Analyzing MIR-Variant Associations Across Countries

Associations between the MIRs and variants among countries were analysed by linear regression as described previously.7 (link) R² changes and analysis of variance were analysed using SPSS statistical software version 15.0 (SPSS, Chicago, Illinois, USA). P values <0.05 of two-sided tests were considered statistically significant. Scatter plots were generated via Microsoft Excel 2010.

Partial Protocol Preview
This section provides a glimpse into the protocol.
The remaining content is hidden due to licensing restrictions, but the full text is available at the following link: Access Free Full Text.

Lee H.L., Peng C.M., Huang C.Y., Wu S.Y., Tsai M.C., Wang C.C., Chen S.L., Lin C.C., Huang C.N, & Sung W.W. (2018). Is mortality-to-incidence ratio associated with health disparity in pancreatic cancer? A cross-sectional database analysis of 57 countries. BMJ Open, 8(7), e020618.

Publication 2018

SPSS statistical software version 15.0

Corresponding Organization : Chung Shan Medical University

Other organizations : National Taiwan University Hospital, Kaohsiung Veterans General Hospital

Top 5 similar protocols

Variable analysis

independent variables

MIRs (microRNAs)

dependent variables

Variants among countries

control variables

Not explicitly mentioned

positive controls

Not specified

negative controls

Not specified

Annotations

Based on most similar protocols

Etiam vel ipsum. Morbi facilisis vestibulum nisl. Praesent cursus laoreet felis. Integer adipiscing pretium orci. Nulla facilisi. Quisque posuere bibendum purus. Nulla quam mauris, cursus eget, convallis ac, molestie non, enim. Aliquam congue. Quisque sagittis nonummy sapien. Proin molestie sem vitae urna. Maecenas lorem.

As authors may omit details in methods from publication, our AI will look for missing critical information across the 5 most similar protocols.

About PubCompare

Our mission is to provide scientists with the largest repository of trustworthy protocols and intelligent analytical tools, thereby offering them extensive information to design robust protocols aimed at minimizing the risk of failures.

We believe that the most crucial aspect is to grant scientists access to a wide range of reliable sources and new useful tools that surpass human capabilities.

However, we trust in allowing scientists to determine how to construct their own protocols based on this information, as they are the experts in their field.

Ready to get started?

Revolutionizing how scientists
search and build protocols!