ArticleForensic science, medicine, and pathology2016
The experimental design of postmortem studies: the effect size and statistical power.
Article in Forensic science, medicine, and pathology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
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- Plasma Biomarker Screening Based on Proteomic Signature of Patients with Resistant Hypertension.Journal of cardiovascular translational research · 2024Article
- Intimate relationships regulate female brain activity in a competitive context: evidence from EEG and functional connectivity analysis.Cerebral cortex (New York, N.Y. : 1991) · 2024Article
- Physical activity changes and related factors in chronic heart failure patients during the postdischarge transition period: a longitudinal study.BMC cardiovascular disorders · 2024Article
- Article
- Neuroprotective role for RORA in Parkinson's disease revealed by analysis of post-mortem brain and a dopaminergic cell line.NPJ Parkinson's disease · 2023Article
- The Rotator Cuff Footprint in Filipinos: A Cadaveric Study.Acta medica Philippina · 2023Article
- High-level biocidal products effectively eradicate pathogenic γ-proteobacteria biofilms from aquaculture facilities.Aquaculture (Amsterdam, Netherlands) · 2021Article
- At the Interface of Life and Death: Post-mortem and Other Applications of Vaginal, Skin, and Salivary Microbiome Analysis in Forensics.Frontiers in microbiology · 2021Review
- Animal Models in Forensic Science Research: Justified Use or Ethical Exploitation?Science and engineering ethics · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe aim is of this study was to show the poor statistical power of postmortem studies. Further, this study aimed to find an estimate of the effect size for postmortem studies in order to show the importance of this parameter. This can be an aid in performing power analysis to determine a minimal sample size.
methodsGPower was used to perform calculations on sample size, effect size, and statistical power. The minimal significance (α) and statistical power (1 - β) were set at 0.05 and 0.80 respectively. Calculations were performed for two groups (Student's t-distribution) and multiple groups (one-way ANOVA; F-distribution).
resultsIn this study, an average effect size of 0.46 was found (n = 22; SD = 0.30). Using this value to calculate the statistical power of another group of postmortem studies (n = 5) revealed that the average statistical power of these studies was poor (1 - β < 0.80).
conclusionThe probability of a type-II error in postmortem studies is considerable. In order to enhance statistical power of postmortem studies, power analysis should be performed in which the effect size found in this study can be used as a guideline.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.