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Journal Club Series Episode 6 - Hypothesis Testing (e.g. Type 1 and Type II Errors, P-values)
Manage episode 467701165 series 2390715
Title: Episode 6- Hypothesis Testing (e.g. Type 1 and Type II Errors, P-values)
Target Audience
This activity is directed to physicians who take care of hospitalized children, medical students, nurse practitioners, and physician assistants working in the emergency room, intensive care unit, or hospital wards.
Objectives:
Upon completion of this activity, participants should be able to:
1. Discuss the definition and relevance of p-values.
2. Discuss type 1 vs type ii errors.
3. Discuss statistical significance and what it means.
Course Directors:
Tony R. Tarchichi MD — Associate Professor, Department of Pediatrics, Children's Hospital of Pittsburgh of the University of Pittsburgh Medical Center (UPMC.) Paul C. Gaffney Division of Pediatric Hospital Medicine.
No relationships with industry relevant to the content of this educational activity have been disclosed.
Jenna Carlson Ph.D. - University of Pittsburgh- Assistant Professor of Human Genetics and Biostatistics in school of Public Health
No relationships with industry relevant to the content of this educational activity have been disclosed.
Conflict of Interest Disclosure:
No other planners, members of the planning committee, speakers, presenters, authors, content reviewers and/or anyone else in a position to control the content of this education activity have relevant financial relationships to disclose.
Accreditation Statement:
In support of improving patient care, the University of Pittsburgh is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.
The University of Pittsburgh School of Medicine designates this enduring material activity for a maximum of 0.5 AMA PRA Category 1 CreditsTM. Physicians should only claim credit commensurate with the extent of their participation in the activity.
Other health care professionals will receive a certificate of attendance confirming the number of contact hours commensurate with the extent of participation in this activity.
Disclaimer Statement:
The information presented at this activity represents the views and opinions of the individual presenters, and does not constitute the opinion or endorsement of, or promotion by, the UPMC Center for Continuing Education in the Health Sciences, UPMC / University of Pittsburgh Medical Center or Affiliates and University of Pittsburgh School of Medicine. Reasonable efforts have been taken intending for educational subject matter to be presented in a balanced, unbiased fashion and in compliance with regulatory requirements. However, each program attendee must always use his/her own personal and professional judgment when considering further application of this information, particularly as it may relate to patient diagnostic or treatment decisions including, without limitation, FDA-approved uses and any off-label uses.
Released 2/20/2025, Expires 2/20/2028
The direct link to the course is provided below:
https://cme.hs.pitt.edu/ISER/app/learner/loadModule?moduleId=25580&dev=true
103 episodes
Manage episode 467701165 series 2390715
Title: Episode 6- Hypothesis Testing (e.g. Type 1 and Type II Errors, P-values)
Target Audience
This activity is directed to physicians who take care of hospitalized children, medical students, nurse practitioners, and physician assistants working in the emergency room, intensive care unit, or hospital wards.
Objectives:
Upon completion of this activity, participants should be able to:
1. Discuss the definition and relevance of p-values.
2. Discuss type 1 vs type ii errors.
3. Discuss statistical significance and what it means.
Course Directors:
Tony R. Tarchichi MD — Associate Professor, Department of Pediatrics, Children's Hospital of Pittsburgh of the University of Pittsburgh Medical Center (UPMC.) Paul C. Gaffney Division of Pediatric Hospital Medicine.
No relationships with industry relevant to the content of this educational activity have been disclosed.
Jenna Carlson Ph.D. - University of Pittsburgh- Assistant Professor of Human Genetics and Biostatistics in school of Public Health
No relationships with industry relevant to the content of this educational activity have been disclosed.
Conflict of Interest Disclosure:
No other planners, members of the planning committee, speakers, presenters, authors, content reviewers and/or anyone else in a position to control the content of this education activity have relevant financial relationships to disclose.
Accreditation Statement:
In support of improving patient care, the University of Pittsburgh is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.
The University of Pittsburgh School of Medicine designates this enduring material activity for a maximum of 0.5 AMA PRA Category 1 CreditsTM. Physicians should only claim credit commensurate with the extent of their participation in the activity.
Other health care professionals will receive a certificate of attendance confirming the number of contact hours commensurate with the extent of participation in this activity.
Disclaimer Statement:
The information presented at this activity represents the views and opinions of the individual presenters, and does not constitute the opinion or endorsement of, or promotion by, the UPMC Center for Continuing Education in the Health Sciences, UPMC / University of Pittsburgh Medical Center or Affiliates and University of Pittsburgh School of Medicine. Reasonable efforts have been taken intending for educational subject matter to be presented in a balanced, unbiased fashion and in compliance with regulatory requirements. However, each program attendee must always use his/her own personal and professional judgment when considering further application of this information, particularly as it may relate to patient diagnostic or treatment decisions including, without limitation, FDA-approved uses and any off-label uses.
Released 2/20/2025, Expires 2/20/2028
The direct link to the course is provided below:
https://cme.hs.pitt.edu/ISER/app/learner/loadModule?moduleId=25580&dev=true
103 episodes
All episodes
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1 Journal Club Series Episode 14 - Cost Benefit, Cost Effectiveness, and Outcomes 28:16

1 Journal Club Series Episode 13- Systematic Review and Meta-Analysis 39:18

1 Journal Club Series Episode 12- Regression (eg, linear, logistic, survival analysis) 16:10

1 Journal Club Series Episode 11- Measurement of association and effect (eg, correlation & causation) 22:04

1 Journal Club Series Episode 10- Measurement of association and effect (relative risk & odds ratio) 22:53

1 Journal Club Series Episode 9 - Common statistical tests Part 2 (eg, Student’s T test, analysis of variance [ANOVA], chi-square, nonparametric tests) 25:27

1 Journal Club Series Episode 8 - Common statistical tests Part 1 (eg, Student’s T test, analysis of variance [ANOVA], chi-square, nonparametric tests) 37:42

1 Journal Club Series Episode 7 - Statistical Power 25:52

1 Journal Club Series Episode 6 - Hypothesis Testing (e.g. Type 1 and Type II Errors, P-values) 23:13

1 Journal Club Series Episode 5 - Bias and Confounding 30:19

1 Journal Club Series Episode 4 - Incidence, prevalence & Study Definitions 26:33

1 Journal Club Series - Episode 3b - Types of variables & Distribution of data 28:51

1 Journal Club Series - Episode 3a - Measurements (ex: reliability and validity) 25:57

1 Journal Club Series- Episode 2 - Study Design, Performance, Analysis and Generalizability 30:30

1 Journcal Club Series - Episode 1 - Diagnostic tests (eg, sensitivity and specificity, predictive values, disease prevalence) 28:11


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