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Visualizing data from epidemiologic studies: An expanded scatter plot matrix Benjamin Barnes, Karen Steindorf German Cancer Research Center (DKFZ) Unit of Environmental Epidemiology 2008 Dortmund, 13 August 2008 b.barnes@dkfz.de Physical

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Visualizing data from epidemiologic studies:

An expanded scatter plot matrix

Benjamin Barnes, Karen Steindorf German Cancer Research Center (DKFZ) Unit of Environmental Epidemiology 2008 Dortmund, 13 August 2008

b.barnes@dkfz.de

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Page 2 13-Aug-08 | Benjamin Barnes Environmental Epidemiology

Physical Activity and Breast Cancer

Friedenreich C, Cust A. Physical activity and breast cancer risk: impact of timing, type and dose

  • f activity and population subgroup effects. Br J Sport Med (2008). [Epub ahead of print].

Relative risk, high vs. low physical activity

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Page 3 13-Aug-08 | Benjamin Barnes Environmental Epidemiology

Hypotheses how physical activity might affect cancer risk

  • Sex steroid hormones
  • Insulin and glucose
  • Immune system
  • Inflammatory factors
  • Insulin-like growth factor (IGF) system
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Page 4 13-Aug-08 | Benjamin Barnes Environmental Epidemiology

IGF-I and Breast Cancer

Renehan A, Harvie M, Howell A. Insulin-like growth factor (IGF)-I, IGF binding protein-3, and breast cancer risk: eight years on. Endocrine-Related Cancer (2006); 13: 273-278.

  • IGF-I is mitogenic

and antiapoptotic

  • High IGF-I levels

associated with cancer risk (breast, colon, prostate)

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Page 5 13-Aug-08 | Benjamin Barnes Environmental Epidemiology

What might affect IGF-I levels?

  • Non-modifiable
  • Age
  • Benign Breast

disease

  • Modifiable
  • Body Mass Index
  • Smoking
  • Physical activity

Continuous | Categorical

How can this data be visualized for EDA?

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Page 6 13-Aug-08 | Benjamin Barnes Environmental Epidemiology

pairs()

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Page 7 13-Aug-08 | Benjamin Barnes Environmental Epidemiology

pairs.table()

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Page 8 13-Aug-08 | Benjamin Barnes Environmental Epidemiology

gpairs()

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Page 9 13-Aug-08 | Benjamin Barnes Environmental Epidemiology

my.splom(input.vars, cond.var = "Meno.Status", data, sig.col = "red", stats = FALSE, xlab = "Continuous and Categorical Data Plot Matrix", alpha = 0.05, , upper.plots = NULL, lower.plots = NULL ...)

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Page 10 13-Aug-08 | Benjamin Barnes Environmental Epidemiology

my.splom(input.vars, cond.var = "Meno.Status", data, sig.col = "red", stats = "bivar", xlab = "Continuous and Categorical Data Plot Matrix", alpha = 0.05, , upper.plots = NULL, lower.plots = NULL ...)

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Page 11 13-Aug-08 | Benjamin Barnes Environmental Epidemiology

my.splom(input.vars, cond.var = "Meno.Status", data, sig.col = "red", stats = c("bivar","int"), xlab = "Continuous and Categorical Data Plot Matrix", alpha = 0.05, , upper.plots = NULL, lower.plots = NULL ...)

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Page 12 13-Aug-08 | Benjamin Barnes Environmental Epidemiology

Conclusions I

  • The function
  • Based on splom()
  • Handles categorical and

continuous data

  • Computes bivariate statistics
  • Handles conditioning variable
  • Can help detect effect modification
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Page 13 13-Aug-08 | Benjamin Barnes Environmental Epidemiology

Conclusions II