apollo_drugChoiceData: Simulated dataset of medication choice.
In apollo: Tools for Choice Model Estimation and Application

apollo_drugChoiceData

R Documentation

Simulated dataset of medication choice.

Description

A simulated dataset containing 10,000 stated medication choices among four alternatives.

Usage

apollo_drugChoiceData

Format

A data.frame with 10,000 rows and 33 variables:

ID: Numeric. Identification number of the individual.
task: Numeric. Index of choice situations for each individual, going from 1 to 10.
best: Numeric. Index of alternative selected as best option.
second_pref: Numeric. Index of alternative selected as second-best option.
third_pref: Numeric. Index of alternative selected as third-best option.
worst: Numeric. Index of alternative selected as worst option.
brand_1: Character. Brand for alternative 1.
country_1: Character. Country of origin for alternative 1.
char_1: Character. Characteristics of alternative 1 (standard, fast acting, or double strength).
side_effects_1: Numeric. Chance of suffering negative side effects with alternative 1 (out of 100,000).
price_1: Numeric. Cost of alternative 1 in Pounds sterling (GBP).
brand_2: Character. Brand for alternative 2.
country_2: Character. Country of origin for alternative 2.
char_2: Character. Characteristics of alternative 2 (standard, fast acting, or double strength).
side_effects_2: Numeric. Chance of suffering negative side effects with alternative 2 (out of 100,000).
price_2: Numeric. Cost of alternative 2 in Pounds sterling (GBP).
brand_3: Character. Brand for alternative 3.
country_3: Character. Country of origin for alternative 3.
char_3: Character. Characteristics of alternative 3 (standard, fast acting, or double strength).
side_effects_3: Numeric. Chance of suffering negative side effects with alternative 3 (out of 100,000).
price_3: Numeric. Cost of alternative 3 in Pounds sterling (GBP).
brand_4: Character. Brand for alternative 4.
country_4: Character. Country of origin for alternative 4.
char_4: Character. Characteristics of alternative 4 (standard, fast acting, or double strength).
side_effects_4: Numeric. Chance of suffering negative side effects with alternative 4 (out of 100,000).
price_4: Numeric. Cost of alternative 4 in Pounds sterling (GBP).
regular_user: Numeric. 1 if the respondent is a regular user of headache medicine, 0 otherwise.
university_educated: Numeric. 1 if the respondent holds a university degree, 0 otherwise.
over_50: Numeric. 1 if the respondent is 50 years old or older, 0 otherwise.
attitude_quality: Numeric. Level of agreement from 1 (strongly disagree) to 5 (strongly agree) with the phrase 'I am concerned about the quality of drugs developed by unknown companies'.
attitude_ingredients: Numeric. Level of agreement from 1 (strongly disagree) to 5 (strongly agree) with the phrase 'I believe that ingredients are the same no matter what brand'.
attitude_patent: Numeric. Level of agreement from 1 (strongly disagree) to 5 (strongly agree) with the phrase 'The original patent holders have valuable experience with their medicines'.
attitude_dominance: Numeric. Level of agreement from 1 (strongly disagree) to 5 (strongly agree) with the phrase 'I believe the dominance of big pharmaceutical companies is unhelpful'.

Details

This dataset is to be used for discrete choice modelling. Data comes from 1,000 individuals, each with ten stated choice (SC) scenarios involving a choice among headache medication. There are 10,000 choices in total. Data is simulated. Each observation contains attributes of the alternatives, characteristics of the respondent, and their answers to four attitudinal questions. All four alternatives are always available for all individuals. Alternatives 1 and 2 are branded, while alternatives 3 and 4 are generic. Respondents provide a full ranking of alternatives for each choice task (i.e. observation).