Femoral histomorphometric age-at-death studies: The issue of sample size and standard error

Maggio, Ariane; Franklin, Daniel

doi:10.1177/0025802420945939

Cited by 3 publications

(1 citation statement)

References 39 publications

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“…To obtain a representative value per litter type, a representative sample size is needed. Many scientific disciplines notice the relation between sample size and some sort of measurement of error (e.g., Lamé and Defize, 1993;Cardini and Elton, 2007;Hennig and Cooper, 2011;Maggio and Franklin, 2020) and sample size determination is considered an important step in protocol design (Lenth, 2001). Where undersized studies produce useless results, oversized studies use more resources than necessary (Lenth, 2001).…”

Section: Introductionmentioning

confidence: 99%

Sample size requirements for riverbank macrolitter characterization

et al. 2023

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Anthropogenic litter is omnipresent in terrestrial and freshwater systems, and can have major economic and ecological impacts. Monitoring and modeling of anthropogenic litter comes with large uncertainties due to the wide variety of litter characteristics, including size, mass, and item type. It is unclear as to what the effect of sample set size is on the reliability and representativeness of litter item statistics. Reliable item statistics are needed to (1) improve monitoring strategies, (2) parameterize litter in transport models, and (3) convert litter counts to mass for stock and flux calculations. In this paper, we quantify sample set size requirement for riverbank litter characterization, using a database of more than 14,000 macrolitter items (>0.5 cm), sampled for 1 year at eight riverbank locations along the Dutch Rhine, IJssel, and Meuse rivers. We use this database to perform a Monte Carlo based bootstrap analysis on the item statistics, to determine the relation between sample size and variability in the mean and median values. Based on this, we present sample set size requirements, corresponding to selected uncertainty and confidence levels. Optima between sampling effort and information gain is suggested (depending on the acceptable uncertainty level), which is a function of litter type heterogeneity. We found that the heterogeneity of the characteristics of litter items varies between different litter categories, and demonstrate that the minimum required sample set size depends on the heterogeneity of the litter category. This implies that more items of heterogeneous litter categories need to be sampled than of heterogeneous item categories to reach the same uncertainty level in item statistics. For example, to describe the mean mass the heterogeneous category soft fragments (>2.5 cm) with 90% confidence, 990 items were needed, while only 39 items were needed for the uniform category metal bottle caps. Finally, we use the heterogeneity within litter categories to assess the sample size requirements for each river system. All data collected for this study are freely available, and may form the basis of an open access global database which can be used by scientists, practitioners, and policymakers to improve future monitoring strategies and modeling efforts.

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Section: Introductionmentioning

confidence: 99%

Sample size requirements for riverbank macrolitter characterization

et al. 2023

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The professional practice of forensic anthropology: Contemporary developments and cross‐disciplinary applications

Franklin

Marks

2021

WIREs Forensic Science

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The modern practice of forensic anthropology is focused on the quantification of skeletal variation based upon a qualitative prowess developed according to theory and method in the parent discipline of biological anthropology. Such morphological variances allow estimates of biological attributes, for example, age, sex, population affinity, stature, pathology of disease processes-among others, that collectively may resolve the identification of unknown forensic human remains.The latter is a basic human right under International Humanitarian Law (IHL), and International Human Rights Law (IHRL) afforded to descendants who go missing in armed conflicts and other violence-base situations. The specific traditional methods applied by the forensic anthropologist are well established in the published literature and routinely supported by global research that guides graduate programs designed to train the next generation of practitioners. Important in that cornerstone literature and graduate training regimen are aspects of our practice that are increasingly cross-disciplinary, especially those grounded in the molecular, chemical, and histological sciences. These upper-tier endeavors supplement and many times, validate, the traditional approaches as dictated by case context. This review focuses on evolving cross-disciplinary developments and novel research trends in the analysis of human remains that involve the specific expertise of the forensic anthropologist.

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Downregulation of the enhancer of zeste homolog 1 transcriptional factor predicts poor prognosis of triple-negative breast cancer patients

Peng

Tang

et al. 2022

PeerJ

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Background Triple-negative breast cancer (TNBC) is the most malignant subtype of breast cancer and lacks effective biomarkers. This study seeks to unravel the expression status and the prospective transcriptional mechanisms of EZH1/EZH2 in TNBC tissue samples. Moreover, another objective of this study is to reveal the prognostic molecular signatures for risk stratification in TNBC patients. Methods To determine the expression status of EZH1/EZH2 in TNBC tissue samples, microarray analysis and immunohistochemistry were performed on in house breast cancer tissue samples. External mRNA expression matrices were used to verify its expression patterns. Furthermore, the prospective transcriptional mechanisms of EZH1/EZH2 in TNBC were explored by performing differential expression analysis, co-expression analysis, and chromatin immunoprecipitation sequencing analysis. Kaplan–Meier survival analysis and univariate Cox regression analysis were utilized to detect the prognostic molecular signatures in TNBC patients. Nomogram and time-dependent receiver operating characteristic curves were plotted to predict the risk stratification ability of the prognostic-signatures-based Cox model. Results In-house TMAs (66 TNBC vs. 106 non-TNBC) and external gene microarrays, as well as RNA-seq datasets (1,135 TNBC vs. 6,198 non-TNBC) results, confirmed the downregulation of EZH1 at both the protein and mRNA levels (SMD = −0.59 [−0.80, −0.37]), as is opposite to that of EZH2 (SMD = 0.74 [0.40, 1.08]). The upregulated transcriptional target genes of EZH1 were significantly aggregated in the cell cycle pathway, where CCNA2, CCNB1, MAD2L1, and PKMYT1 were determined as key transcriptional targets. Additionally, the downregulated transcriptional targets of EZH2 were enriched in response to the hormone, where ESR1 was identified as the hub gene. The six-signature-based prognostic model produced an impressive performance in this study, with a training AUC of 0.753, 0.981, and 0.977 at 3-, 5-, and 10-year survival probability, respectively. Conclusion EZH1 downregulation may be a key modulator in the progression of TNBC through negative transcriptional regulation by targeting CCNA2, CCNB1, MAD2L1, and PKMYT1.

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Femoral histomorphometric age-at-death studies: The issue of sample size and standard error

Cited by 3 publications

References 39 publications

Sample size requirements for riverbank macrolitter characterization

Sample size requirements for riverbank macrolitter characterization

The professional practice of forensic anthropology: Contemporary developments and cross‐disciplinary applications

Downregulation of the enhancer of zeste homolog 1 transcriptional factor predicts poor prognosis of triple-negative breast cancer patients

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