Statistical methods in public health iii

  • What are the types of statistics used in public health?

    There are several types of data that are commonly used in public health research, including numerical data, binary data, and time-to-event data..

  • With SPSS Statistics, your healthcare organization can implement a data-driven model of care that improves quality, lowers costs and drives better patient outcomes.

What are the prerequisites for data science for public health?

Corequisite (s):

  1. Must also enrol for a lab
  2. PH
140.924.
Course location and modality is found on the JHSPH website.
PH.140.628.
Data Science for Public Health I. 4 Credits.
Presents the basics of data science using the R programming language.
,

What is a multilevel statistical model?

Gives an overview of "multilevel statistical models" and their application in public health and biomedical research.
Multilevel models are regression models in which the predictor and outcome variables can occur at multiple levels of aggregation:

  1. for example
  2. at the personal
  3. family
  4. neighborhood
  5. community and regional levels
,

What is statistical methods in public health?

PH.140.622.
Statistical Methods in Public Health II. 4 Credits.
Presents use of confidence intervals and and hypothesis tests to draw scientific statistical inferences from public health data.
Introduces generalized linear models, including:

  1. linear regression and logististic regression models
,

What is the role of quantitative methods and Sciences in public health?

Discusses the role of quantitative methods and sciences in public health, including:

  1. how to use them to describe and assess population health
  2. the critical importance of evidence in advancing public health knowledge

Course location and modality is found on the JHSPH website.
PH.140.762.

Categories

Two statistical methods
Statistical linear methods
Statistical methods line
Statistical analysis linear regression
Statistical analysis limitations
Statistical analysis literature review
Statistical analysis linguistics
Statistical analysis limit of detection
Statistical methods mixture model
Statistical mining methods
Statistical analysis minimum sample size
Statistical analysis minitab
Statistical analysis missing data
Statistical analysis microbiology
Statistical analysis microsoft excel
Statistical analysis mixed model
Statistical analysis microsoft
Statistical analysis microscopy
Statistical analysis mice
Statistical analysis misconduct