Meta analysis [whole process, uncertainty analysis] method based on R language and meta machine learning

Meta analysis It is aimed at a certain scientific research problem , According to a clear search strategy 、 Select the criteria for screening literature 、 Adopt strict evaluation methods , Collect research results from different sources 、 Methods of consolidation and quantitative statistical analysis , First appeared in “ Evidence based medicine ”, It has been widely used in Agriculture and forestry ecology , Resources and environment .R Language has complete and effective data processing 、 Statistical analysis and preservation mechanism , Data can be analyzed and displayed directly , The command format is simple 、 The results are readable , Contains many for Meta Analysis package , Carry out Meta An effective platform for integrated analysis and evaluation . This tutorial is for Meta Principle of analysis 、 The formula 、 Operation steps and result analysis , Advanced applications for detailed analysis , Combine several examples , Have a good command of Meta Analyze the whole process and uncertainty analysis , Combined with machine learning and other methods Meta The extended application of analysis in literature big data .

Meta Topic selection and retrieval of analysis

Meta Topics of analysis and literature search

What is? Meta analysis

Meta Analysis of the topic selection strategy

Literature search database

Precise retrieval strategy , How to retrieve all 、 Search accuracy

Management and cleaning of documents , How to formulate the inclusion and exclusion criteria of literature

Literature data acquisition skills

Bibliometric analysis CiteSpace And research hotspot analysis

 Meta Analysis and R Language foundation

Meta Common analysis software and R Language foundation

R Language does Meta The advantages of analysis and 《Nature》、《Science》 Classic case application

R Basic operation of language

R Language data cleaning methods

R Language Meta Analyze the introduction and installation of common packages and related plug-ins

from From programming calculation to calling Meta package （meta、metafor、dmetar、esc、metasens、metamisc、meta4diag、gemtc、robvis、netmeta、brms etc. ）, How to analyze the whole process meta Calculation 、meta The diagnosis 、 Bayes meta、 Reticular meta、 Subgroup analysis 、meta Regression and mapping .

 R Language Meta Analysis and mapping

R Language Meta analysis

R Language Meta Analysis process

Various types meta Effect value and cumulative effect value calculation

Continuous data RR、MD And SMD

Classified data RR and OR

Meta Subgroup analysis

R Fundamentals of language graphics visualization

How to use ggplot2 Draw a beautiful forest map

R Language Meta regression analysis

【 Live class 】 be based on R Linguistic Meta analysis 【 The whole process 、 Uncertainty analysis 】 Methods and Meta Advanced applications of machine learning

R Language Meta regression analysis

Meta Regression statistical analysis theory and Application

Meta Similarities and differences between regression and ordinary regression analysis

Fixed effect and random effect analysis

Bubble chart （bubble） The draw

R Language Meta Advanced diagnosis

Meta Diagnostic analysis （t2、I2、H2、Q Equal statistics ）

Heterogeneity test

Sensitivity analysis

Bias analysis

risk analysis