multiple testing procedure

USAGE SUMMARY

The phrase "multiple testing procedure" is correct and usable in written English.
It can be used in contexts related to statistical analysis, research, or experimental design where multiple hypotheses are being tested simultaneously. Example: "To control for Type I error, we implemented a multiple testing procedure in our analysis of the data."

✓ Grammatically correct

Science

Human-verified examples from authoritative sources

Exact Expressions

40 human-written examples

Non-inferiority of lumiracoxib for the primary outcome variable (1-year retention on treatment) was tested by a non-inferiority test comparing pairwise differences using a multiple testing procedure to adjust for multiplicity and a confidence interval (CI) approach with a predefined non-inferiority margin of -10%.

BMC Musculoskeletal Disorders

Fleming's multiple-stage design [Fleming TR. One-sample multiple testing procedure for phase II clinical trials.

Contemporary Clinical Trials

This paper provides a general method for extending any multiple testing procedure to control any error rate, thereby allowing for the procedure possessing the desired properties to be used to control the most relevant error rate.

Journal of Statistical Planning and Inference

Roeder et al. [44] also proposed a weighted multiple testing procedure.

Plosone

The SNP CAT-E11-1 wastillll significant after multiple testing procedure (p<0.05).

Plosone

ANOVA analysis adjusted for potential confounders, multiple testing procedure, Gene Set Enrichment Analysis, and GO-functional classification were conducted for gene selection.

Plosone

Human-verified similar examples from authoritative sources

Similar Expressions

20 human-written examples

Many multiple testing procedures (MTPs) are available today, and their number is growing.

Journal of Statistical Planning and Inference

Several multiple testing procedures were recently proposed to perform multiple comparisons with a control in direction-mixed families that contain a mixture of one- and two-sided inferences.

Computational Statistics & Data Analysis

Gene filtering was performed using standard multiple testing procedures and clustering, based on packages available in Bioconductor (www.bioconductor.org).

Plosone

Therefore, we developed weighted multiple testing procedures.

BMC Genomics

*Significant using the Holm-Bonferroni method for multiple testing procedures.

BMC Family Practice

Expert writing Tips

Best practice

When writing scientific papers, always specify the "multiple testing procedure" used (e.g. Bonferroni, Benjamini-Hochberg) to ensure reproducibility and transparency.

Common error

A common mistake is to perform multiple statistical tests without adjusting for multiple comparisons. This increases the risk of Type I errors (false positives). Always apply a suitable "multiple testing procedure" to control for this risk.

Linguistic Context

The phrase "multiple testing procedure" functions as a noun phrase, typically used as a subject or object in a sentence. It denotes a specific statistical method used in research and data analysis, as shown in examples from Ludwig.

Expression frequency: Common

Frequent in

Science

100%

Less common in

News & Media

0%

Formal & Business

0%

Academia

0%

Ludwig's WRAP-UP

The phrase "multiple testing procedure" is a grammatically sound and common term in statistical analysis, predominantly used within scientific research as demonstrated by Ludwig. It's crucial for researchers to correctly apply these procedures to maintain the integrity of their findings. Remember to specify the exact procedure used in your research papers. Failing to account for multiple comparisons can lead to false positives, emphasizing the importance of using appropriate methods.

More alternative expressions

Phrases that express similar concepts, ordered by semantic similarity:

multiple hypothesis testing correction

This alternative specifies the intention to correct p-values in the context of multiple hypothesis testing.

simultaneous hypothesis testing adjustment

Focuses on the simultaneous aspect of testing multiple hypotheses and the need for statistical adjustment.

statistical correction for multiple comparisons

Highlights the statistical nature of the correction and its application to multiple comparisons.

p-value adjustment method

Refers to methods used to adjust p-values to account for multiple testing.

false discovery rate control

Emphasizes controlling the false discovery rate (FDR) when conducting multiple tests.

family-wise error rate control

Highlights controlling the family-wise error rate (FWER) in multiple testing situations.

multiplicity control technique

Focuses on techniques to control for multiplicity in statistical testing.

significance level adjustment

Refers to adjusting the significance level to account for multiple comparisons.

weighted p-value approach

Describes an approach that assigns weights to p-values in multiple testing.

error rate controlling strategy

Highlights the strategy of controlling error rates in multiple hypothesis testing.

FAQs

What is the purpose of a "multiple testing procedure"?

A "multiple testing procedure" is used to control the rate of false positives when performing multiple statistical tests. It adjusts the significance level to account for the increased chance of finding a significant result simply by chance.

Which "multiple testing procedure" should I use?

The choice of "multiple testing procedure" depends on the specific context and goals of your analysis. Common methods include Bonferroni correction, Benjamini-Hochberg procedure (FDR control), and Holm's method. Consider the trade-off between controlling Type I error and statistical power.

How does a "multiple testing procedure" affect p-values?

A "multiple testing procedure" adjusts the p-values obtained from individual tests. This adjustment typically involves increasing the p-values to account for the number of tests being performed. Adjusted p-values are then compared to the chosen significance level to determine statistical significance.

What are some alternatives to using a "multiple testing procedure"?

While "multiple testing procedures" are essential for controlling error rates, other approaches can be considered. These include techniques such as "cross-validation", "Bayesian methods", or "replication studies", which can provide additional evidence and validation for findings.