What are the meta analysis methods and what are the basic steps of meta analysis?

Introduction to analysis software. Analysis of results and heterogeneity. Data extraction during analysis.

Analyze the process and evaluate it. Introduction to Analysis. Lecture 5: Data|Lecture 3: Data|Lecture 7: Data|Lecture 6: Data|Lecture 9: Data <>

1 Significant significance: In general, only clinical case questions of significant significance are suitable for meta-analysis. It takes at least two or three months to do a meta-analysis to ensure quality. If the analysis starts with the wrong topic, it will not only waste time, but also have little chance of success.

2 Controversial issues are more suitable for meta-analysis than usual issues. By summarizing and comparing the results of several studies, more reliable conclusions can be obtained. Controversial issues can be obtained through literature searches or by consulting experts in the field.

3 Theme InnovationIf you want to ensure the innovation of the theme, you must choose the aspects that no one has done yet. You can use literature search to understand what aspects of meta-analysis at home and abroad have not been done, and if so, is the quality low? 4. Questions and conclusions: The questions are clearly stated and the conclusions are clear.

5 There are clear effect indicatorsFor risk factors, the OR RR value can be used as the effect index, such as tumor disease**, xx-year survival rate is the effect index, etc. 6 An ideal primitive** would make the meta-analysis half the battle. Example:

Risk factors should be studied in case-control and cohort studies; The necessary information is required. For example, if you study risk factors, you must be able to extract the data from the four-grid table; The number should not be too small.

Otherwise, the effect of aggregation will not be achieved, and if there are too many of them, of course, there is nothing wrong with it, and the results will be more reliable, but the time required for research will increase. And the quality should be high, and the design should be scientific. 7 There are too many studies that are suitable for inclusion in the study, and the problems are not clear, and the study is difficult to complete.

There is a lack of representativeness of the generalized application, and there are too few studies included in the literature to achieve the effect of aggregation. Usually 10 to 30 articles were included in the studies for meta-analysis.

1. Clearly and concisely put forward the problems that need to be solved, formulate a search strategy, collect randomized controlled trials comprehensively and extensively, 2. Determine the inclusion and exclusion criteria, eliminate the literature that does not meet the requirements, and select and extract data, including the original result data, charts, etc.

3. Quality assessment and characterization of each trial, statistical processing, interpretation of results, conclusion and evaluation, maintenance and updating of data.

Advantages of meta-analysis:

1. Be able to evaluate the consistency of multiple research results on the same topic.

2. Systematically evaluate and summarize the results of multiple studies on the same topic.

3. Put forward some new research questions and point out the direction for further research.

4. Meta-analysis is an option when subject to certain conditions, such as time or study subject limitations.

5. From the perspective of methodology, evaluate the research design of a topic at this stage.

Meta-analysis.

It refers to the systematic and quantitative comprehensive analysis of the results of multiple independent studies on the same topic by statistical methods to provide a quantitative average effect.

Features of meta-analysis.

Meta-analysis is essentially an observational study, which also follows the basic principles of scientific research, including asking questions, searching relevant literature, formulating inclusion and exclusion criteria for literature, extracting data, statistical processing, reporting results, and other basic research processes. The difference in general studies is that they use data from the results of each independent study that already exists (published and unpublished), rather than the need to analyze the raw data of each observation in the independent study.

The purpose of meta-analysis: to increase the efficiency of statistical testsThrough the synthesis of the results of multiple small samples in similar topics, the purpose of increasing the sample size, improving and improving the test efficiency can be achieved. Quantitative estimation of the average level of the study effectWhen the results of multiple similar studies are inconsistent in magnitude and direction, the average level of the study effect can be obtained through meta-analysis, and a more definite conclusion can be drawn about the controversial or even contradictory research results, and the effective range of effect estimation can be more precise.

Hello, Scier considers meta-analysis not to be a specific type of study per se, but rather a research method that can be used to synthesize and analyze the results of multiple independent studies. Meta-analyses can be used to review, evaluate, and summarize the results of different types of studies, such as randomized controlled trials, cohort studies, case-control studies, etc. There are some common application scenarios in the trapped:

1.Assessing drug efficacy: Assessing the overall effect and safety of a drug by synthesizing the results of multiple randomized controlled trials to provide decision support to clinicians and decision-makers.

2.Compare the effects of different preventive measures: Compare the preventive effects of different preventive measures (e.g., vaccines, masks, etc.) to provide a scientific basis for public health decision-making.

3.Investigate disease-specific risk factors: Assess the impact of a particular disease on a particular disease by combining the results of multiple case-control studies.

4.Summarizing social science research: Synthesizing and summarizing the results of multiple social science studies to summarize the characteristics and laws of a certain social phenomenon.

In conclusion, meta-analysis is a research method that can be used to synthesize and analyze the results of multiple independent studies to draw more credible and statistically significant conclusions, providing a scientific basis for policymakers.

Hope it helps.

Yes. Meta-analysis.

It is a statistical method used in systematic reviews, which is a method of synthesizing the results of previous similar studies.

Meta-analysis is defined as a statistical method in which the results of several studies are combined into a single estimate in a review of the literature on delayed information. To put it simply, meta-analysis is a type of statistical method, ranging from completely randomized design, to factorial design, and so on.

Meta-analysis is an observational study in nature. It also follows the basic principles of scientific research, including the basic research process of asking questions, searching for relevant literature, formulating criteria for inclusion and exclusion of literature, extracting data and information, statistical processing, and reporting results. The difference from general studies is that the results of each independent study are used in an existing (published and unpublished) basis, rather than the need to analyze the raw data of each observation in the independent studies.

Literature review research.

The review reflects the historical status, latest progress, academic insights and suggestions of a sub-discipline or important topic in a certain field, and it can often reflect the new dynamics, new trends, new levels, new principles and new technologies of related issues.

Literature review is aimed at analyzing and describing what work has been done by predecessors and how far it has progressed in a certain research field, and it is required to make a detailed review of the dynamics and frontier issues of related research at home and abroad, and provide references. The author generally does not express personal opinions and suggestions in it, nor does he make any comments, but only reflects the facts objectively and generally.

A systematic review is a comprehensive collection of all relevant studies in the world, a rigorous evaluation of all included studies one by one, a comprehensive analysis and evaluation of all the research results, and a meta-analysis (a quantitative and synthetic statistical method) if necessary, to draw comprehensive conclusions (valid, ineffective, and should be further studied), and to provide scientific evidence that minimizes bias as much as possible and is close to the truth.

Meta-analysis is a statistical method first proposed by psychologist Glass in 1976 and first applied to educational research.

The comprehensive quantification of the results of multiple studies in the field of research has been applied to the medical field and has been increasingly valued.

Systematic reviews and meta-analyses are used together or cross-sectionally, and if they are precisely distinguished, can be referred to as meta-analyses when a systematic review uses a quantitative synthesis method to statistically process data; Qualitative systematic reviews were conducted without statistical methods. In other words, there are two types of systematic reviews: qualitative and quantitative, the latter is generally meta-analysed.

Meta-analysis of gold content.

1. Meta-analysis is a kind of systematic analysis in a broad sense. It is a quantitative systematic review, which uses statistical methods to analyze, synthesize, and summarize the results of each study.

2. A summary is a summary and comprehensive statement of the performance of a certain thing, a certain stage, a certain topic, a certain task, or a certain person or a certain team in a certain work that happened in the past period of time.

One. Meta-analysis is a systematic review that uses quantitative methods to summarize (summarize) the results of multiple studies, and is a statistical method in which several research results are combined into a single numerical estimate in a literature review. This is a comprehensive statistical analysis method for the purpose of synthesizing the findings of the existing Buzhen, and conducting a comprehensive statistical analysis of the same problem.

At present, it has been developed as: the analysis process and systematic method of synthesizing the results of multiple similar studies to quantitatively combine the research effects Differences between traditional review and meta-analysis: II.

The process of meta-analysis 1. Raise questions and hypotheses Judge the value of the study: theoretical value and clinical application value In terms of theoretical value, it can be seen whether reproducible research can be achieved, solve controversial inconsistencies, and indicate the direction of future research Application value mainly refers to guiding clinical practice (control of potential factors affecting efficacy) In terms of feasibility, the number should not be too small and unconvincing; Is there a theoretical support? Several factors that determine whether a meta-analysis is possible The question raises:

study participants, study design, treatment factors (interventions), study effects (dependent variables, outcome variables); At the same time, it is also necessary to consider the hot issues: the epidemiological investigation of clinical brigades; Hot literature in the field, etc. The hypothesis is mainly based on the theoretical basis and existing relevant research, pay attention to the quality of the evidence (high impact factor journal + high cited literature) Summarize and evaluate meta-analysis studies on the same topic:

Determine the type of effect amount and adjust the variables; and put forward corresponding hypotheses (choose a random model or a fixed model) Clarify the effect size: the intervention effect size generally refers to the combined effect volume d and g; d: Uncorrected normalized mean difference (uniform dimension applies); g:

1. Comprehensive analysis from the system: PICO factors (with figure below); Clause.

2. Identify the influencing factors of controversial or inconsistent results in similar studies; Clause.

Third, there are factors that have not yet been studied, try to code. PICO Factors 2. Data Collection and Evaluation Literature Retrieval and Screening (Comprehensive: Computer Search, Manual Search, etc. - Avoid Selection Bias) 1

1. Be able to evaluate the consistency of multiple research results on the same topic.

2. Systematically evaluate and summarize the results of multiple studies on the same topic.

3. Put forward some new research questions and point out the direction for further research.

4. Meta-analysis is an option when subject to certain conditions, such as time or study subject limitations.

5. From the perspective of methodology, evaluate the research design of a topic at this stage.

6) identify issues that are not addressed in certain individual studies;

7) For clinical studies with small samples, meta-analysis can be used to calculate the accuracy of efficacy and effect size estimates.

Therefore, well-designed and rigorous meta-analyses provide a more objective assessment of the evidence (compared to traditional descriptive reviews), a more accurate and objective assessment of effect measures, and can account for heterogeneity between different findings.

Meta-analysis is in line with the process of people's understanding of objective laws and is related to evidence-based medicine.

The idea of complete agreement is a huge progress.

SCIER considers meta-analysis to be a statistical analysis method that aims to systematically synthesize and summarize the results of multiple independent studies to draw more credible and statistically significant conclusions. It can be used to evaluate the overall effect of a hypothesis or effect, which can help decision-makers make more accurate decisions.

In meta-analysis, it is first necessary to identify a group of independent studies that meet specific criteria, and then extract relevant data from each study, such as sample size, effect size, error, etc., for integration and aggregation. Different statistical models were used to analyze the data and merge the data to obtain the overall effect size and confidence interval to evaluate the overall effect of the research results.

Meta-analysis is widely used in medicine, psychology, social sciences and other fields, especially in the evaluation of drug efficacy, preventive measures and health policies, which has important practical significance and application value.