Relevant bibliographies by topics / Biostatistics

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Biostatistics'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 July 2025

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Journal articles on the topic "Biostatistics"

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Lestari, Endang, Rahayu Rahayu, and Dian Indah Setyorini. "UPAYA PENINGKATAN PENGETAHUAN BIOSTATISTIK MELALUI PELATIHAN BIOSTATISTIK BAGI TENAGA KESEHATAN DI RSUD RA KARTINI JEPARA." JMM (Jurnal Masyarakat Mandiri) 8, no. 2 (2024): 2262. http://dx.doi.org/10.31764/jmm.v8i2.22061.

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Abstrak: Kompetensi penelitian bagi tenaga kesehatan sangat penting untuk mendorong gerakan Evidence Based Medicine (EBM), yakni dengan menyediakan bukti bukti terbaik dari penelitian dengan desain terbaik. Kegiatan pengabdian Masyarakat ini ditujukan untuk meningkatkan pengetahuan Biostatistik tenaga Kesehatan RSUD RA Kartini Jepara. Subjek pengabdian ini adalah 24 tenaga Kesehatan di RSUD RA Kartini Jepara. Indikator keberhasilan kegiatan ini adalah peningkatan pengetahuan Biostatistik dan sikap tenaga kesehatan semakin positif terhadap Biostatistik. Kegiatan pengabdian dilakukan dalam bentu
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Cen, Xinyi. "Optimization of Biostatistics Beaching Model from the Perspective of Public Health Emergencies." Journal of Education, Humanities and Social Sciences 23 (December 13, 2023): 378–83. http://dx.doi.org/10.54097/ehss.v23i.12922.

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Using biostatistical methods, simulation in the classroom of emergency events can allow students to solve practical problems in the classroom. This paper discusses the application of flipped classroom in promoting the reform of biostatistics teaching mode, transforming the teaching mode of biostatistics, and improving the teaching quality of biostatistics from the perspective of public health events. Practice has proved that this experiment has achieved good teaching effect.
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Trukhacheva, Nina, Nikolay Pupyrev, Ylia Alyabieva, and Svetlana Tschernysheva. "Teaching Biostatistics to Medical Students of the Altai State Medical University." Politehnika 3, no. 1 (2019): 7–11. http://dx.doi.org/10.36978/cte.3.1.1.

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The current research presents some principles and settings in teaching biostatistics. The purpose of study is to enhance the teaching of biostatistics in Russian medical schools and overcome some problems by applying new approaches and innovation techniques. The research included the questionnaire of students, teachers and postgraduates of the Altai State Medical University. There were applied different approaches and studying by means of learning system MOODLЕ with differentiated courses in biostatistics. Categorical data were analyzed using the chi-square test and a P-value less than 0.05 wa
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Kehinde Josephine Olowe, Ngozi Linda Edoh, Stephane Jean Christophe Zouo, and Jeremiah Olamijuwon. "Theoretical perspectives on biostatistics and its multifaceted applications in global health studies." International Journal of Applied Research in Social Sciences 6, no. 11 (2024): 2791–806. http://dx.doi.org/10.51594/ijarss.v6i11.1726.

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Biostatistics plays a crucial role in global health studies by providing the tools necessary for analyzing complex health data and informing evidence-based public health decisions. This theoretical review explores the foundations of biostatistics and its diverse applications in the context of global health. At its core, biostatistics utilizes mathematical and statistical principles to analyze health data, enabling researchers to identify patterns, determine risk factors, assess interventions, and predict health outcomes across populations. Key theoretical concepts, including probability theory
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Shi, Chongwei. "Research on the Application of Computer Technology in Biostatistics." Journal of Computing and Electronic Information Management 14, no. 3 (2024): 12–15. http://dx.doi.org/10.54097/73xk3226.

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This paper explores the application of computer technology in biostatistics, focusing on the technological advancements and their impact on data management, data processing and analysis, and data visualization. With the development of computer technology, data storage and management methods have significantly improved, particularly with the introduction of database systems and big data technologies, which have greatly enhanced the efficiency and accuracy of handling biostatistical data. Additionally, the application of machine learning and artificial intelligence has made biostatistical data a
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Zheng, Qi. "Let Computing Be a Powerful Tool for Teaching Conceptual Biostatistics to Public Health Students." International Journal of Advanced Corporate Learning (iJAC) 18, no. 3 (2025): 103–18. https://doi.org/10.3991/ijac.v18i3.53197.

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Over a decade ago some statistics educators were excited at the prospect of using computing as an effective tool for teaching conceptual knowledge of statistics, but few concrete examples of this novel teaching approach have emerged. Here I describe a novel method of treating computing as a tool for teaching conceptual biostatistical knowledge to public health students. By this new approach instructors translate the task of learning conceptual biostatistical knowledge into a process of doing carefully designed computing exercises that are reliant on elementary mathematics and first principles
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Collins, Andrew P., Max McCall, Joshua Cassinat, et al. "Performance of Orthopaedic Shoulder and Elbow Surgeons on a Biostatistical Knowledge Examination." Advances in Orthopedics 2023 (September 11, 2023): 1–8. http://dx.doi.org/10.1155/2023/8840263.

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Background. The objective of this study is to evaluate the biostatistical interpretation abilities of fellowship trained orthopaedic surgeons. Methods. A cross-sectional survey was administered to orthopaedic surgeon members of the American Shoulder and Elbow Surgeons (ASES), assessing orthopaedic surgeon attitudes towards biostatistics, confidence in understanding biostatistics, and ability to interpret biostatistical measures on a multiple-choice test. Results. A 4.5% response rate was achieved with 55 complete survey responses. The mean percent correct was 55.2%. Higher knowledge test score
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Batra, Manu, Mudit Gupta, Subha Soumya Dany, and Prashant Rajput. "Perception of Dental Professionals towards Biostatistics." International Scholarly Research Notices 2014 (October 29, 2014): 1–6. http://dx.doi.org/10.1155/2014/291807.

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Biostatistics is becoming an integral part of dental sciences. Awareness regarding the subject is not thoroughly assessed in the field of dentistry. So the study was conducted to assess dental professionals’ knowledge, attitude, and perception toward biostatistics at an academic dental institution. An anonymous cross-sectional questionnaire survey was conducted among all the faculty and postgraduate students of two dental colleges in Moradabad, Uttar Pradesh. The responses were assessed on 5-point likert scale. The survey response rate was 73.71%. Two-thirds of respondents believed biostatisti
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Vasudevan, Senthilvel. "Teaching of subject Biostatistics Its Applications and Research Methodology to Undergraduate Pharmacy Students in Central Region of Saudi Arabia." International Journal of Medical Sciences and Nursing Research 3, no. 2 (2023): 14–16. http://dx.doi.org/10.55349/ijmsnr.2023321416.

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Background: Biostatistics means statistical tools have been used in the study of medical/biomedical sciences. It is also called Medical Biostatistics/Medical Statistics. It is an important subject in medical, nursing, pharmacy, Bioallied Health Sciences, and other biology related specialties. In this article, I briefly explained my teaching and research experiences related to Biostatistics to the College of Pharmacy (COP) students. Materials and Methods: In this paper I have discussed and explored all the steps related to teaching Biostatistics, its applications, and research methods and its i
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Chirwa, Tobias F., Zvifadzo Matsena Zingoni, Pascalia Munyewende, et al. "Developing excellence in biostatistics leadership, training and science in Africa: How the Sub-Saharan Africa Consortium for Advanced Biostatistics (SSACAB) training unites expertise to deliver excellence." AAS Open Research 3 (October 5, 2020): 51. http://dx.doi.org/10.12688/aasopenres.13144.1.

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The increase in health research in sub-Saharan Africa (SSA) has generated large amounts of data and led to a high demand for biostatisticians to analyse these data locally and quickly. Donor-funded initiatives exist to address the dearth in statistical capacity, but few initiatives have been led by African institutions. The Sub-Saharan African Consortium for Advanced Biostatistics (SSACAB) aims to improve biostatistical capacity in Africa according to the needs identified by African institutions, through (collaborative) masters and doctoral training in biostatistics. We describe the SSACAB Con
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Dissertations / Theses on the topic "Biostatistics"

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Silva, Tiago André dos Santos. "Internship report in biostatistics." Master's thesis, Universidade de Aveiro, 2011. http://hdl.handle.net/10773/6154.

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Mestrado em Biomedicina Farmacêutica<br>Este relatório descreve a minha experiência de 9 meses enquanto estagiário na Eurotrials, Consultores Científicos, uma Empresa especializada em investigação clínica e consultoria científica. Este estágio desenrolou-se em duas vertentes: formação multidisciplinar e monodisciplinar. A formação multidisciplinar envolveu alguma forma de participação activa em diferentes departamentos desta Empresa, com o objectivo de obter uma perspectiva alargada do processo multidisciplinar inerente ao desenvolvimento clínico de produtos de saúde. A formação monodi
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Puza, Borek Dalibor. "Aspects of Bayesian biostatistics." Thesis, Canberra, ACT : The Australian National University, 1994. http://hdl.handle.net/1885/140911.

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Li, Yin. "Application of logistic regression in biostatistics." Thesis, McGill University, 1993. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=68201.

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The primary objective of this paper is a focused introduction to the logistic regression model and its use in methods for modeling the relationship between a dichotomous outcome variable and a set of covariates. The approach we will take is to develop the model from a regression analysis point of view. Also in this paper, an estimator of the common odds ratio in one-to-one matched case-control studies is proposed. The connection between this estimator and the James-Stein estimating procedure is highlighted through the argument of estimating functions. Comparisons are made between this estimato
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SBROLLINI, AGNESE. "Biostatistics of Cardiac Signals: Theory & Applications." Doctoral thesis, Università Politecnica delle Marche, 2019. http://hdl.handle.net/11566/263514.

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L’obiettivo della bioingegneria è lo studio dei fenomeni delle scienze della vita. La statistica è un eccellente strumento per la modellazione, l’analisi, la caratterizzazione e l’interpretazione di questi fenomeni. Scopo di questa tesi di dottorato è quello di combinare le principali tecniche statistiche con l'elaborazione dei segnali cardiaci. L'importanza delle statistiche nella bioingegneria cardiaca può essere compresa attraverso la loro applicazione; quindi, sono state presentate quattro applicazioni reali. La prima applicazione è l'Adaptive Thresholding Identification Algorithm (AThrI
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Nam, In-Sun. "Contributions to the theory and practice of Biostatistics." Thesis, Queensland University of Technology, 2000. https://eprints.qut.edu.au/105691/1/T%28S%29%20737%20Contributions%20to%20the%20theory%20and%20practice%20of%20biostatistics.pdf.

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Biostatistics is the application of statistical concepts and methods to medicine and the biological sciences. The objectives of this work are twofold: 1. To develop suitable multivariate meta analysis methods which will contribute to the theory of biostatistics and to apply them to a new dataset on passive smoking and health outcomes (asthma and lower respiratory disease) in children, a topic of current interest (NHMRC report). 2. To provide case studies and details of statistical advice given to clinicians at the Prince Charles Hospital with the aim to conduct statistically sound trials and
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Barcella, William. "Covariate dependent random measures with applications in biostatistics." Thesis, University College London (University of London), 2017. http://discovery.ucl.ac.uk/10037679/.

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In Bayesian nonparametrics, the specification of suitable (for practical purposes) stochastic processes whose realisations are discrete probability measures plays a crucial role. Recently, real world applications have motivated the extension of these stochastic processes to incorporate covariate information in the realisations with the aim of constructing infinite mixture models having weights and/or component-specific parameters which depend on covariates. This work presents four different modelling strategies motivated by practical problems involving stochastic processes over covariate depen
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Shi, Jing. "Biostatistics and bioinformatics methods for analysis of pathways and gene expression /." May be available electronically:, 2007. http://proquest.umi.com/login?COPT=REJTPTU1MTUmSU5UPTAmVkVSPTI=&clientId=12498.

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Karlsson, Andreas. "Estimation and Inference for Quantile Regression of Longitudinal Data : With Applications in Biostatistics." Doctoral thesis, Uppsala : Acta Universitatis Upsaliensis, 2006. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-7186.

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Zhao, Sihai. "Survival Analysis with High-Dimensional c\Covariates, with Applications to Cancer Genomics." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10245.

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Recent technological advances have given cancer researchers the ability to gather vast amounts of genetic and genomic data from individual patients. These offer tantalizing possibilities for, for example, basic cancer biology, tailored therapies, and personalized risk predictions. At the same time, they have also introduced many analytical difficulties that cannot be properly addressed with current statistical procedures, because the number of genomic covariates in these datasets is often larger than the sample size. In this dissertation we study methods for addressing this so-called high-dime
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Snavely, Anna Catherine. "Multivariate Data Analysis with Applications to Cancer." Thesis, Harvard University, 2012. http://dissertations.umi.com/gsas.harvard:10371.

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Multivariate data is common in a wide range of settings. As data structures become increasingly complex, additional statistical tools are required to perform proper analyses. In this dissertation we develop and evaluate methods for the analysis of multivariate data generated from cancer trials. In the first chapter we consider the analysis of clustered survival data that can arise from multicenter clinical trials. In particular, we review and compare marginal and conditional models numerically through simulations and discuss model selection techniques. A multicenter clinical trial of child
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Books on the topic "Biostatistics"

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MacNeill, Ian B., Gary J. Umphrey, Allan Donner, and V. Krishna Jandhyala, eds. Biostatistics. Springer Netherlands, 1986. http://dx.doi.org/10.1007/978-94-009-4794-8.

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Van Belle, Gerald, Lloyd D. Fisher, Patrick J. Heagerty, and Thomas Lumley. Biostatistics. John Wiley & Sons, Inc., 2004. http://dx.doi.org/10.1002/0471602396.

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Williams, Brian. Biostatistics. Springer US, 1993. http://dx.doi.org/10.1007/978-1-4899-6906-4.

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1931-, MacNeill Ian B., Umphrey Gary J. 1953-, and Joshi V. M, eds. Biostatistics. D. Reidel, 1987.

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Le, Chap T. Introductory Biostatistics. John Wiley & Sons, Ltd., 2003.

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Källén, Anders. Understanding Biostatistics. John Wiley & Sons, Ltd, 2011. http://dx.doi.org/10.1002/9781119992677.

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Lesaffre, Emmanuel, and Andrew B. Lawson. Bayesian Biostatistics. John Wiley & Sons, Ltd, 2012. http://dx.doi.org/10.1002/9781119942412.

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Oliveira, A. Gouveia, ed. Biostatistics Decoded. John Wiley & Sons, Ltd, 2013. http://dx.doi.org/10.1002/9781118670767.

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A, Berry Donald, and Stangl Dalene K. 1956-, eds. Bayesian biostatistics. M. Dekker, 1996.

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Indrayan, Abhaya. Medical biostatistics. Marcel Dekker, 2000.

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Book chapters on the topic "Biostatistics"

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Mosteller, Frederick. "Biostatistics." In The Pleasures of Statistics. Springer New York, 2009. http://dx.doi.org/10.1007/978-0-387-77956-0_20.

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Kunkov, Sergey. "Biostatistics." In Prepare for the Pediatric Emergency Medicine Board Examination. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-28372-8_34.

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Wimann, Sawyer Cimaroli, and Shahidul Islam. "Biostatistics." In The ABSITE Blueprints. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-32643-1_21.

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Hans, Sachinder Singh. "Biostatistics." In Self-Assessment for Vascular and Endovascular Specialists. CRC Press, 2023. http://dx.doi.org/10.1201/9781003389897-21.

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Khasim, S. M., K. Thammasiri, S. Rama Rao, and M. Rahamtulla. "Biostatistics." In Plant Techniques. CRC Press, 2024. http://dx.doi.org/10.1201/9781003503682-11.

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de Paz, Carlos Chavez, and Allen Murga. "Biostatistics." In The Vascular Surgery In-Training Examination Review (VSITE). Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-24121-5_28.

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Rahbar, Elaheh, Sapan S. Desai, Eric Mowatt-Larssen, and Mohammad Hossein Rahbar. "Biostatistics." In Phlebology, Vein Surgery and Ultrasonography. Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01812-6_25.

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Wilson, Susan R. "Biostatistics." In International Encyclopedia of Statistical Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-04898-2_147.

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Kumar Singh, Bikesh, and G. R. Sinha. "Biostatistics." In Machine Learning in Healthcare. CRC Press, 2022. http://dx.doi.org/10.1201/9781003097808-1.

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Husar, Peter, and Gabriel Gašpar. "Biostatistics." In Electrical Biosignals in Biomedical Engineering. Springer Berlin Heidelberg, 2023. http://dx.doi.org/10.1007/978-3-662-67998-2_6.

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Conference papers on the topic "Biostatistics"

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Lucia Marçal Mazza Sundefeld, Maria. "A successful experience of database employment." In Statistics and the Internet. International Association for Statistical Education, 2003. http://dx.doi.org/10.52041/srap.03314.

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Dental School students usually take the biostatistics course for granted. In Brazil, some Schools of Dentistry do not offer Biostatistics as a course in the curriculum, but at the Dental School of Araçatuba, São Paulo State, Brazil, Biostatistics is a three-hour-per-week course. Objective: To motivate the students to learn Biostatistics by using the databases of different dental fields. Methodology: To teach Biostatistics using the databases of different fields of dentistry. After 2 years using dentistry databases, an opinion survey was applied to all professors and students from the 2nd throu
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Prihanti, Gita Sekar. "EVALUATING BIOSTATISTICAL COMPETENCIES FOR MEDICAL STUDENT: THE BENEFITS OF A BIOSTATISTICS CENTRE DEVELOPMENT." In International Conference on Public Health. The International Institute of Knowledge Management (TIIKM), 2018. http://dx.doi.org/10.17501/icoph.2017.3212.

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van Strik, Roel. "Teaching Biostatistics to medical Students." In Proceedings of the First Scientific Meeting of the IASE. International Association for Statistical Education, 1993. http://dx.doi.org/10.52041/srap.93209.

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Sundefeld, Maria Lucia Marçal Mazza, Amália Moreno, and Márcia Regina Espírito Santo. "Assessing the inclusion of biostatistics in schools of dentistry in brazil." In Assessing Student leaning in Statistics. International Association for Statistical Education, 2007. http://dx.doi.org/10.52041/srap.07404.

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The National Institute of Study and Research of the Ministry of Education in Brazil states that there are 169 Schools of Dentistry in 2006. At the School of Dentistry of Araçatuba, UNESP, Brazil, this Biostatistics discipline is included in the course with 90 credit hours a year. An interrelationship with other professors has been developed for some years using database of different dental fields. The aim of this research is to get acquainted with the teaching of Biostatics at schools of dentistry in Brazil. The methodology applied was to send the questionnaire to all the coordinators of the c
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Cruz, João Pedro. "PROBLEM BASED LEARNING IN A BIOSTATISTICS COURSE." In 12th annual International Conference of Education, Research and Innovation. IATED, 2019. http://dx.doi.org/10.21125/iceri.2019.2330.

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Octavia, Eva Nur, and Pandu Riono. "Effectivity of National Health Insurance on Maternal Health in Developing Countries: A Systematic Review." In THE 7th INTERNATIONAL CONFERENCE ON PUBLIC HEALTH 2020. Masters Program in Public Health, Universitas Sebelas Maret, 2020. http://dx.doi.org/10.26911/the7thicph-fp.04.17.

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Cuijun Zhao and Guoquan Jiang. "An application multimedia to the teaching of biostatistics." In 2010 2nd International Conference on Education Technology and Computer (ICETC). IEEE, 2010. http://dx.doi.org/10.1109/icetc.2010.5529418.

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Zhang, Jing, Yunrong Yan, Zhongliang Wang, Xuefeng Wang, and Chunyan Shen. "Excellent Resource Sharing Course Construction on Aquatic Biostatistics." In 2016 International Forum on Management, Education and Information Technology Application. Atlantis Press, 2016. http://dx.doi.org/10.2991/ifmeita-16.2016.69.

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Zhu, Shu-Ren, Hui-Hui Hu, and Wei-Qin Li. "Extraction and Application of the Signature Biostatistics Features." In First International Conference on Innovative Computing, Information and Control. IEEE, 2006. http://dx.doi.org/10.1109/icicic.2006.451.

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Xiao, Xiaonan. "Exploration of Biostatistics Research in the New Century." In Proceedings of the 2018 2nd International Conference on Education Innovation and Social Science (ICEISS 2018). Atlantis Press, 2018. http://dx.doi.org/10.2991/iceiss-18.2018.34.

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Reports on the topic "Biostatistics"

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Little, Roderick J. Training Program in Biostatistics for Breast Cancer Research. Defense Technical Information Center, 1995. http://dx.doi.org/10.21236/ada299342.

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Hovland, P., C. Bischof, D. Spiegelman, and M. Casella. Efficient derivative codes through automatic differentiation and interface contraction: An application in biostatistics. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/515613.

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Slater, Justin. Introduction to Bayesian Modelling using RStan (Free Seminar). Instats Inc., 2025. https://doi.org/10.61700/1falmp59ogop21675.

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This seminar provides a comprehensive introduction to Bayesian analysis using R and RStan, with applications in biostatistics and epidemiology. Participants will learn to formulate and implement custom Bayesian models, building their autonomy when applying these methods to their own statistical problems.
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Lawson, Andrew. Bayesian Spatial and Spatio-Temporal Modeling in R. Instats Inc., 2024. http://dx.doi.org/10.61700/jsdeeudk51kk31519.

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This workshop provides a comprehensive introduction to advanced techniques for analyzing spatial and spatio-temporal data. While the examples used will be primarily from the health sciences, this four-day hands-on workshop is designed to equip PhD students, professors, and professional researchers with the skills to conduct cutting-edge research in various fields, including Geography, Epidemiology, Public Health, Biostatistics, Ecology, Sociology, and Political Science.
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Oskolkov, Nikolay. Machine Learning for Computational Biology. Instats Inc., 2024. http://dx.doi.org/10.61700/l01vi14ohm8en1490.

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This one-day workshop, led by Nikolay Oskolkov from Lund University, provides a comprehensive introduction to machine learning techniques in computational biology, focusing on both theoretical knowledge and practical coding skills in R and Python. Participants will learn to implement from scratch and optimize algorithms such as neural networks, random forest, k-means clustering, and Markov Chain Monte Carlo (MCMC), making it an essential resource for advancing research in biostatistics, genetics, and data science.
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Muyle, Aline. Analysis of DNA Methylation. Instats Inc., 2024. http://dx.doi.org/10.61700/6ayq8hff26qxn1470.

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This three-day workshop provides comprehensive training in the analysis of DNA methylation, a key epigenetic modification influencing gene expression and controlling the spread of transposable elements in genomes. Led by Dr Aline Muyle, participants will gain theoretical knowledge and practical skills in data preprocessing, statistical analysis, and visualization using RStudio and various bioinformatic software using Bash scripts. The workshop is suited for researchers in Biostatistics, Biology, Genetics, Ecology, Evolution, Bioinformatics, Molecular Biology, and Medical Research.
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‘Adolescent and maternal mental health before during the pandemic’ – In Conversation Dr. Nicky Wright. ACAMH, 2021. http://dx.doi.org/10.13056/acamh.16165.

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This episode of our JCPP Advances series that focus on the papers and editors featured in the publication is with Dr. Nicola Wright, research associate at the department of Biostatistics and Health Informatics, Kings College London. Nicola discusses her paper 'Interplay between long-term vulnerability and new risk: Young adolescent and maternal mental health immediately before and during the COVID-19 pandemic'.
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Introduction to GraphPad Prism. Instats Inc., 2023. http://dx.doi.org/10.61700/ed95dhmnw0403469.

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This workshop is designed to introduce participants to GraphPad, a comprehensive and user-friendly statistical software widely used in biostatistics for biomedical research. Participants will become familiar with the GraphPad environment, learning basic manipulations such as data entry and import, statistical analyses, and visualization. Emphasis will be placed on different types of tables, and the training will also include a review of basic principles of descriptive and inferential statistics through hands-on examples using the software. For European PhD students, the seminar offers 1 ECTS E
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9

Introduction to GraphPad Prism. Instats Inc., 2023. http://dx.doi.org/10.61700/aln9mklg7x4qr469.

Full text
Abstract:
This workshop is designed to introduce participants to GraphPad, a comprehensive and user-friendly statistical software widely used in biostatistics for biomedical research. Participants will become familiar with the GraphPad environment, learning basic manipulations such as data entry and import, statistical analyses, and visualization. Emphasis will be placed on different types of tables, and the training will also include a review of basic principles of descriptive and inferential statistics through hands-on examples using the software. For European PhD students, the seminar offers 1 ECTS E
APA, Harvard, Vancouver, ISO, and other styles
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