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MetaAnalysisOnline.com: Web-Based Tool for the Rapid Meta-Analysis of Clinical and Epidemiological Studies

MetaAnalysisOnline.com: Web-Based Tool for the Rapid Meta-Analysis of Clinical and Epidemiological Studies

The heterogeneity can be assessed using the I2 and 𝜏2 statistics, where the 𝜏2 represents the between-trial variance of the effect size. The square root of the 𝜏2 provides an estimate of the SD of the effects in the analyzed studies. High values of 𝜏2 indicate substantial heterogeneity among the effect sizes, suggesting that the true effects are not consistent across studies and may be influenced by other factors [10].

János Tibor Fekete, Balázs Győrffy

J Med Internet Res 2025;27:e64016

ChatGPT for Univariate Statistics: Validation of AI-Assisted Data Analysis in Healthcare Research

ChatGPT for Univariate Statistics: Validation of AI-Assisted Data Analysis in Healthcare Research

For descriptive statistics, the methods tested were mean, SD, median, and IQR. Chat GPT was prompted to compute these values for male and female cohorts, as well as the entire dataset for the following variables: age, length of stay, and total charges. All descriptive statistics prompts were posed as directed questions without opportunity for interpretation. Descriptive statistics prompts can be found in Multimedia Appendix 2.

Michael R Ruta, Tony Gaidici, Chase Irwin, Jonathan Lifshitz

J Med Internet Res 2025;27:e63550

Demographics and Health Characteristics Associated With the Likelihood of Participating in Digitally Delivered Exercise Rehabilitation for Improving Heart Health Among Breast Cancer Survivors: Cross-Sectional Survey Study

Demographics and Health Characteristics Associated With the Likelihood of Participating in Digitally Delivered Exercise Rehabilitation for Improving Heart Health Among Breast Cancer Survivors: Cross-Sectional Survey Study

Descriptive statistics were calculated for all survey items. Ordered logistic regression models were used to examine associations between demographic and health characteristics and the likelihood of intervention uptake. Four models were estimated: uptake generally, uptake before treatment, uptake during treatment, and uptake after treatment.

Tamara Jones, Lara Edbrooke, Jonathan C Rawstorn, Linda Denehy, Sandra Hayes, Ralph Maddison, Aaron L Sverdlov, Bogda Koczwara, Nicole Kiss, Camille E Short

JMIR Cancer 2024;10:e51536

Distributed Statistical Analyses: A Scoping Review and Examples of Operational Frameworks Adapted to Health Analytics

Distributed Statistical Analyses: A Scoping Review and Examples of Operational Frameworks Adapted to Health Analytics

One group of approaches often labeled as distributed analysis involves calculations at each participating node and exchanges of the resulting aggregated statistics with a coordinating center (CC), which can itself also perform additional calculations based on the received aggregated statistics. The CC can be an organization not responsible for a data node or a data node taking on the additional role of CC for a given analysis.

Félix Camirand Lemyre, Simon Lévesque, Marie-Pier Domingue, Klaus Herrmann, Jean-François Ethier

JMIR Med Inform 2024;12:e53622

Association Between Climatic Factors and Varicella Incidence in Wuxi, East China, 2010-2019: Surveillance Study

Association Between Climatic Factors and Varicella Incidence in Wuxi, East China, 2010-2019: Surveillance Study

Table 1 presents the summary statistics of meteorological factors and varicella cases in Wuxi city from January 1, 2010, to December 31, 2019. A total of 64,086 cases of varicella were reported during the study period. Males accounted for 54.16% (n=34,709 cases), while females accounted for 45.84% (n=29,377 cases). Teenagers, children, and infants under the age of 17 years comprised the largest group, representing 78.37% (n=50,221 cases) of the total reported cases.

Kehong Zhang, Ganglei Shen, Yue Yuan, Chao Shi

JMIR Public Health Surveill 2024;10:e62863

A Geospatial Drug Abuse Risk Assessment and Monitoring Dashboard Tailored for School Students: Development Study With Requirement Analysis and Acceptance Evaluation

A Geospatial Drug Abuse Risk Assessment and Monitoring Dashboard Tailored for School Students: Development Study With Requirement Analysis and Acceptance Evaluation

The need for information and statistics about people addicted to drugs, accessibility, usage, effects, and prevention is vital for reducing drug abuse [8]. However, local communities lack effective prevention tools despite drug abuse reaching epidemic levels [4,9]. The increasing drug use among school students contributes to the spread of drug abuse epidemics [10].

Ahmad Mustafa Al-Aboosi, Siti Norul Huda Sheikh Abdullah, Rozmi Ismail, Khairul Nizam Abdul Maulud, Lutfun Nahar, Khairul Akram Zainol Ariffin, Meng Chun Lam, Muhamad Lazim bin Talib, Suzaily Wahab, Mahadzir Elias

JMIR Hum Factors 2024;11:e48139

Evaluation of Primary Allied Health Care in Patients Recovering From COVID-19 at 6-Month Follow-up: Dutch Nationwide Prospective Cohort Study

Evaluation of Primary Allied Health Care in Patients Recovering From COVID-19 at 6-Month Follow-up: Dutch Nationwide Prospective Cohort Study

Descriptive statistics were used to describe the patient population and to analyze the primary outcome measures at baseline and after 3 and 6 months using numbers and proportions for categorical variables, means (SDs), and medians (IQRs) for continuous variables. Linear mixed model analyses were used to evaluate recovery over time for participation, the HRQo L, fatigue, physical functioning, and psychological well-being.

Anne I Slotegraaf, Marissa H G Gerards, Arie C Verburg, Marian A E de van der Schueren, Hinke M Kruizenga, Maud J L Graff, Edith H C Cup, Johanna G Kalf, Antoine F Lenssen, Willemijn M Meijer, Renée A Kool, Rob A de Bie, Philip J van der Wees, Thomas J Hoogeboom, Dutch Consortium Allied Healthcare COVID-19

JMIR Public Health Surveill 2023;9:e44155

The Impact of SARS-CoV-2 Lineages (Variants) and COVID-19 Vaccination on the COVID-19 Epidemic in South Africa: Regression Study

The Impact of SARS-CoV-2 Lineages (Variants) and COVID-19 Vaccination on the COVID-19 Epidemic in South Africa: Regression Study

For the comparative inferential statistical analysis conducted to understand the impact of SARS-Co V-2 evolution on COVID-19 transmissibility and severity in South Africa, descriptive statistics and paired samples t test at 95% CIs were conducted on the normalized parameters in SPSS.

Thabo Mabuka, Natalie Naidoo, Nesisa Ncube, Thabo Yiga, Michael Ross, Kuzivakwashe Kurehwa, Mothabisi Nare Nyathi, Andrea Silaji, Tinashe Ndemera, Tlaleng Lemeke, Ridwan Taiwo, Willie Macharia, Mthokozisi Sithole

JMIRx Med 2023;4:e34598