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Assessing Performance of Martins's and Sampson's Formulae for Calculation of LDL-C in Indian Population: A Single Center Retrospective Study. 评估马丁斯公式和桑普森公式在印度人群中计算低密度脂蛋白胆固醇的性能：单中心回顾性研究
IF 1.5 2区 社会学
Political Analysis Pub Date : 2024-10-01 Epub Date: 2023-07-07 DOI: 10.1007/s12291-023-01142-3
Shrimanjunath Sankanagoudar, Sojit Tomo, Andystar Syiemlieh, Prem Prakash Sharma, Mithu Banerjee, Praveen Sharma
{"title":"Assessing Performance of Martins's and Sampson's Formulae for Calculation of LDL-C in Indian Population: A Single Center Retrospective Study.","authors":"Shrimanjunath Sankanagoudar, Sojit Tomo, Andystar Syiemlieh, Prem Prakash Sharma, Mithu Banerjee, Praveen Sharma","doi":"10.1007/s12291-023-01142-3","DOIUrl":"10.1007/s12291-023-01142-3","url":null,"abstract":"<p><p>Various formulae had been derived to calculate the LDL-C from other lipid profile parameters to supplant the need for direct estimation. Martin's, Sampson's, and Cordova's formulae are recently derived formulae for calculating LDL-C. However, no study has been undertaken till now to verify the newer formulae viz. Martins's and Sampson's in Indian population. The retrospective cross-sectional study was carried out after obtaining approval from the Institutional Ethics Committee on human subject research. The lipid profile data were collected for a period of 17 months from January 2020 to May 2021. The formulae proposed by Friedewald, Cordova, Anandaraja, Martin, and Sampson were used to assess calculated LDL-C. Intraclass correlations were performed to assess the effectiveness of each formula when compared with direct estimation. In our study, we observed that LDL-C calculated using Martin was observed to be closer to that of direct estimation. The bias observed was lowest for Martin's formulae, followed by Sampson's. Intraclass correlation analysis for absolute agreement demonstrated Cordova, Martin, and Sampson to have an average ICC > 0.9, with Martin, and Sampson having a <i>p</i> value < 0.05. Martin fared superior to other formulae in intraclass correlation in patients with LDL > 70. In patients with TG below 200 mg/dL, Martin, and Sampson had a significant correlation with comparable average ICC. However, in patients with TG > 300 mg/dL, Cordova appears to fare better than all other formulae. Our study demonstrated a distinctly superior performance of Martin's formula over Friedewald's formula in the Indian patient population.</p>","PeriodicalId":48270,"journal":{"name":"Political Analysis","volume":"18 1","pages":"579-585"},"PeriodicalIF":1.5,"publicationDate":"2024-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11436703/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83323507","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
On Finetuning Large Language Models 关于微调大型语言模型
IF 5.4 2区 社会学
Political Analysis Pub Date : 2023-11-28 DOI: 10.1017/pan.2023.36
Yu Wang
{"title":"On Finetuning Large Language Models","authors":"Yu Wang","doi":"10.1017/pan.2023.36","DOIUrl":"https://doi.org/10.1017/pan.2023.36","url":null,"abstract":"A recent paper by Häffner et al. (2023, Political Analysis 31, 481–499) introduces an interpretable deep learning approach for domain-specific dictionary creation, where it is claimed that the dictionary-based approach outperforms finetuned language models in predictive accuracy while retaining interpretability. We show that the dictionary-based approach’s reported superiority over large language models, BERT specifically, is due to the fact that most of the parameters in the language models are excluded from finetuning. In this letter, we first discuss the architecture of BERT models, then explain the limitations of finetuning only the top classification layer, and lastly we report results where finetuned language models outperform the newly proposed dictionary-based approach by 27% in terms of $R^2$ and 46% in terms of mean squared error once we allow these parameters to learn during finetuning. Researchers interested in large language models, text classification, and text regression should find our results useful. Our code and data are publicly available.","PeriodicalId":48270,"journal":{"name":"Political Analysis","volume":"266 1","pages":""},"PeriodicalIF":5.4,"publicationDate":"2023-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139227089","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Explaining Recruitment to Extremism: A Bayesian Hierarchical Case–Control Approach 解释极端主义招募：贝叶斯层次病例对照方法
IF 5.4 2区 社会学
Political Analysis Pub Date : 2023-11-16 DOI: 10.1017/pan.2023.35
Roberto Cerina, C. Barrie, Neil Ketchley, Aaron Y. Zelin
{"title":"Explaining Recruitment to Extremism: A Bayesian Hierarchical Case–Control Approach","authors":"Roberto Cerina, C. Barrie, Neil Ketchley, Aaron Y. Zelin","doi":"10.1017/pan.2023.35","DOIUrl":"https://doi.org/10.1017/pan.2023.35","url":null,"abstract":"Who joins extremist movements? Answering this question is beset by methodological challenges as survey techniques are infeasible and selective samples provide no counterfactual. Recruits can be assigned to contextual units, but this is vulnerable to problems of ecological inference. In this article, we elaborate a technique that combines survey and ecological approaches. The Bayesian hierarchical case–control design that we propose allows us to identify individual-level and contextual factors patterning the incidence of recruitment to extremism, while accounting for spatial autocorrelation, rare events, and contamination. We empirically validate our approach by matching a sample of Islamic State (ISIS) fighters from nine MENA countries with representative population surveys enumerated shortly before recruits joined the movement. High-status individuals in their early twenties with college education were more likely to join ISIS. There is more mixed evidence for relative deprivation. The accompanying extremeR package provides functionality for applied researchers to implement our approach.","PeriodicalId":48270,"journal":{"name":"Political Analysis","volume":"40 3","pages":""},"PeriodicalIF":5.4,"publicationDate":"2023-11-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139267638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Implementation Matters: Evaluating the Proportional Hazard Test’s Performance 实施事项:评估比例危害试验的性能
2区 社会学
Political Analysis Pub Date : 2023-11-07 DOI: 10.1017/pan.2023.34
Shawna K. Metzger
{"title":"Implementation Matters: Evaluating the Proportional Hazard Test’s Performance","authors":"Shawna K. Metzger","doi":"10.1017/pan.2023.34","DOIUrl":"https://doi.org/10.1017/pan.2023.34","url":null,"abstract":"Abstract Political scientists commonly use Grambsch and Therneau’s (1994, Biometrika 81, 515–526) ubiquitous Schoenfeld-based test to diagnose proportional hazard violations in Cox duration models. However, some statistical packages have changed how they implement the test’s calculation. The traditional implementation makes a simplifying assumption about the test’s variance–covariance matrix, while the newer implementation does not. Recent work suggests the test’s performance differs, depending on its implementation. I use Monte Carlo simulations to more thoroughly investigate whether the test’s implementation affects its performance. Surprisingly, I find the newer implementation performs very poorly with correlated covariates, with a false positive rate far above 5%. By contrast, the traditional implementation has no such issues in the same situations. This shocking finding raises new, complex questions for researchers moving forward. It appears to suggest, for now, researchers should favor the traditional implementation in situations where its simplifying assumption is likely met, but researchers must also be mindful that this implementation’s false positive rate can be high in misspecified models.","PeriodicalId":48270,"journal":{"name":"Political Analysis","volume":"9 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135476764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Face Detection, Tracking, and Classification from Large-Scale News Archives for Analysis of Key Political Figures 大型新闻档案中的人脸检测、追踪与分类，用于关键政治人物分析
2区 社会学
Political Analysis Pub Date : 2023-11-06 DOI: 10.1017/pan.2023.33
Andreu Girbau, Tetsuro Kobayashi, Benjamin Renoust, Yusuke Matsui, Shin’ichi Satoh
{"title":"Face Detection, Tracking, and Classification from Large-Scale News Archives for Analysis of Key Political Figures","authors":"Andreu Girbau, Tetsuro Kobayashi, Benjamin Renoust, Yusuke Matsui, Shin’ichi Satoh","doi":"10.1017/pan.2023.33","DOIUrl":"https://doi.org/10.1017/pan.2023.33","url":null,"abstract":"Abstract Analyzing the appearances of political figures in large-scale news archives is increasingly important with the growing availability of large-scale news archives and developments in computer vision. We present a deep learning-based method combining face detection, tracking, and classification, which is particularly unique because it does not require any re-training when targeting new individuals. Users can feed only a few images of target individuals to reliably detect, track, and classify them. Extensive validation of prominent political figures in two news archives spanning 10 to 20 years, one containing three U.S. cable news and the other including two major Japanese news programs, consistently shows high performance and flexibility of the proposed method. The codes are made readily available to the public.","PeriodicalId":48270,"journal":{"name":"Political Analysis","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135635203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A Framework for the Unsupervised and Semi-Supervised Analysis of Visual Frames 视觉框架的无监督和半监督分析框架
2区 社会学
Political Analysis Pub Date : 2023-10-23 DOI: 10.1017/pan.2023.32
Michelle Torres
{"title":"A Framework for the Unsupervised and Semi-Supervised Analysis of Visual Frames","authors":"Michelle Torres","doi":"10.1017/pan.2023.32","DOIUrl":"https://doi.org/10.1017/pan.2023.32","url":null,"abstract":"Abstract This article introduces to political science a framework to analyze the content of visual material through unsupervised and semi-supervised methods. It details the implementation of a tool from the computer vision field, the Bag of Visual Words (BoVW), for the definition and extraction of “tokens” that allow researchers to build an Image-Visual Word Matrix which emulates the Document-Term matrix in text analysis. This reduction technique is the basis for several tools familiar to social scientists, such as topic models, that permit exploratory, and semi-supervised analysis of images. The framework has gains in transparency, interpretability, and inclusion of domain knowledge with respect to other deep learning techniques. I illustrate the scope of the BoVW by conducting a novel visual structural topic model which focuses substantively on the identification of visual frames from the pictures of the migrant caravan from Central America.","PeriodicalId":48270,"journal":{"name":"Political Analysis","volume":"27 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135366150","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Dyadic Clustering in International Relations 国际关系中的二元聚类
2区 社会学
Political Analysis Pub Date : 2023-10-03 DOI: 10.1017/pan.2023.26
Jacob Carlson, Trevor Incerti, P. M. Aronow
{"title":"Dyadic Clustering in International Relations","authors":"Jacob Carlson, Trevor Incerti, P. M. Aronow","doi":"10.1017/pan.2023.26","DOIUrl":"https://doi.org/10.1017/pan.2023.26","url":null,"abstract":"Abstract Quantitative empirical inquiry in international relations often relies on dyadic data. Standard analytic techniques do not account for the fact that dyads are not generally independent of one another. That is, when dyads share a constituent member (e.g., a common country), they may be statistically dependent, or “clustered.” Recent work has developed dyadic clustering robust standard errors (DCRSEs) that account for this dependence. Using these DCRSEs, we reanalyzed all empirical articles published in International Organization between January 2014 and January 2020 that feature dyadic data. We find that published standard errors for key explanatory variables are, on average, approximately half as large as DCRSEs, suggesting that dyadic clustering is leading researchers to severely underestimate uncertainty. However, most (67% of) statistically significant findings remain statistically significant when using DCRSEs. We conclude that accounting for dyadic clustering is both important and feasible, and offer software in R and Stata to facilitate use of DCRSEs in future research.","PeriodicalId":48270,"journal":{"name":"Political Analysis","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135696155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Trading Liberties: Estimating COVID-19 Policy Preferences from Conjoint Data – CORRIGENDUM 贸易自由:从联合数据估计COVID-19政策偏好-勘误表
2区 社会学
Political Analysis Pub Date : 2023-09-19 DOI: 10.1017/pan.2023.29
Felix Hartmann, Macartan Humphreys, Ferdinand Geissler, Heike Klüver, Johannes Giesecke
{"title":"Trading Liberties: Estimating COVID-19 Policy Preferences from Conjoint Data – CORRIGENDUM","authors":"Felix Hartmann, Macartan Humphreys, Ferdinand Geissler, Heike Klüver, Johannes Giesecke","doi":"10.1017/pan.2023.29","DOIUrl":"https://doi.org/10.1017/pan.2023.29","url":null,"abstract":"An abstract is not available for this content. As you have access to this content, full HTML content is provided on this page. A PDF of this content is also available in through the ‘Save PDF’ action button.","PeriodicalId":48270,"journal":{"name":"Political Analysis","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135011389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PAN volume 31 issue 4 Cover and Front matter PAN第31卷第4期封面和封面
2区 社会学
Political Analysis Pub Date : 2023-09-12 DOI: 10.1017/pan.2023.24
{"title":"PAN volume 31 issue 4 Cover and Front matter","authors":"","doi":"10.1017/pan.2023.24","DOIUrl":"https://doi.org/10.1017/pan.2023.24","url":null,"abstract":"","PeriodicalId":48270,"journal":{"name":"Political Analysis","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135879293","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
PAN volume 31 issue 4 Cover and Back matter PAN第31卷第4期封面和封底
2区 社会学
Political Analysis Pub Date : 2023-09-12 DOI: 10.1017/pan.2023.23
{"title":"PAN volume 31 issue 4 Cover and Back matter","authors":"","doi":"10.1017/pan.2023.23","DOIUrl":"https://doi.org/10.1017/pan.2023.23","url":null,"abstract":"","PeriodicalId":48270,"journal":{"name":"Political Analysis","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135879291","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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