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I will conduct a systematic review and metanalysis
Systematic Reviews and Meta analysis researcher
A top-rated and Expert Research Assistant with a Biomedical Statistics degree with 4 years of experience in medical research and statistical analyses. I have worked on primary and secondary research p...
About this Gig
A systematic review and meta-analysis is designed to summarize the outcomes of available studies and offers a high level of evidence-based findings on the effectiveness of interventions. I'll be:
(a) Identifying a well-focused clinically relevant research question while following suitable frameworks including PICO
(b) Developing a detailed review protocol with strict inclusion and exclusion criteria and registering the protocol at different registries such as The Cochrane Collaboration and PROSPERO
(c) Performing a systematic literature search of multiple databases (includes PubMed, Embase, MEDLINE, Web of Science, and Google Scholar).
D) Performing data extraction and meta-analysis including; analysis of difference ( mean difference, standardized mean difference, Risk ratio, and Odds ratio), a meta-analysis of odds ratio to reveal the risk factors of an event, summary ROC analysis, and survival analysis.
--I'm savvy in the following analytical tools ;RevMan, STATA, Excel, R
--Analysis Plot Forest plot, funnel plot
Please contact me before placing the order
Regards
Cornelius
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FAQ
Why should I conduct a systematic literature review?
Systematic literature reviews offer several benefits, including: Providing a comprehensive summary of existing research. Identifying gaps in the current knowledge. Informing decision-making and policy development. Establishing a foundation for new research questions.
What are inclusion and exclusion criteria?
Inclusion criteria are specific characteristics that studies must possess to be included in the review. Exclusion criteria are characteristics that lead to the rejection of studies. These criteria ensure that studies selected are relevant to the research question and meet specific quality standards.
How do I search for relevant studies?
You conduct a systematic search by using databases, libraries, online repositories, and search engines. Keywords and search terms related to your research question are used to identify potentially relevant studies. The search strategy is designed to be comprehensive and reproducible.
How do I assess the quality of included studies?
Quality assessment involves evaluating the methodological rigor and validity of each study. Various tools and checklists exist for different study designs. Common aspects assessed include study design, sample size, data collection methods, and potential biases.
What is data extraction?
Data extraction involves systematically extracting relevant information from each included study. This includes details about the study design, participants, interventions, outcomes, and results. This data is then used for analysis and synthesis.
What is meta-analysis?
Meta-analysis is a statistical technique used to combine and analyze the results from multiple independent studies on the same topic to obtain an overall estimate of the effect size or relationship between variables. It provides a more robust and precise estimate by synthesizing data from various so
How do I choose studies for inclusion in a meta-analysis?
Studies for inclusion should meet specific criteria: Relevance to your research question. Availability of necessary data. Comparable outcome measures. Similar study design and context.
What is effect size in meta-analysis?
Effect size quantifies the magnitude of a relationship or difference between variables. It's a standardized measure that allows for comparison across studies. Common effect size metrics include Cohen's d, odds ratio, relative risk, and correlation coefficients.
What is heterogeneity in meta-analysis?
Heterogeneity refers to the variability in effect sizes across different studies. It can arise due to differences in study populations, interventions, methodologies, and more. Assessing heterogeneity is crucial before deciding whether to conduct a meta-analysis and what type of analysis to use.
