Dataset

This dataset was created by Handan Ankaralı

Contents

Building strong quantitative skills prepares undergraduate biology students for successful careers in science and medicine. While math and statistics anxiety can negatively impact student learning within biology classrooms, instructors may reduce this anxiety by steadily building student competency in quantitative reasoning through instructional scaffolding, application-based approaches, and simple computer program interfaces. However, few statistical programs exist that meet all needs of an inclusive, inquiry-based laboratory course. These needs include an open-source program, a simple interface, little required background knowledge in statistics for student users, and customizability to minimize cognitive load, align with course learning outcomes, and create desirable difficulty. To address these needs, we used the Shiny package in R to develop a custom statistical analysis application. Our “BioStats” app provides students with scaffolded learning experiences in applied statistics that promotes student agency and is customizable by the instructor. It introduces students to the strengths of the R interface, while eliminating the need for complex coding in the R programming language. It also prioritizes practical implementation of statistical analyses over learning statistical theory. To our knowledge, this is the first statistics teaching tool where students are presented basic statistics initially, more complex analyses as they advance, and includes an option to learn R statistical coding. The BioStats app interface yields a simplified introduction to applied statistics that is adaptable to many biology laboratory courses.

Primary Image: Singing Junco. A sketch of a junco singing on a pine tree branch, created by the lead author of this paper.

List of Top Institutions of Journal of Biostatistics and Biometric Applications sorted by citations.

Annual review of statistics and its application - ResearchHelpDesk - The Annual Review of Statistics and Its Application informs statisticians, and users of statistics about major methodological advances and the computational tools that allow for their implementation. The Annual Review of Statistics and Its Application debuted in the 2016 Release of the Journal Citation Report (JCR) with an Impact Factor of 3.045.

Statistics on applications approved under “Top Talent Pass Scheme” with breakdown by industry/ sector of applicants provides relevant figures concerning applications approved under “Top Talent Pass Scheme” with breakdown by industry/ sector of applicants

Annual review of statistics and its application Acceptance Rate - ResearchHelpDesk - The Annual Review of Statistics and Its Application informs statisticians, and users of statistics about major methodological advances and the computational tools that allow for their implementation. The Annual Review of Statistics and Its Application debuted in the 2016 Release of the Journal Citation Report (JCR) with an Impact Factor of 3.045.

Note: HR-heart rate, BMI-body mass index, WC-waist circumference, SBP-systolic blood pressure, DBP-diastolic blood pressure, FPG- fasting plasma glucose, PBG- plasma blood glucose, IR-insulin resistance, TG- triglyceride, PH- Hypertension, DM- Diabetes.

Note: HR-heart rate, PH- hypertension, PHD- hypertension duration, WC-waist circumference, FINS-fasting blood insulin, IR-insulin resistance. DM duration had 5 missing data, respectively. PH duration has 1 missing data.

Note: Comparison analysis to parameters of LR and ANN models used noninferiority tests; the null hypothesis was parameters of ANN model were inferior to parameters of LR model (as reference). AUC-Area under the receiver-operating curve, PPV = positive predictive value; NPV = negative predictive value.

The global Biostatistics Consulting Services market is booming, projected to reach $2.18 billion by 2033 with a 5.4% CAGR. This in-depth analysis explores market drivers, trends, restraints, and key players like IQVIA and Parexel, covering segments like pharmaceutical and medical device applications. Discover regional market shares and growth projections for informed decision-making.

List of Top Authors of Annals of Biostatistics & Biometric Applications sorted by citations.

Question Paper Solutions of chapter Introduction to Statistics & Probability of Numerical and Statistical Analysis, 2nd Semester , Master of Computer Applications (2 Years)

Introduction

Mobile Application Statistics: The mobile application landscape has swiftly become a vital part of modern life, significantly changing how individuals connect, work, shop, and access information. As smartphones become more deeply embedded in daily habits, mobile apps have taken center stage as the main platform for delivering digital services across industries such as social networking, entertainment, finance, healthcare, and education.

This widespread reliance has fueled steady expansion in both app development and usage. With increasing demand for personalized, efficient, and intuitive digital experiences, businesses and developers are prioritizing innovation and user-focused solutions.

In light of this, evaluating mobile application statistics is essential to grasp shifting usage behaviors, engagement levels, and emerging market dynamics. These insights not only reflect user expectations but also serve as a strategic guide for shaping the future of mobile app growth.

Statistics on applications approved under “Technology Talent Admission Scheme” provides relevant figures concerning applications approved under “Technology Talent Admission Scheme”

This table is the statistical data of various cases such as new patent applications, reexaminations, and prosecutions extracted from the database of the Intellectual Property Office of the Ministry of Economic Affairs for reference by the public.

This table is designed to extract relevant statistical data on new applications and public announcements of international industrial design patents in the first-tier classification from the database of the Intellectual Property Office of the Ministry of Economic Affairs for external reference.

Compile statistical data on the number of trademark applications for each type of case every month for external reference and use.

Australian and New Zealand journal of statistics Acceptance Rate - ResearchHelpDesk - The Australian & New Zealand Journal of Statistics is an international journal managed jointly by the Statistical Society of Australia and the New Zealand Statistical Association. Its purpose is to report significant and novel contributions in statistics, ranging across articles on statistical theory, methodology, applications and computing. The journal has a particular focus on statistical techniques that can be readily applied to real-world problems, and on application papers with an Australasian emphasis. Outstanding articles submitted to the journal may be selected as Discussion Papers, to be read at a meeting of either the Statistical Society of Australia or the New Zealand Statistical Association. The main body of the journal is divided into three sections. The Theory and Methods Section publishes papers containing original contributions to the theory and methodology of statistics, econometrics and probability, and seeks papers motivated by a real problem and which demonstrate the proposed theory or methodology in that situation. There is a strong preference for papers motivated by, and illustrated with, real data. The Applications Section publishes papers demonstrating applications of statistical techniques to problems faced by users of statistics in the sciences, government and industry. A particular focus is the application of newly developed statistical methodology to real data and the demonstration of better use of established statistical methodology in an area of application. It seeks to aid teachers of statistics by placing statistical methods in context. The Statistical Computing Section publishes papers containing new algorithms, code snippets, or software descriptions (for open source software only) which enhance the field through the application of computing. Preference is given to papers featuring publically available code and/or data, and to those motivated by statistical methods for practical problems. In addition, suitable review papers and articles of historical and general interest will be considered. The journal also publishes book reviews on a regular basis. Abstracting and Indexing Information Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Academic Search Elite (EBSCO Publishing) Academic Search Premier (EBSCO Publishing) CompuMath Citation Index (Clarivate Analytics) Current Index to Statistics (ASA/IMS) Journal Citation Reports/Science Edition (Clarivate Analytics) Mathematical Reviews/MathSciNet/Current Mathematical Publications (AMS) RePEc: Research Papers in Economics Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier) Statistical Theory & Method Abstracts (Zentralblatt MATH) ZBMATH (Zentralblatt MATH)

Statistical table for the nature of cases requested by the people for the first-level authority of this government office