QUHC 705 Biostatistics in Action by Manar Elhassan_PreviewUser

Instructions

melhassan3 — 2025-03-04 22:18:12 UTC

Working in your groups:

Search PubMed for an article of your interest that uses a basic statistical test or method
Create a post with:
- The name of the statistical test/method in the title
- A description of how it was used in the research
- Link to or screenshot of the article
Each group should choose a different statistical test/method

Linear Regression

waadelamin08 — 2025-09-02 10:04:02 UTC

Name of the Test: Linear Regression (Poisson)

Description: Regression models were fitted for therapeutic duplication (primary outcome which was binary), and combination status (exposure which was fixed dose combinations vs free dose components). This produced RR estimates for therapeutic duplication.

ANOVA at baseline

2025-09-06 14:25:12 UTC

Analysis of variance was used to compare the means of 4 grps (placebo, tirzepatide 5, 10, 15 mg) to determine if there are any statistically significant differences at baseline.

Fisher exact test

2025-09-06 16:45:54 UTC

The test was used to check if the proportion of each cancer subtype is statistically different between WES and WGS cohorts.

Article link: https://www.nature.com/articles/s41467-020-18151-y

Two Paired Sample t-test

2025-09-06 22:20:39 UTC

The test was used to compare participants outcomes (FBS,HbA1c, Body weight) before and after the lifestyle program within the same individuals.

Friedman Test

2025-09-07 04:24:07 UTC

Comparisons across the three time points (baseline, end of semaglutide treatment, and two years post withdrawal) were performed to evaluate changes in continuous variables, for example body weight, BMI, fasting glucose, OGTT values, lipid profile, and hormone levels.

Independent t test and fisher test test

2025-09-07 06:58:14 UTC

For the independent-group TTR comparison, the authors report means and SDs and a p < 0.001. Although the exact test isn't stated, this likely reflects an independent-samples t-test, assuming the data were approximately normally distributed and variances similar.even they didn't justify that it normally distribution or not .only assumption in methodology what to use but in results not specifically mentioned but when reputed mean that is independent t test.

They use chi or fisher test for categorical data but not specify any no representation for normality or p value for categorical data.

Wilcoxon Rank Sum test

2025-09-07 10:27:59 UTC

The comparison of changes in Alc, body weight, and urinary glucose between the early-stage and late-stage populations: the change in A1c, body weight, and urinary glucose from baseline to the end of week 12 were compared by treatment assignment using Wilcoxon Rank Sum test (it is a non-parametric test and here they had quantitative continuous variables and the groups were coming from two different studies)

One way ANOVA (Happiness Among Students)

2025-09-07 11:50:34 UTC

The authors used one way ANOVA to compare the mean happiness scores across multiple groups defined by demographic and lifestyle variables (department, academic year, exercise habit, health perceptions etc). The analysis revealed: significant differences in happiness levels across subgroups highlighting domains that need more intervention to boost students wellbeing.

2025-09-07 15:28:13 UTC

Analysis of Covariance (ANCOVA)

2025-09-07 19:08:15 UTC

The study employed an ANCOVA test to analyze post-intervention differences between the IPE intervention group and the control group, incorporating baseline scores as covariates. This approach allows for a more equitable comparison of students' attitudes toward interprofessional teams and interprofessional learning, as well as their self-reported competencies. These competencies were evaluated through the ATHCTS, RIPLS, TSS, and LTCMS scales, effectively controlling for pre-intervention variations.