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Two data frames, plaque_psoriasis_ipd and plaque_psoriasis_agd, containing (simulated) individual patient data from four studies and aggregate data from five studies (Phillippo 2019) . Outcomes are binary success/failure to achieve 75%, 90%, or 100% reduction in symptoms on the Psoriasis Area and Severity Index (PASI) scale.

Usage

plaque_psoriasis_ipd

plaque_psoriasis_agd

Format

The individual patient data are contained in a data frame plaque_psoriasis_ipd with 4118 rows, one per individual, and 16 variables:

studyc

study name

trtc_long

treatment name (long format)

trtc

treatment name

trtn

numeric treatment code

pasi75

binary PASI 75 outcome

pasi90

binary PASI 90 outcome

pasi100

binary PASI 100 outcome

age

age (years)

bmi

body mass index (BMI)

pasi_w0

PASI score at week 0

male

male sex (TRUE or FALSE)

bsa

body surface area (percent)

weight

weight (kilograms)

durnpso

duration of psoriasis (years)

prevsys

previous systemic treatment (TRUE or FALSE)

psa

psoriatic arthritis (TRUE or FALSE)

The aggregate data are contained in a data frame plaque_psoriasis_agd with 15 rows, one per study arm, and 26 variables:

studyc

study name

trtc_long

treatment name (long format)

trtc

treatment name

trtn

numeric treatment code

pasi75_r, pasi75_n

PASI 75 outcome count and denominator

pasi90_r, pasi90_n

PASI 75 outcome count and denominator

pasi100_r, pasi100_n

PASI 75 outcome count and denominator

sample_size_w0

sample size at week zero

age_mean, age_sd

mean and standard deviation of age (years)

bmi_mean, bmi_sd

mean and standard deviation of BMI

pasi_w0_mean, pasi_w0_sd

mean and standard deviation of PASI score at week 0

male

percentage of males

bsa_mean, bsa_sd

mean and standard deviation of body surface area (percent)

weight_mean, weight_sd

mean and standard deviation of weight (kilograms)

durnpso_mean, durnpso_sd

mean and standard deviation of duration of psoriasis (years)

prevsys

percentage of individuals with previous systemic treatment

psa

percentage of individuals with psoriatic arthritis

An object of class data.frame with 15 rows and 26 columns.

References

Phillippo DM (2019). Calibration of Treatment Effects in Network Meta-Analysis using Individual Patient Data. Ph.D. thesis, University of Bristol. Available from https://research-information.bris.ac.uk/.