variance from baseline

USAGE SUMMARY

The phrase "variance from baseline" is correct and usable in written English.
It can be used in contexts such as data analysis, statistics, or performance measurement to describe the difference between a current value and a baseline value. Example: "The variance from baseline indicates how much the current sales figures differ from the expected performance."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

2 human-written examples

b Percent variance from baseline of mean pulmonary artery pressure demonstrates that this deviated to a greater degree over time than control animals.

Intensive Care Medicine Experimental

Those with non-epithelioid histology had a decline in HRQoL and the variance from baseline between the groups was significant, although the same pattern was seen in the comparator group (see Figure 1).

British Journal of Cancer

Human-verified similar examples from authoritative sources

Similar Expressions

58 human-written examples

All continuous outcomes, that is, change in metabolic parameters, weight, body composition parameters, alcohol use, etc, will be analysed using analysis of variance (ANOVA) from baseline to last observation endpoint.

BMJ Open

Analysis of variance of change from baseline was conducted for each lipid outcome variable, with treatment and baseline quartile as factors.

Diabetes/Metabolism Research and Reviews

For this we selected 3 significant HRQoL findings seen in the primary study (see below), which used an analysis of co-variance (ANCOVA) test from baseline EQ-5D to 16 weeks (n.b. the same results are seen regardless of the country specific EQ-5D tariff used).

Health and Quality of Life Outcomes

17 The only reported data on variability were F test values and P values from a repeated measure, analysis of variance, performed on changes from baseline.

British Medical Journal

10 11 The percentage variance explained in mean changes from baseline in the IDDD and PRPP was assessed using multiple regression.

BMJ Open

Mixed model repeated measures (MMRM) analysis of variance was performed on change from baseline for the primary and secondary endpoints.

Epilepsia

An exploratory regression analysis was deemed to be appropriate for smaller samples, and this was to evaluate whether such scores could explain variance in the mean changes from baseline in the IDDD and PRPP.

BMJ Open

A model containing glycine change explained a comparable 39% of variance in sustained SI change from baseline, whereas a model containing alanine, proline, or a combination of the two changes explained smaller percentages (27, 28, and 30%, respectively) of variance in sustained (before 15 days) SI change (supplementary Table 3).

Diabetes Care

A general linear model (GLM) approach generated whole brain images of parameter estimates and variances, representing average signal change from baseline.

BMC Psychiatry

Expert writing Tips

Best practice

When reporting "variance from baseline", always specify the units of measurement and the statistical methods used to calculate the variance. This ensures clarity and reproducibility of your results.

Common error

Avoid confusing "variance from baseline" with simple change. Variance reflects the spread or dispersion of data points around the mean change, providing more information than just the average difference from the initial value.

Linguistic Context

The phrase "variance from baseline" functions primarily as a statistical descriptor. It quantifies the dispersion or spread of data points relative to an initial reference point. Ludwig provides many examples from scientific articles showing its usage in data analysis. According to Ludwig AI, the phrase is correct and usable in written English.

Expression frequency: Very common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Encyclopedias

0%

Ludwig's WRAP-UP

In summary, "variance from baseline" is a key statistical concept used to describe the dispersion of data relative to an initial value. Ludwig AI indicates that the phrase is correct and highly usable, particularly in scientific and data-driven contexts. This metric helps researchers understand the consistency of changes observed in their data. When reporting this variance, remember to include units and methods for calculation to improve clarity. Be aware of confusing this concept with simple change from baseline. It's a statistically significant measure that has many uses in data analysis and scientific research.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

deviation from initial level

Replaces "baseline" with "initial level" and "variance" with "deviation", focusing on the displacement from the starting point.

change from starting point

Uses simpler terms like "change" and "starting point" instead of "variance" and "baseline", making it more accessible.

difference from original value

Substitutes "variance" with "difference" and "baseline" with "original value", emphasizing the disparity from the initial state.

shift from reference point

Replaces "baseline" with "reference point" and "variance" with "shift", indicating a movement away from the initial reference.

fluctuation from base level

Uses "fluctuation" to capture the idea of variance and "base level" instead of "baseline", suggesting a wavering from the original state.

alteration from initial state

Replaces "variance" with "alteration" and "baseline" with "initial state", focusing on the modification from the original condition.

modification from the start

Emphasizes the change since the beginning using "modification" and "the start" instead of "variance" and "baseline".

divergence from the norm

Suggests a departure from a standard or typical value, where "baseline" is implied to be the norm.

variation from standard

Highlights the difference from a typical or expected value, with "standard" serving as a substitute for "baseline".

disparity from initial measurement

Focuses on the difference from an initial quantitative assessment, using "disparity" and "initial measurement" as alternatives.

FAQs

How is "variance from baseline" used in research?

In research, "variance from baseline" is commonly used to assess how much individual data points deviate from their initial values after an intervention or over a period of time. It helps researchers understand the consistency and predictability of changes within a study population.

What statistical tests are used to analyze "variance from baseline"?

Analysis of variance (ANOVA), repeated measures ANOVA, and ANCOVA (analysis of covariance) are frequently used to analyze changes from baseline. These tests help determine whether the observed variances are statistically significant.

How does "deviation from baseline" differ from "variance from baseline"?

While the terms are related, "deviation from baseline" typically refers to the amount of difference from the initial value, whereas "variance" specifically quantifies the spread or dispersion of these deviations across a dataset.

Why is it important to consider "variance from baseline" in clinical trials?

Considering "variance from baseline" in clinical trials is crucial for understanding the heterogeneity of treatment effects. It helps identify whether a treatment has consistent effects across different patients or if there is substantial variability in individual responses.