{"doi":"10.21106/ijtmrph.418","title":"Building Physician-Scientist Skills in R Programming: A Short Workshop Report","abstract":"Introduction: Statistical analysis programs require coding experience and a basic understanding of programming, skills which are not taught as part of medical school or residency curricula. Methods: We conducted a five-day course for early-career Nigerian physician-scientists interested in learning common statistical tests and acquiring R programming skills. The workshop included didactic presentations, small group learning activities, and interactive discussions. A baseline questionnaire captured participant demographics and solicited participants' level of confidence in understanding/performing common statistical tests. REDCap questionnaires were emailed to obtain feedback on educational format and content. A post-workshop assessment covered participants' overall impression of the program. Results: A total of 23 participants attended the program. Most participants were male (n=14, 60.9%) and at an early stage in their career (assistant professor, n=20, 87.0%). Approximately 70% of respondents indicated having received some prior training in statistics. The proportion of participants without experience using R and SAS software (90% and 85%, respectively) was greater than the corresponding proportions for Stata (55%) and SPSS (20%). Prior to the workshop, most respondents expressed being \"not at all confident\" in performing one-way ANOVA (60%), logistic regression (68%), simple linear regression (60%), and McNemar's test (80%). There was a statistically significant post-workshop improvement in the level of confidence in understanding and performing common statistical tests. The course was rated on a 0-100 scale as \"moderately difficult\" (mean ± SD: 51.7 ± 19.5). Most participants felt comfortable in putting the knowledge learned into practice (82.2 ± 17.1). Conclusion and Public Health Implications: Introductory R can be taught to junior physician-scientists in resource-limited settings and can inform the development and implementation of similar training initiatives in analogous settings.","journal":"International Journal of Translational Medical Research and Public Health","year":2022,"id":281419,"datarank":0.0,"base_score":0.0,"endowment":0.0,"self_citation_contribution":0.0,"citation_network_contribution":0.0,"self_endowment_contribution":0.0,"citer_contribution":0.0,"corpus_percentile":null,"corpus_rank":null,"citation_count":8,"citer_count":0,"citers_with_citation_signal":0,"citers_with_endowment":0,"datacite_reuse_total":0,"is_dataset":false,"is_dataset_confidence":0.9561,"is_data_producer":false,"deposit_databanks":null,"is_oa":true,"file_count":0,"downloads":0,"has_version_chain":false,"published_date":"2022-01-01","fair_score":null,"fair_percentile":null,"algorithm_id":"datarank_citation_only_1hop_v6","ranking_scope":"data_only","authors":[{"id":711269,"name":"Mahmoud U. Sani","orcid":"0000-0001-8946-129X","position":1,"is_corresponding":false},{"id":717243,"name":"Donna J. Ingles","orcid":null,"position":2,"is_corresponding":false},{"id":789120,"name":"Fatimah I. Tsiga-Ahmed","orcid":"0000-0003-4207-7981","position":3,"is_corresponding":false},{"id":716410,"name":"Baba Maiyaki Musa","orcid":"0000-0002-9159-3635","position":4,"is_corresponding":false},{"id":820636,"name":"Deepa Dongarwar","orcid":"0000-0002-7338-0636","position":5,"is_corresponding":false},{"id":820637,"name":"Hamisu M. Salihu","orcid":"0000-0002-7829-4200","position":6,"is_corresponding":false},{"id":73702,"name":"W. C. Wester","orcid":"0000-0003-0072-6736","position":7,"is_corresponding":false},{"id":353143,"name":"Muktar H. Aliyu","orcid":"0000-0001-9504-4679","position":0,"is_corresponding":true}],"reference_count":9,"raw_metadata":null,"created_at":"2026-07-19T00:29:11.698554Z","pmid":"35854710","pmcid":null,"fwci":null,"citation_percentile":null,"influential_citations":0,"oa_status":null,"license":null,"views":0,"total_file_size_bytes":0,"version_count":0,"fair_f":null,"fair_a":null,"fair_i":null,"fair_r":null,"fair_zscore":null,"fair_rationale":null,"fair_model":null,"fair_agent_version":null,"fair_fulltext_source":null,"fair_has_llm":null,"fair_computed_at":null,"clinical_trials":[],"software_tools":[],"db_accessions":[],"linked_datasets":[],"topics":[]}