Gennaro PERCANNELLA | MEDICAL STATISTICS AND INFORMATICS

cod. 1060100004

MEDICAL STATISTICS AND INFORMATICS

	1060100004
	DIPARTIMENTO DI MEDICINA, CHIRURGIA E ODONTOIATRIA "SCUOLA MEDICA SALERNITANA"
	EQF7
	MEDICINE AND SURGERY
	2020/2021

PERCORSO SHARED STUDY PATHWAY

	OBBLIGATORIO
	YEAR OF COURSE 1
	YEAR OF DIDACTIC SYSTEM 2016
	SECONDO SEMESTRE

TEACHING UNITS

	SSD	CFU	HOURS	ACTIVITY	TYPE OF ACTIVITY
1	STATISTICA MEDICA E INFORMATICA - MOD STATISTICA MEDICA
	MED/01	4	48	LESSONS	COMPULSORY SUBJECTS, CHARACTERISTIC OF THE CLASS
2	STATISTICA MEDICA E INFORMATICA - MOD BIOSTATISTICA
	MED/01	3	36	LESSONS	COMPULSORY SUBJECTS, CHARACTERISTIC OF THE CLASS
3	STATISTICA MEDICA E INFORMATICA - MOD INFORMATICA
	ING-INF/06	2	24	LESSONS	BASIC COMPULSORY SUBJECTS

PROFESSORS

	FAUSTO ACERNESE12 Curriculum
	GENNARO PERCANNELLA3 Curriculum

	Objectives
	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. THE COURSE AIMS TO SHOW STUDENTS THE PROCESS OF RESEARCH IN ALL PHASES THAT MAKE IT UP, HIGHLIGHTING THE DIFFERENCES INHERENT IN THE DIFFERENT TYPES AND METHODS OF RESEARCH: EXPERIMENTAL, QUASI-EXPERIMENTAL, OBSERVATIONAL (DESCRIPTIVE AND ANALYTICAL) - BASIC AND APPLIED RESEARCH - THE PHASES OF THE RESEARCH PROCESS - CLASSIFICATION OF THE SEARCH BASED ON TIME. THE MODULE SOCIOLOGY AIMS TO MAKE THE STUDENTS THE MAIN TOOLS FOR THE PREPARATION OF A RESEARCH PROJECT QUALITY AND QUANTITY, APPLICABLE TO SPECIFIC AREAS, WITH A FOCUS ON METHODS OF EBM, EBHC, EBP.

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.

THE COURSE AIMS TO SHOW STUDENTS THE PROCESS OF RESEARCH IN ALL PHASES THAT MAKE IT UP, HIGHLIGHTING THE DIFFERENCES INHERENT IN THE DIFFERENT TYPES AND METHODS OF RESEARCH: EXPERIMENTAL, QUASI-EXPERIMENTAL, OBSERVATIONAL (DESCRIPTIVE AND ANALYTICAL) - BASIC AND APPLIED RESEARCH - THE PHASES OF THE RESEARCH PROCESS - CLASSIFICATION OF THE SEARCH BASED ON TIME.
THE MODULE SOCIOLOGY AIMS TO MAKE THE STUDENTS THE MAIN TOOLS FOR THE PREPARATION OF A RESEARCH PROJECT QUALITY AND QUANTITY, APPLICABLE TO SPECIFIC AREAS, WITH A FOCUS ON METHODS OF EBM, EBHC, EBP.

	Prerequisites
	MODULE OF MEDICAL STATISTICS:BASIC KNOWLEDGE OF MATHEMATICS For the Dental Degree Course : ACCORDING TO SECTION 11 OF THE PUBLISHED DIDACTIC GUIDELINES

	Contents
	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

Contents

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
	LECTURES AND EXECISES

	Verification of learning
	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
	TEACHING UNIT: MEDICAL STATISTICS F. BARONE, L. MILANO, G. RUSSO, STATISTICA, ED. 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.

Texts

TEACHING UNIT: MEDICAL STATISTICS
F. BARONE, L. MILANO, G. RUSSO, STATISTICA, ED. 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
	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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Gennaro PERCANNELLA | MEDICAL STATISTICS AND INFORMATICS