apollo_drugChoiceData: Simulated dataset of medication choice.

Description Usage Format Details Source

Description

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

Usage

1

Format

A data frame with 10000 rows and 33 variables:

ID

Numeric. Identification number of the individual.

task

Numeric. 1 if the row corresponds to a revealed preference (RP) observation. 0 otherwise.

best

Numeric. Consecutive ID of RP observation.

second_pref

Numeric. 1 if the row corresponds to a stated preference (SP) observation. 0 otherwise.

third_pref

Numeric. Consecutive ID of SP choice task.

worst

Numeric. Access time (in minutes) of mode air.

brand_1

Character. Name of alternative's brand.

country_1

Character. Name of alternative's country of origin.

char_1

Character. Characteristics of the alternative (standard, fast acting, or double strength).

side_effects_1

Numeric. Chance of suffering negative side effects if this alternative is consumed.

price_1

Numeric. Cost of this alternative in Pounds sterling (GBP).

brand_2

Character. Name of alternative's brand.

country_2

Character. Name of alternative's country of origin.

char_2

Character. Characteristics of the alternative (standard, fast acting, or double strength).

side_effects_2

Numeric. Chance of suffering negative side effects if this alternative is consumed.

price_2

Numeric. Cost of this alternative in Pounds sterling (GBP).

brand_3

Character. Name of alternative's brand.

country_3

Character. Name of alternative's country of origin.

char_3

Character. Characteristics of the alternative (standard, fast acting, or double strength).

side_effects_3

Numeric. Chance of suffering negative side effects if this alternative is consumed.

price_3

Numeric. Cost of this alternative in Pounds sterling (GBP).

brand_4

Character. Name of alternative's brand.

country_4

Character. Name of alternative's country of origin.

char_4

Character. Characteristics of the alternative (standard, fast acting, or double strength).

side_effects_4

Numeric. Chance of suffering negative side effects if this alternative is consumed.

price_4

Numeric. Cost of this alternative 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 preferences (SP) observations 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).

Source

http://www.apollochoicemodelling.com/


apollo documentation built on Oct. 30, 2019, 12:10 p.m.