Page Index - lvphj/epydemiology GitHub Wiki
79 page(s) in this GitHub Wiki:
- Home
- Welcome to the ePydemiology wiki!
- Loading and retrieving data
- Miscellaneous functions
- Matrix functions
- Plotting proportions
- Postcode-related functions
- Select data
- Clean data
- Explore data
- Epidemiology-related functions
- Add a postcode variable formatted to 7 characters
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- Aggregate duplicate columns and rows in Pandas dataframe
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- Calculate and plot proportions
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- Calculate binomial confidence intervals in summary table
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- Calculate odds and odds ratios for case control studies
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- Calculate relative risks for cross sectional or longitudinal studies
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- Categorise a continuous variable using predefined breaks, quantiles or optimised break positions
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- Clean UK postcodes
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- Collpase on patient ID
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- Connect to databases
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- Convert a disease summary table to a dataframe of binary outcomes
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- Convert columns of binary data to a square matrix containing co occurrences
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- Convert long dataframe to wide format containing binary variables
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- Convert Pandas dataframe from wide to long format
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- Convert placename conjunctions to lowercase
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- Convert UK date to standard format
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- Create a named group regex from individual regexes
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- Extract Ordnance Survey grid reference and convert to longitude and latitude
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- Extracts minimum repeating string from string variable
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- Find regular expression named group matches
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- Generate or select a matched or unmatched case control dataset
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- Identify the maximum level of taxonomic detail in a categorisation
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- Load data from a MySQL or SQL SERVER database
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- Load data from a named cell range in an Excel workbook
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- Load text from a text file into a Python string variable
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- Load text from a text file or argument into a Python string variable
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- Parse date variables
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- Plot annual disease trend
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- Retrieve unique values from dataframes
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- Reverse map a categorical variable based on dictionary values
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- Strip whitespace from object columns of dateframe
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- Update dataframe with new values
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- Update LUT to latest values
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- View a plot of log odds against mid points of categories of a continuous variable
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