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Research Data Management
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In order to ensure parity between experimental and control groups we have prepared a mini-guide. Here are some useful statistical techniques researchers will need to…
- Marisha Fonseca
- June 19, 2024
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Pearson's correlation coefficient is a highly popular and valuable tool. It helps researchers understand the relationship between continuous variables and draw…
- Marisha Fonseca
- June 6, 2024
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Correlation coefficients are useful for researchers seeking to understand relationships between variables. By comprehending the nuances of positive and negative…
- Marisha Fonseca
- June 4, 2024
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Know more about placebo effect and strategies to prevent the placebo effect from obscuring clinical trial results
- Marisha Fonseca
- May 30, 2024
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Read this article to understand what inductive reasoning is with detailed explanation about its definition, examples, and application.
- David Burbridge
- May 27, 2024
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This article explains what deductive reasoning is including its definition and examples.
- Sunaina Singh
- May 20, 2024
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If you heavily rely on conventional (frequentist) statistical tests like t-tests or ANOVAs in your research, it’s important to understand the principles behind the null…
- Marisha Fonseca
- May 13, 2024
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Interested in getting started with Bayesian statistics? Carefully selecting a prior distribution helps maintain objectivity and transparency in your Bayesian analysis…
- Marisha Fonseca
- May 9, 2024
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Hidden Markov Models (HMMs) are extensively used in biomedical research for analyzing various types of sequential data, including DNA sequences, protein sequences, and…
- Marisha Fonseca
- May 2, 2024
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Sampling methods play a significant role in ensuring the representativeness and reliability of our findings. Two main approaches in sampling are non-probability and…
- Marisha Fonseca
- April 23, 2024