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JMP Software

JMP, a statistical software package from SAS, is designed for dynamic data visualization. It allows study teams to obtain descriptive statistics and perform simple data analysis.

For those who need personalized assistance, the CTSA Service Center also offers one-on-one statistical and epidemiological consultations.

All courses in this series are presented by Ross A. Dierkhising, a master's-level biostatistician who also consults through the CTSA's Biostatistics, Epidemiology and Research Design (BERD) Resource.

CME: College of Medicine, Mayo Clinic, is accredited by the Accreditation Council for Continuing Medical Education to provide continuing medical education for physicians.

College of Medicine, Mayo Clinic, designates this enduring material for a maximum of 1 AMA PRA Category 1 Credit(s) TM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

JMP I: Introduction to JMP for Research

"JMP Dataset Creation"

  • At the completion of this module, learners will be able to create a new dataset by entering data into a JMP table, define column properties for a variable, import a dataset from another file (such as Excel) and export a JMP dataset to another file type (such as Excel). Released March 1, 2013; credit expires Dec. 31, 2013.
  • Mayo Clinic employees: Enroll now
  • Non-Mayo participants: Enroll now

"Creating New Variables in JMP Datasets Using Formulas"

  • At the completion of this module, learners will be able to describe the functions of the formula editor, calculate the difference between two numeric variables, calculate body mass index from weight and height, use if/then statements, and calculate a time interval. Released March 1, 2013; credit expires Dec. 31, 2013.
  • Mayo Clinic employees: Enroll now
  • Non-Mayo participants: Enroll now

"JMP Dataset Manipulations"

  • At the completion of this module, learners will be able to subset rows from a dataset, sort data by one or more variables, concatenate two datasets, check for duplicate subjects in a dataset, and join two datasets. Released March 1, 2013; credit expires Dec. 31, 2013.
  • Mayo Clinic employees: Enroll now
  • Non-Mayo participants: Enroll now

"Computation of Descriptive Statistics and How to Save Results in JMP"

  • At the completion of this module, learners will be able to describe how variable modeling types determine which statistics are computed, identify where to find specific descriptive statistics in the output, use a "by" variable to obtain descriptive statistics within groups, save output in various formats and journal an output to collate results. Released March 1, 2013; credit expires Dec. 31, 2013.
  • Mayo Clinic employees: Enroll now
  • Non-Mayo participants: Enroll now

JMP II: Using JMP to Apply Statistical Methods Commonly Used in Research

"Analysis of Means Using JMP"

  • At the completion of this module, learners will be able to conduct a one-sample test of a mean, conduct a two-sample test of means, compare means from more than two independent groups and compare two dependent means. Released March 1, 2013; credit expires Dec. 31, 2013.
  • Mayo Clinic employees: Enroll now
  • Non-Mayo participants: Enroll now

"Analysis of Proportions Using JMP"

  • At the completion of this module, learners will be able to conduct a one-sample test of a proportion, conduct a two-sample test of proportions, compare proportions from more than two independent groups, conduct a one-sample test for a multinomial distribution, compare multinomial distributions from independent groups and compare two dependent proportions. Released March 1, 2013; credit expires Dec. 31, 2013.
  • Mayo Clinic employees: Enroll now
  • Non-Mayo participants: Enroll now

"Linear Regression and Correlation Using JMP"

  • At the completion of this module, learners will be able to fit a simple linear regression model with a continuous or categorical predictor, estimate correlation coefficients and fit a multiple linear regression model. Released March 1, 2013; credit expires Dec. 31, 2013.
  • Mayo Clinic employees: Enroll now
  • Non-Mayo participants: Enroll now

"Logistic Regression and ROC Curves Using JMP"

  • At the completion of this module, learners will be able to fit a simple logistic regression model with a continuous or categorical predictor, construct an ROC curve from a model with one continuous predictor and assess cut-off values, fit a multiple logistic regression model, and construct an ROC curve from a model with multiple predictors and assess cut-off values. Released March 1, 2013; credit expires Dec. 31, 2013.
  • Mayo Clinic employees: Enroll now
  • Non-Mayo participants: Enroll now

"Survival (Time to Event) Analysis Using JMP"

  • At the completion of this module, learners will be able to estimate Kaplan-Meier survival and failure curves, properly estimate the median time to event, compare Kaplan-Meier curves between groups, fit a univariate Cox proportional hazards model with a continuous or categorical predictor, fit a multivariable Cox proportional hazards model, and recognize predictors that JMP cannot handle (time-dependent covariates). Released March 1, 2013; credit expires Dec. 31, 2013.
  • Mayo Clinic employees: Enroll now
  • Non-Mayo participants: Enroll now
  • March 28, 2013
  • ART502076