Top image: With my students at the New York Academy of Sciences ‘Food Connection’ program
Biostatistics in Public Health Specialization
| sloka_iyengar_biostats_certification.pdf |
This specialization builds statistical skills for biological sciences. This set of modules is meant to give participants the skills to master the tools and methods needed to analyze, interpret, and communicate biostatistical data.
1. Summary Statistics in Public Health
This course focused on the use of statistical measurement methods within the world of public health research. Topics included summary measures, visual displays, continuous data, sample size, the normal distribution, binary data, the element of time, and the Kaplan-Meier curve.
This course focused on the use of statistical measurement methods within the world of public health research. Topics included summary measures, visual displays, continuous data, sample size, the normal distribution, binary data, the element of time, and the Kaplan-Meier curve.
2. Hypothesis Testing in Public Health
This course built upon previous materials to discuss confidence intervals, the need for ample sizes of data, and ways to get around the need for ample sizes of data. The role of the Central limit theorem in setting a groundwork for computing a confidence interval for an unknown population parameter (mean, proportion, incidence rate) using the results from a single sample was discussed.
This course built upon previous materials to discuss confidence intervals, the need for ample sizes of data, and ways to get around the need for ample sizes of data. The role of the Central limit theorem in setting a groundwork for computing a confidence interval for an unknown population parameter (mean, proportion, incidence rate) using the results from a single sample was discussed.
3. Simple Regression Analysis in Public Health
This module focused on the use of simple regression methods to determine the relationship between an outcome of interest and a single predictor via a linear equation. A variety of methods were introduced, and the course gave practice interpreting data and performing calculations on real data from published studies. Topics included logistic regression, confidence intervals, p-values, Cox regression, confounding, adjustment, and effect modification.
This module focused on the use of simple regression methods to determine the relationship between an outcome of interest and a single predictor via a linear equation. A variety of methods were introduced, and the course gave practice interpreting data and performing calculations on real data from published studies. Topics included logistic regression, confidence intervals, p-values, Cox regression, confounding, adjustment, and effect modification.
4. Multiple Regression Analysis in Public Health
This module focused on the concepts of multiple regression for estimation, adjustment, and basic prediction, multiple linear regression, multiple logistic regression, basics of model estimates, effect modification, multiple Cox regression, and the “Linearity” assumption.
This module focused on the concepts of multiple regression for estimation, adjustment, and basic prediction, multiple linear regression, multiple logistic regression, basics of model estimates, effect modification, multiple Cox regression, and the “Linearity” assumption.
Epidemiology in Public Health Practice
This course uses study design and analyses to identify causes in an outbreak situation, guides interventions to improve population health, and evaluates programs and policies.
This course uses study design and analyses to identify causes in an outbreak situation, guides interventions to improve population health, and evaluates programs and policies.
- Measuring disease in epidemiology
- Study designs in epidemiology
- Validity and bias in epidemiology
Project Management Professional
The PMP certification is an internationally recognized professional designation offered by the Project Management Institute. Topics covered include various aspects of project management such as initiation, planning, execution, monitoring and control, and project closing.
The PMP certification is an internationally recognized professional designation offered by the Project Management Institute. Topics covered include various aspects of project management such as initiation, planning, execution, monitoring and control, and project closing.
- Project integration management
- Project scope management
- Project schedule management
- Project cost management
- Project quality management
- Project resource management
- Project Communications Management
- Project risk management
- Project procurement management
- Project stakeholder management
The Business of Science (SciPhD)
The SciPhD workshop was designed to offer resources and hands-on training to identify and develop skills in communications, leadership, negotiations, team building, networking, and project management to graduate students and postdoctoral fellows. Sessions included:
The SciPhD workshop was designed to offer resources and hands-on training to identify and develop skills in communications, leadership, negotiations, team building, networking, and project management to graduate students and postdoctoral fellows. Sessions included:
- The Business of Science
- Successful Communications as a Scientist
- Six Leadership Styles
- Developing Your People
- Finance and Negotiating your Compensation Package
- Building Effective Teams
- Practical Project Management for Scientists
- Networking, Interviewing, and Applying What You’ve Learned