{"text_format":"2","workbook":"xls","n_sheets":1,"sheets":["report2"],"not_rendered":{"charts":0,"images":0,"macros":0,"external_links":1,"defined_names":2,"comments":0,"pivot_tables":0},"unopened":[],"bounds":{"document_bytes":16777216,"sheet_cells":100000,"run_cost":"one","rows_first":2000,"rows_last":500,"rows_between":2000,"halvings":0,"cell_chars":16384,"cell_head_chars":4096},"cells_cut":0,"cells_raw":0,"read":"whole","date_system":"1900","formulas":"cached_only"}

{"sheet":"report2","index":0,"n_rows":31,"n_cols":5,"rows_kept":31,"cut":false,"hidden":false,"merged":[[0,2,0,3],[0,4,0,5],[1,2,1,3],[1,4,1,5],[2,2,2,3],[2,4,2,5],[3,2,3,3],[4,2,4,3],[5,2,5,3],[6,2,6,3],[7,2,7,3],[8,2,8,3],[10,2,10,3],[10,4,10,5],[11,2,11,3],[11,4,11,5],[12,2,12,3],[12,4,12,5],[13,2,13,3],[14,2,14,3],[16,2,16,3],[17,2,17,3],[18,2,18,3],[20,2,20,3],[26,2,26,3],[27,2,27,3],[29,2,29,3]],"flags":["formulas_cached_only"]}
[null,"1.","Record Nr.",null,"UNISA990000918180203316"]
[null,null,"Autore",null,"PFEFFER, Jeffrey"]
[null,null,"Titolo",null,"Power in organizations / Jeffrey Pfeffer ; cover design by Katty Lammerding"]
[null,null,"Pubbl/distr/stampa",null,"Cambridge Mass. : Ballinger, c1981"]
[null,null,"ISBN",null,"0-88730-199-1"]
[null,null,"Descrizione fisica",null,"XIV, 391 p. ; 24 cm"]
[null,null,"Collocazione",null,"II.5. 4241(II i B 689)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNINA9910739412103321"]
[null,null,"Autore",null,"Moscarelli Marco"]
[null,null,"Titolo",null,"Biostatistics With 'R': A Guide for Medical Doctors / / by Marco Moscarelli"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023"]
[null,null,"ISBN",null,"9783031330735"]
[{"$nulls":4},"3031330730"]
[null,null,"Edizione",null,"[1st ed. 2023.]"]
[null,null,"Descrizione fisica",null,"1 online resource (248 pages)"]
[null,null,"Disciplina",null,"610"]
[{"$nulls":4},"610.727"]
[null,null,"Soggetti",null,"Medicine"]
[{"$nulls":4},"Biometry"]
[{"$nulls":4},"Clinical medicine - Research"]
[{"$nulls":4},"Clinical Medicine"]
[{"$nulls":4},"Biostatistics"]
[{"$nulls":4},"Clinical Research"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Chapter 1. Introduction -- Chapter 2. How “R” works -- Chapter 3. Exploratory data analysis in “R” -- Chapter 4. Data types in “R” -- Chapter 5. Data distribution  -- Chapter 6. Precision, accuracy, indices of central tendency -- Chapter 7. Correlation -- Chapter 8. Hypothesis testing -- Chapter 9. Linear regression -- Chapter 10. Logistic regression -- Chapter 11. Survival analysis  -- Chapter 12. Propensity score matching."]
[null,null,null,"Sommario/riassunto","This book aims not only to introduce fundamental biostatistics topics but to explain them through R-project (R-studio). 'R' is perhaps the more used statistical software in the medical field. It is structured as a 'scientific journey' and comes with a sham yet realistic dataset ready to be analysed. The dataset along with the R-script can be downloaded from GitHub, and each chapter has dedicated scripts that will enhance the understanding of R and biostatistics. Specifically designed for whoever works in the medical-academic environment, this practical guide will help the reader to become familiar with basic to advanced biostatistics topic (descriptive - analysis / regression etc.) and to gain solid knowledge of R. ."]