Proposal
Pre-test, course overview and getting started with SPSS
Michael A. Joseph, PhD, MPH
School of Public Health at SUNY Downstate Medical Center, Brooklyn, NY
APHA 2016 Annual Meeting & Expo (Oct. 29 - Nov. 2, 2016)
The purpose of this session is to provide an overview of the Learning Institute and emphasize the importance of having solid data analysis and interpretation skills. At the beginning of the session, participants will complete a brief, pre-test questionnaire.
Biostatistics, economics Epidemiology
Proposal
Part 1: Independent and paired samples t-tests, one-way anova
Michael A. Joseph, PhD, MPH
School of Public Health at SUNY Downstate Medical Center, Brooklyn, NY
APHA 2016 Annual Meeting & Expo (Oct. 29 - Nov. 2, 2016)
Using practical, hands-on exercises, students will use SPSS to conduct and interpret analyses involving the independent samples t-test, paired t-test and one-way analysis of variance.
Biostatistics, economics Epidemiology
Proposal
Morning Break
APHA 2016 Annual Meeting & Expo (Oct. 29 - Nov. 2, 2016)
Proposal
Review of statistical analyses covered in part 1
Michael A. Joseph, PhD, MPH
School of Public Health at SUNY Downstate Medical Center, Brooklyn, NY
APHA 2016 Annual Meeting & Expo (Oct. 29 - Nov. 2, 2016)
This session is designed to reinforce analyses pertaining to the independent and paired samples t-test, and one-way anova through use of fun, interactive quizzes that foster critical thinking and discussion.
Biostatistics, economics Epidemiology
Proposal
Part 2: Creating new variables in SPSS, chi-square test, relative risk and odds ratio, correlation and linear regression
Michael A. Joseph, PhD, MPH
School of Public Health at SUNY Downstate Medical Center, Brooklyn, NY
APHA 2016 Annual Meeting & Expo (Oct. 29 - Nov. 2, 2016)
Using practical, hands-on exercises, students will use SPSS to conduct and interpret analyses involving Chi-square, odds ratios and relative risks, Pearson's correlation coefficient and simple linear regression.
Biostatistics, economics Epidemiology
Proposal
Break for Opening General Session; Lunch on your own
APHA 2016 Annual Meeting & Expo (Oct. 29 - Nov. 2, 2016)
Proposal
Review of statistical analyses covered in part 2
Michael A. Joseph, PhD, MPH
School of Public Health at SUNY Downstate Medical Center, Brooklyn, NY
APHA 2016 Annual Meeting & Expo (Oct. 29 - Nov. 2, 2016)
This session is designed to reinforce analyses pertaining to the chi-square test, relative risk and odds ratio, and correlation and simple linear regression through use of fun, interactive quizzes that foster critical thinking and discussion.
Biostatistics, economics Epidemiology
Proposal
Part 3: Multivariable regression methods
Michael A. Joseph, PhD, MPH
School of Public Health at SUNY Downstate Medical Center, Brooklyn, NY
APHA 2016 Annual Meeting & Expo (Oct. 29 - Nov. 2, 2016)
Using practical exercises that foster hands-on experience involving SPSS, students will learn how to control for potential confounding factors through multiple linear regression analysis and multiple logistic regression analysis.
Biostatistics, economics Epidemiology
Proposal
Afternoon Break
APHA 2016 Annual Meeting & Expo (Oct. 29 - Nov. 2, 2016)
Proposal
Review of statistical analyses covered in part 3
Michael A. Joseph, PhD, MPH
School of Public Health at SUNY Downstate Medical Center, Brooklyn, NY
APHA 2016 Annual Meeting & Expo (Oct. 29 - Nov. 2, 2016)
This session is designed to reinforce analyses pertaining to multiple linear regression and multiple logistic regression through use of fun, interactive quizzes that foster critical thinking and discussion
Biostatistics, economics Epidemiology
Proposal
Post-test and LI course evaluation
Michael A. Joseph, PhD, MPH
School of Public Health at SUNY Downstate Medical Center, Brooklyn, NY
APHA 2016 Annual Meeting & Expo (Oct. 29 - Nov. 2, 2016)
The purpose of this session is to evaluate the content and delivery of this biostatistics Learning Institute. At the beginning of the session, participants will complete a brief, post-test questionnaire.
Biostatistics, economics Epidemiology