performing arctangent tra...

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PUM

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Abstract

The invention discloses a statistical calculation method for detecting publication bias based on arctangent transformation. The method includes the following contents of calculating the estimated value of effect size and variance; performing arctangent transformation on the effect size, replacing the variance with the reciprocal of a sample size to obtain a new variance; and according to the new variance, calculating the standard error of the effect size, and performing weighted linear regression on the effect size and the standard error after the arctangent transformation, wherein the weightis the reciprocal of the sum of the reciprocal of the sample size of a case group and the reciprocal of the sample size of a control group. The method reduces the dependency between the effect size and the variance of the effect size based on stabilizing the size of the effect size. The performance and the applicability to specific research questions are evaluated through a simulation study, and the method is a good alternative method with good performance.

Description

technical field [0001] The invention relates to the field of evidence-based medicine, in particular to a statistical calculation method for detecting publication bias based on arctangent transformation. Background technique [0002] Publication bias is one of the threats to the validity of meta-analysis, and it is an inevitable problem in meta-analysis. Publication bias occurs when it is determined that published studies included in a meta-analysis are not representative of all studies that have been conducted. Publication bias occurs unintentionally when researchers do not publish or when journals reject studies with nonsignificant or negative results and when researchers remove nonsignificant findings or data from results. At present, many foreign scholars have explored the method of testing publication bias by using computer simulation methods, while the research on publication bias in my country is relatively backward. There are still many studies that ignore the issue...

Claims

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Application Information

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IPC IPC(8): G06F17/18
CPCG06F17/18
Inventor 林旺冷雪冯远明
Owner TIANJIN UNIV
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