trial data analysis

USAGE SUMMARY

The phrase "trial data analysis" is correct and usable in written English.
It can be used in contexts related to research, clinical trials, or any situation where data from trials is being examined or interpreted. Example: "The researchers conducted a thorough trial data analysis to determine the effectiveness of the new medication."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

4 human-written examples

The work presented here, including the conduct of the trial, data analysis and interpretation, was funded by GSK (GSK ID: HO-13-9398).

Journal of Patient-Reported Outcomes

As in the trial data analysis, our results suggest that the Boolean and SDAI/CDAI definitions of remission are better at predicting good outcomes than disease activity score (DAS -based DAS -baseds of remission.

Arthritis Research and Therapy

This is an investigator initiated study and Hospira Inc did not have a role in the generation of the hypothesis, conduct of the trial, data analysis or financing of the manuscript.

Critical Care

The first (i) being independent replication of clinical trial data analysis to verify the regulatory authority's positions and challenge them where appropriate, and the second (ii) related to secondary analyses enabling the wider scientific community to make use of detailed and high-quality clinical trial data to develop new knowledge in the interest of public health.

Biometrical Journal

Human-verified similar examples from authoritative sources

Similar Expressions

56 human-written examples

HWS performance of the experimental trials, data analysis and writing of the manuscript, YO, KH and CP preparation of the inoculum and lab analysis, CC development of protocol, design of the study, review of the final manuscript, approval for publication.

BMC Veterinary Research

This involvement included any inputs of the pharmaceutical industry in writing the trial protocol, trial monitoring, data analysis, and reporting.

BMC Medical Research Methodology

YC was responsible for the design of the trial, data acquisition, data analysis and data interpretation.

BMC Psychiatry

GK contributed to the design of the trial, data management, analysis and interpretation, and reviewing of the manuscript.

EMA - Emergency Medicine Australasia

Strategies and recommendation addressing the choice of appropriate design, constructing design matrix, experimental trial and data analysis are discussed in this paper.

Journal of Food Engineering

ZS performed trial design, data analysis and drafted the manuscript.

Arthritis Research and Therapy

CB, DD and MC contributed to the conception of the trial and data analysis.

BMC Pregnancy and Childbirth

Expert writing Tips

Best practice

When writing about research findings, be specific about the type of "trial data analysis" conducted (e.g., subgroup analysis, meta-analysis) to provide clarity.

Common error

Avoid using "trial data analysis" without specifying the analytical methods. Detail the specific techniques used (e.g., regression analysis, survival analysis) to enhance the credibility and reproducibility of your work.

Linguistic Context

The phrase "trial data analysis" functions as a noun phrase, often serving as a subject or object in sentences describing research methodologies or findings. Ludwig AI confirms its usability in English.

Expression frequency: Uncommon

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

In summary, "trial data analysis" refers to the process of systematically examining data from trials to draw conclusions. Ludwig AI confirms its grammatical correctness and usability. It is most frequently found in scientific contexts and is generally considered formal and scientific. Related phrases include "clinical trial data analysis" and "analysis of trial data". When using the phrase, be specific about the analytical methods employed to enhance clarity and credibility.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

clinical trial data analysis

Specifies the 'trial' as 'clinical', narrowing the context to medical or health-related trials.

data analysis of trials

Reorders the phrase, emphasizing the 'data analysis' aspect.

analysis of trial data

Swaps the order of 'trial' and 'data', maintaining the core meaning.

clinical data analysis from trials

Includes the context of clinical data with the source being trials.

experimental data analysis

Generalizes 'trial' to 'experimental', broadening the scope to various types of experiments.

study data analysis

Replaces 'trial' with 'study', a more generic term for a research undertaking.

research data analysis

Uses the term 'research' instead of 'trial', widening the application to various research scenarios.

statistical analysis of trial results

Adds 'statistical' and focuses on 'results', highlighting the quantitative aspect of the analysis.

interpretation of trial data

Focuses on the 'interpretation' aspect, emphasizing the understanding of the data.

evaluation of trial data

Highlights the 'evaluation' aspect, stressing the assessment and judgment of the data.

FAQs

What does "trial data analysis" involve?

It encompasses the process of examining, cleaning, transforming, and modeling data from trials to discover useful information, draw conclusions, and support decision-making.

How does "clinical trial data analysis" differ from general data analysis?

Clinical trial data analysis focuses specifically on data from clinical trials, often involving regulatory guidelines and specific statistical methods to assess the safety and efficacy of medical interventions.

What are some common methods used in "trial data analysis"?

Common methods include regression analysis, survival analysis, subgroup analysis, and meta-analysis, depending on the objectives and design of the trial.

Why is thorough "analysis of trial data" important?

Thorough analysis ensures the reliability and validity of research findings, informs evidence-based practices, and can lead to the development of effective interventions and policies.