Minimum Sample Size for Comparative Study

Sample size was calculated based on results obtained in earlier publication.[8 (link)] Minimum sample size required for the case group was 17 and for the control group was 68, with a total of 85.
Statistical analysis was performed using the SPSS program for Windows, version 17.0 (SPSS Inc., Chicago, Illinois, USA). Chi-square test was used for comparisons between the study groups with respect to percentage. P < 0.05 was considered statistically significant.

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.

Singh P.N., Pathak A.M., Singh P, & Desai M. (2022). Selecting Euploid Embryos for Transfer by Preimplantation Genetic Testing with the Help of Next-Generation Sequencing in Poor Prognosis Patients: A Retrospective Cohort Analysis. Journal of Human Reproductive Sciences, 15(2), 157-162.

Publication 2022

SPSS program for Windows, version 17.0

Top 5 similar protocols

Variable analysis

independent variables

Not explicitly mentioned

dependent variables

Not explicitly mentioned

control variables

Not explicitly mentioned

controls

The minimum sample size required for the case group was 17 and for the control group was 68, with a total of 85.

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!