Fabrizio BARONE | C.I. BEHAVIORAL SCIENCES AND SCIENTIFIC METHODOLOGY 2
Fabrizio BARONE C.I. BEHAVIORAL SCIENCES AND SCIENTIFIC METHODOLOGY 2
cod. 1060200002
C.I. BEHAVIORAL SCIENCES AND SCIENTIFIC METHODOLOGY 2
1060200002 | |
DIPARTIMENTO DI MEDICINA, CHIRURGIA E ODONTOIATRIA "SCUOLA MEDICA SALERNITANA" | |
EQF7 | |
DENTISTRY | |
2022/2023 |
OBBLIGATORIO | |
YEAR OF COURSE 1 | |
YEAR OF DIDACTIC SYSTEM 2015 | |
SPRING SEMESTER |
SSD | CFU | HOURS | ACTIVITY | ||
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C.I. SCIENZE COMPORTAMENTALI E METODOLOGIA SCIENTIFICA 2 - MOD. ODONTOIATRIA PREVENTIVA E DI COMUNITÀ | |||||
MED/28 | 2 | 22 | LESSONS | ||
C.I. SCIENZE COMPORTAMENTALI E METODOLOGIA SCIENTIFICA 2 - MOD. SOCIOLOGIA GENERALE | |||||
SPS/07 | 1 | 11 | LESSONS | ||
C.I. SCIENZE COMPORTAMENTALI E METODOLOGIA SCIENTIFICA 2 - MOD. STATISTICA MEDICA | |||||
MED/01 | 4 | 44 | LESSONS |
Objectives | |
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MODULE OF MEDICAL STATISTICS: THE STUDENT WILL ACQUIRE KNOWLEDGE OF THE MAIN ISSUES OF MEDICAL STATISTICS OF INTEREST TO THE DEGREE COURSE. IN PARTICULAR, HE WILL ACQUIRE KNOWLEDGE OF THE MAIN MODELS AND THEOREMS OF MEDICAL STATISTICS, IN CONNECTION WITH THE ASSUMPTIONS ON WHICH THESE MODELS ARE BASED, CRITICALLY UNDERSTANDING ALSO LIMITS OF VALIDITY AND APPLICABILITY IN REAL CONTEXTS (KNOWLEDGE AND UNDERSTANDING). THE STUDENT WILL BE ABLE TO SUCCESSFULLY APPLY THE MODELS AND THEOREMS OF MEDICAL STATISTICS TO QUALITATIVE AND QUANTITATIVE DESCRIPTION OF REAL CASES ALSO, AND ESPECIALLY, IN INTERDISCIPLINARY CONTEXTS OF INTEREST TO THE DEGREE COURSE, BY TESTING HYPOTHESES AND CONDITIONS ON WHICH THESE MODELS AND THEOREMS ARE BASED. THE STUDENT WILL ALSO BE ABLE TO EVALUATE THE QUALITY OF THE EXPECTED RESULTS BOTH IN RELATION TO THE INTRINSIC APPROXIMATIONS OF THE MODELS AND THEOREMS ADOPTED AND IN RELATION TO THE MEASUREMENT ERRORS (APPLIED KNOWLEDGE AND UNDERSTANDING). THE STUDENT WILL BE ABLE TO INTEGRATE THE NECESSARY KNOWLEDGE AND MANAGE THE COMPLEXITY OF THE INFORMATION IN THE ACQUISITION AND APPLICATION OF THE KNOWLEDGE OF MEDICAL STATISTICS, TO FORMULATE JUDGMENTS AND ASSUMPTIONS OF WORK, ALSO ON THE BASIS OF INCOMPLETE OR LIMITED INFORMATION, AND ON THE EFFECTS AND RESPONSIBILITIES RELATED TO THE PRACTICAL APPLICATION OF THE KNOWLEDGE (INDEPENDENT JUDGMENT). THE STUDENT WILL ACQUIRE THE ABILITY TO PRESENT TOPICS COVERED IN THE COURSE OF MEDICAL STATISTICS WITH PROPERTIES AND SIMPLICITY OF LANGUAGE, AIMED ALSO TO A CLEAR AND EFFECTIVE TRANSMISSION OF CONTENTS AND RESULTS IN INTERDISCIPLINARY CONTEXTS, IN PRESENCE OF INTERLOCUTORS WHO ARE NOT EXPERTS IN THE FIELD (COMMUNICATION). THE STUDENT WILL ACQUIRE SKILLS ALLOWING HIM TO EXPAND AND DEEPEN THE THEMES OF MEDICAL STATISTICS AND ITS INTERDISCIPLINARY APPLICATIONS IN AN AUTONOMOUS WAY (LEARNING SKILLS). MODULE OF PREVENTIVE AND COMMUNITY DENTISTRY: DEMONSTRATE PROFICIENCY IN UNDERSTANDING CLASSICAL AND ADVANCED CONCEPTS IN COMMUNITY AND PREVENTIVE DENTISTRY- LEARN ABILITY TO USE EPIDEMIOLOGICAL AND STATISTICAL METHODS AND STRATEGY - LEARN ABILITY TO INTEGRATE EPIDEMIOLOGICAL INFORMATIONS WITH CLINICAL JUDGEMENT- LEARN TO UNDERSTAND THE SCIENTIFIC METHODOLOGY INCLUDING THE ABILITY TO EVALUATE DATA ANALYSIS AND SCIENTIFIC LITERATURE AND INTEGRATE THE INFORMATIONS TO SOLVE CLINICAL PROBLEMS – ABILITY TO DEVELOP DENTAL PREVENTIVE AND TREATMENT PLANS FOR THE COMMUNITY THE COURSE AIMS TO TEACH STUDENTS THE KNOWLEDGE, SKILLS AND ABILITIES FOR CRITICAL REFLECTION WITH RESPECT TO THE USE OF RESEARCH. |
Prerequisites | |
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MODULE OF MEDICAL STATISTICS:BASIC KNOWLEDGE OF MATHEMATICS FOR THE DENTAL DEGREE COURSE : ACCORDING TO SECTION 11 OF THE PUBLISHED DIDACTIC GUIDELINES |
Contents | |
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MODULE:MEDICAL STATISTICS PROBABILITY: CONDITIONAL AND COMPOSED PROBABILITY; COMBINATORIAL ANALYSIS; LINK BETWEEN A PRIORI PROBABILITY AND RELATIVE FREQUENCY. DISTRIBUTIONS: DISTRIBUTIONS AND FREQUENCIES; INDICES OF THE DISTRIBUTION; MEASURES OF DISPERSION; CONTINUOUS PROBABILITY DISTRIBUTIONS; DISCRETE PROBABILITY DISTRIBUTIONS; DISTRIBUTION T OF STUDENT; 2; DISTRIBUTION F OF FISCHER; DEGREES OF FREEDOM; INTRODUCTION TO SIMULATION TECHNIQUES OF EXPERIMENTS. STATISTICAL INFERENCE: THEORY OF THE SAMPLES; ESTIMATION THEORY; THEORY OF DECISIONS; THE 2 TEST; ANALYSIS OF THE VARIANCE; THE FISHER TEST FOR THE VARIANCES; THE T TEST OF STUDENT; THE MC NEMAR TEST. INTERPOLATION AND LEAST SQUARES: INTERPOLATION; EXTRAPOLATION; LEAST SQUARES; OPERATIONAL REQUIREMENTS FOR THE METHOD OF LEAST SQUARES; NUMERICAL EXAMPLES; TIME SERIES. THEORY OF ERRORS: MEASUREMENT ERRORS; SYSTEMATIC ERRORS; ACCIDENTAL ERRORS; INDIRECT MEASUREMENTS; ERROR PROPAGATION. APPLICATIONS: APPLICATIONS OF THE ABOVE TOPICS TO DENTISTRY. COMMUNITY AND PREVENTIVE DENTISTRY OBJECTIVE AND METHODS OF PUBLIC DENTAL HEALTH BASELINE AND GOALS OF COMMUNITY AND PREVENTIVE DENTISTRY PREVENTIVE DENTISTRY LEVELS OF PREVENTION HEALTH EDUCATION EPIDEMIOLOGY MEASUREMENTS OF FREQUENCY OF HEALTHCARE OCCURRENCE (PREVALENCE AND INCIDENCE) ASSOCIATIVE MEASUREMENTS (RELATIVE RISK AND ODDS RATIO) EPIDEMIOLOGICAL STUDIES (DESCRIPTIVE, CROSS-SECTIONAL, CASE CONTROL, COHORT STUDY, EXPERIMENTAL STUDY) EPIDEMIOLOGICAL STUDIES (SAMPLING AND QUESTIONNAIRE) THE EPIDEMIOLOGICAL STUDY FOR GENE RELATED DISEASES IN THE ORO-MAXILLO-FACIAL REGION THE EPIDEMIOLOGICAL STUDY FOR RARE DISEASES IN THE ORO-MAXILLO-FACIAL REGION INTRODUCTION TO: ORAL EMBRYOLOGY AND ANATOMY, TOOTH EMBRYOLOGY AND HISTOLOGY, DENTO-PERIODONTAL ANATOMY, ORAL ANATOMY AND PHYSIOLOGY, PRIMARY AND PERMANENT DENTITION ANATOMY. TOOTH ERUPTION. INTRODUCTION TO DENTAL CARIES : EPIDEMIOLOGY AND PREVENTION INTRODUCTION TO PERIODONTAL DISEASE: EPIDEMIOLOGY AND PREVENTION MODULE: SOCIOLOGY BASIC RESEARCH AND APPLIED RESEARCH IN HEALTH CARE SETTINGS RESEARCH DESIGN HYPOTHESIS FORMULATION RESEARCH, TOOLS QUALITATIVE AND QUANTITATIVE VERIFICATION EXPLANATION, INTERPRETATION, PROCESSING AND MANAGEMENT OF DATA |
Teaching Methods | |
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LECTURES AND EXERCISES |
Verification of learning | |
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WRITTEN AND/OR ORAL EXAMINATION FINAL EXAM IN WRITTEN AND/OR ORAL ASSIGNMENT, AFFECTING THE CONTENTS KNOWLEDGE, THE UNDERSTANDING OF THE ISSUES ADDRESSED, THE AUTONOMY IN JUDGMENT, THE COMMUNICATION AND NEW LEARNING THE ABILITY. |
Texts | |
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TEACHING UNIT: MEDICAL STATISTICS WAYNE W. DANIEL, CHAD L. CROSS, BIOSTATISTICA, EDISES JOHN R. TAYLOR, INTRODUZIONE ALL’ANALISI DEGLI ERRORI, ED. ZANICHELLI. PHILIP BEVINGTON, D. KEITH ROBINSON, DATA REDUCTION AND ERROR ANALYSIS FOR THE PHYSICAL SCIENCES, ED. MCGRAW-HILL. MODULE OF COMMUNITY AND PREVENTIVE DENTISTRY: "ODONTOIATRIA DI COMUNITA". STROHMENGER L., FERRO R. MASSON 2003 AN EVENTUAL FURTHER LIST OF READINGS WILL BE INDICATED AT THE BEGINNING OF THE COURSE MODULE:SOCIOLOGY THE LIST OF READINGS WILL BE DISTRIBUTED AT THE BEGINNING OF THE COURSE. STUDY MATERIAL WILL BE PUT AT STUDENTS DISPOSAL FROM THE TEACHER DURING THE LESSONS. |
More Information | |
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FOR MORE DETAILED INFORMATION ON THE PROGRAM, NOTICES AND COMMUNICATIONS ABOUT THE UNIT OF MEDICAL STATISTICS, PLEASE REFER TO THE WEBSITES OF THE PROFESSORS: TEACHING UNIT: MEDICAL STATISTICS PROF. FABRIZIO BARONE HTTP://WWW.UNISA.IT/DOCENTI/FABRIZIOBARONE/INDEX |
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